CA2369669A1 - Iterative drilling simulation process for enhanced economic decision making - Google Patents

Iterative drilling simulation process for enhanced economic decision making Download PDF

Info

Publication number
CA2369669A1
CA2369669A1 CA002369669A CA2369669A CA2369669A1 CA 2369669 A1 CA2369669 A1 CA 2369669A1 CA 002369669 A CA002369669 A CA 002369669A CA 2369669 A CA2369669 A CA 2369669A CA 2369669 A1 CA2369669 A1 CA 2369669A1
Authority
CA
Canada
Prior art keywords
drilling
well bore
simulation
bit
formation
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CA002369669A
Other languages
French (fr)
Other versions
CA2369669C (en
Inventor
William W. King
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Halliburton Energy Services Inc
Original Assignee
Halliburton Energy Services Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Family has litigation
First worldwide family litigation filed litigation Critical https://patents.darts-ip.com/?family=25230283&utm_source=google_patent&utm_medium=platform_link&utm_campaign=public_patent_search&patent=CA2369669(A1) "Global patent litigation dataset” by Darts-ip is licensed under a Creative Commons Attribution 4.0 International License.
Application filed by Halliburton Energy Services Inc filed Critical Halliburton Energy Services Inc
Publication of CA2369669A1 publication Critical patent/CA2369669A1/en
Application granted granted Critical
Publication of CA2369669C publication Critical patent/CA2369669C/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

Links

Classifications

    • EFIXED CONSTRUCTIONS
    • E21EARTH DRILLING; MINING
    • E21BEARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B7/00Special methods or apparatus for drilling
    • EFIXED CONSTRUCTIONS
    • E21EARTH DRILLING; MINING
    • E21BEARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B12/00Accessories for drilling tools
    • E21B12/02Wear indicators
    • EFIXED CONSTRUCTIONS
    • E21EARTH DRILLING; MINING
    • E21BEARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B44/00Automatic control systems specially adapted for drilling operations, i.e. self-operating systems which function to carry out or modify a drilling operation without intervention of a human operator, e.g. computer-controlled drilling systems; Systems specially adapted for monitoring a plurality of drilling variables or conditions
    • EFIXED CONSTRUCTIONS
    • E21EARTH DRILLING; MINING
    • E21BEARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B44/00Automatic control systems specially adapted for drilling operations, i.e. self-operating systems which function to carry out or modify a drilling operation without intervention of a human operator, e.g. computer-controlled drilling systems; Systems specially adapted for monitoring a plurality of drilling variables or conditions
    • E21B44/005Below-ground automatic control systems
    • EFIXED CONSTRUCTIONS
    • E21EARTH DRILLING; MINING
    • E21BEARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B49/00Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells
    • EFIXED CONSTRUCTIONS
    • E21EARTH DRILLING; MINING
    • E21BEARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B49/00Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells
    • E21B49/003Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells by analysing drilling variables or conditions
    • EFIXED CONSTRUCTIONS
    • E21EARTH DRILLING; MINING
    • E21BEARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B2200/00Special features related to earth drilling for obtaining oil, gas or water
    • E21B2200/22Fuzzy logic, artificial intelligence, neural networks or the like
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E30/00Energy generation of nuclear origin
    • Y02E30/10Nuclear fusion reactors

Abstract

An iterative drilling simulation method and system for enhanced economic decision making includes obtaining characteristics of a rock column in a formation to be drilled, specifying characteristics of at feast one drilling rig system;
and iteratively simulating the drilling of a well bore in the formation. The method and system further produce an economic evaluation factor for each iteration of drilling simulation. Each iteration of drilling simulation is a function of the rock column and the characteristics of the at least one drilling rig system according to a prescribed drilling simulation model.

Description

a , CA 02369669 2002-O1-29 .,.
,., ..: , ".
PATENT
. ._ .. .. _ .... . . . _ _. _... . .... __~..__~.. .r.,..,., . __. _ .
~~:~~s_. ~.~....~ __~ _ ___..._..._~____ _. _' _ _ . _ _ ITERATIVE DRILLING SIMULATION PROCESS FOR

s This application is a cantin.uation-in-part ofi co-pending U.S. patent application Ser. No. 09/649,495, entitled "Method axtd'~'System for Predicting the Performance of a .Drilling System for a ~iwert'~arr~atiora'~:yledvA.ug.. 8;- 2000, which is a continuation- ' in-part application of.Ser. No.091192,389,..fled Nov. 13, 1998, now U.S. Pat.
No.
io 6,109,368, which is a continuation-ir-part of Ser. No. 09/048,360, filed March 26, 1998, now U.S. Pat. No.6,131,673, which is a continuation-in-part of application No.
08f621,411, filed Mar. 25, 1996, now-U:S: .Pat. No. 5,794,720. The co-pending patent application and issued patents are incorporated herein by referenced.
in their a nti rety.
IS
Background The present disclosure relates to geology and drilling mechanics, and mare particularly to an iterative drilling simulation method and system for enhanced economic decision making.
2o Prior drilling prediction methods have included the use of geology and drilling mechanics for selecting an appropriate bit for use in the drilling of a bore hole in a particular formation: For example, with respect to bit selection, a rock strength column characterizes the particular geology. The rock strength column is calculated from weft logs. Then, one or more bits are "matched" to the rock strength.
~s In another method, referred to as OASIS available from Baker Hughes of Houston, TX, a drilling optimization service operates in a manner similar to the way 3.
I

. CA 02369669 2002-O1-29 ' . _ r:':~,,;
~ .,_;;~> '~:~.,y r t - 'l PATENT
Docket No.: 27735.7 (SD-00-007) that oil companies have done themselves for determining a drilling optimization,.but on a farmed out basis.
In yet another method, referred to as DROPS drilling simulator available from DROPS Technology AS of Norway, the DROPS drilling simulator drilling optimization s service includes reverse engineering a rock strength column from a "geolograph."
The geo(ograph includes a minute-by-minute record of drilling rate from a previous ~.
drilled well. The DROPS drilling-simulator method then Looks at bit selections that fit the estimated rock strength column.
i0 Summary Y:r ;: ~~ . ~. -: An iterative drilling simulation method for enhanced~'econ~rrric ,decision _.;;;~ p ~, =~~ldng:inclucies.obtaining characteristicsyf a-.rack°col~rnrr~~in a..fe~rmatit,~n:=fo be . , eir~lled,. specifying characteristics of at least onE driLlicig rag -s~sterxt; and~iteratively .
e~'~~. ~ ~~simulatirg the drilling of a well bore in the formation:- The-method farther produces Is an economic evaluation factor for each iteration of drilling simulation.
Each iteration ~of;dritling simulation is a function of the rock column and the characteristics of the at -le~st-oh~:drilling rig system according to a prescribed. drilling, simulatinrr~mod~l.
In addition, a recommendation package based upon a given iteration of the simulated drilling of a well bore is produced. The recommendation package enables 2o enhanced decision making with respect to an actual drilling in a field containing formations analogous to the rock column. An iterative drilling simulation system and computer program are also disclosed.
Brief Descriiption of th.e Drawings zs Fig. 1 is a block diagram overview of the iterative virtual drilling simulation service according to one embodiment;
Fig. 2 is a block diagram representation of the iterative drilling simulation system according to one embodiment;
Fig. 3 is a block diagram view of an iterative virtual drilling simulation according to an embodiment of the present disclosure;
' 1 ' , t PATENT
Docket No.: 27735.7 (SD-00-007) Fig. 4 is an exemplary output view of a sample iterative virtual drilling simulation for a first geology;
Fig. 5 is an exemplary output view of a sample iterative virtual drilling simulation for a second geology;
s Fig. 6 is a flow diagram view of an iterative virtual drilling simulation method according to one embodiment;
Fig: 7 is a block diagram view of an iterative drilling simulator according to another embodiment; and Fig. 8 is a flow diagram view of an iterative virtual drilling simulation method is performance than previously known. The present embodiments further provide simulation and recommendation infom~ation suitable for enabling better economic. . .
. . . _,.. d~isions to be. made by rigv contractors, oilfield operating compar?ies, -and others, as .
may be appropriate.
According to one embodiment of the present disclosure, various combinations 20 of drilling rig systems with difFering energy input capabilities, bits, and fluid properties are iteratively simulated to produce corresponding virtual drilling scenarios.
The virtual drilling scenarios are suitable for use in economic decision making.
The iterative simulator of the present disclosure provides recommendations, including detailed information, sufficient to assist a drilling,contractor in making a best 2s decision, in view of available equipment, constraints,~and economics, as further discussed herein.
The iterative drilling simulator method and system of the present disclosure, utilizes drilling mechanics software, as a function of prescribed drilling mechanics models, for "drilling" with various computerized bits and comparing their respective predicted performances during the drilling of a well bore in a given formation. .
\. ,. i',',,,,, _ 1.,;:, ~, PATENT
Docket No.: 27735.7 (SD-00-007) The present embodiments further include'a method of iteratively simulating the drilling of a well bore using alternate drib rig and equipment selections.
According to one embodiment, the simulations are requested and performed at the front end of a drilling operator's economics decision making process.
Subsequent to s an iterative drilling simulation, recommendations are generated as a function of the iterative drilling simulations for a particular geology formation and economic evaluation factors.
The present embodiments further include a software enabled business process for greatly increasing accuracy and reducing a risk window of high value io decision making in the oil and gas business: Currently in the art, only the roughest of estimates are made as to ultimate drilling casts for-a given prospect, such estimates ", . . . be~ngv-made without software-at~d-ifierat~ve~driili~ig sirri~if~tiQr~
such as.disclosed -..... herein: - w: .:;v: .~~_ ':~;~;. v , . .. _ . _ . According to one embodiment of the pre~ertt disdlosure, the simulator is includes a system for predicting performance of a drilling system, such as that .. disclosed in U.S. Patent 6,109,368, incorporated herein by reference. The system - - ~ for-predicting performance of a drilling system, coupl~edvnrith financial models and iterative drilling simulations as discussed herein, produces content for inclusion in a recommendation output as a function of .economic evaluation factors.
Accordingly, 2o the simulator output enables the making of far more accurate and sophisticated decisions, than previously known.
The present embodiments further includes a business process in which estimated rock columns developed from well logs, or from seismic data, are "drilled"
with a software simulator in an iterative manner., Drilling of the estimated rock 2s columns is carried out with varying input parameters, including different drilling rig equipment characteristics, for generating estimates of comparative economics.
The present embodiments provide a useful tool .for assisting in one or more of the following types of significant decision making processes:
Comparative rig selection, ~i Rig modification and upgrade valuations, s-.
-.. . :; ' 4:.rr.

PATENT
Docket No.: 27735.7 (SD-00-007) Lease asset comparisons, Down hole tool economics, Contractor pricing and equipment qualification studies, Economic impact of drilling fluids selection, s Estimates of time to first economic hydrocarbon production, Estimations of infield drilling economics, and Leased and producing property value and drilling cost evaluations.
Equipped with one or more of the embodiments of the present disclosure, a io consyfiing firm could provide services in accordance with the present embodiments, ~_r~ .fo~-a~st~t~>'rg,irvith the significant decision making process°es~tt~ be-made~l~yva~dritii~~
,!.~ r op.~rator,or.d.rcll~rrg contractor; further.as discussed: heren~ : ,:. .. . .
..t ,, - .. . . .
_ ~ . f~efei-ringwow to Fig..1; a block diagram overviewof he iter~tive~:rvirt~at . - . ".. ."._: ~dfipit~g:air~u,fation method for enhanced economic decisi°on makirig according to'one w is embodiment is illustrated. The iterative drilling simulation method includes a virtual . .dril(ing:simuGation service 10 receiving a request for services from a.n operating:. ~ .
v::company 12:vvln this-exampie, the operating company provides geology data and-°
equipment data 14, as appropriate, in connection with a proposed drilling of a well bore in a given formation. For example; the.operating company 12 provides geology 20 data 16 from well log data 18 obtained from a previous well (or wells).
Accordingly, the iterative drilling simulation method includes obtaining characteristics of a rock column in a formation to be drilled and characteristics of at least one drilling rig system. The operating company also specifies the characteristics of at least one drilling rig system for consideration 2s The method further includes iteratively simulating the drilling of a well bore in the formation and producing an economic evaluation factor for each iteration of drilling simulation, generally indicated by reference numeral 20. Each iteration of drilling simulation (22a,22b) is a function of the rock column 24 and the characteristics of the at least one drilling rig system (26a,26:b) according to a ~i prescribed drilling simulation model. Additional iterations of drilling simulations are v ! _;.,::. ,.
v S
t a PATENT
Docket No.: 27735.7 (SD-00-007) illustrated by tt..."!-as indicated-by reference numeral 22c. In one embodiment, the -drilling simulation model includes one or more of a mechanical efficiency model, bit wear model, hole cleaning efficiency model, penetration rate model, and drilling economics mode(, as discussed further herein.
s As shown in Fig. 1, the first drilling rig system 26a is characterized by the properties of drilling rig 28a, the properties of drilling fluid 30a, and the properties of drill bit 32a. Similarly, the second ~drillirig rig system 26b is characterized by the properties of drilling rig 28b, the properties of drilling fluid 30b, and the properties of drill bit 32b. Additional drilling rig systems can be considered, however, only two to have been shown for,simplici~ty of illustration.
The iterative drilling sirnulati~oh~.r~iet~hod further includes producing a drilling.
economies out. ufi 34;for each ~ofthe:ite af~ .
p r . l .e d.riilin,gaimu:lations, the drilling economics output corresponding to orte::Q~r t7rore economic evaluation factor.
According~to one embodiment; thev~conomic evaluation factor includes a minimum -~ w is number of hours on bottom to drill a desired well bore. The economic evaluation factor may also include a. minimum cost.amount for drilling the well bore, wherein the --minimur~:eost amount is-a function of bat-h-a:minimum number of hours on bottom to -:
drill the well bore and a cost per day for a respective drilling rig system.
Although the economic evaluation factors, have been discussed herein as 2o including a minimum number of hours on bottom.and a minimum cost amount for drilling the well bore, other economic evaluation factors are possible. There is a recognition that other factors effect economics. For example, such other factors include trip time, trouble time, and weather related downtime.
According to another embodiment, trip time, trouble time, and weather related 2s down time can be included as economic evaluation factors, as determined according to basic rules of thumb in the field. For example, trip time for an older rig may be 1,000 feet of pipe per hour, whereas trip time for a newer rig may be 1,200 feet of pipe per hour. Utilizing basic rules of thumb, appropriate estimates are added to a total drilling time for the iterative simulated drilling of a well bore, as a function of one ~c7 or more of trip time, trouble time, or weather related downtime.
Percentages of S
;'.; ,;;~~ ~'~.. ' .',.; ;
:...

PATENT
Docket No.: 27735.7 (SD-00-007) drilling time, tripping time, trouble time; or Weather related dovsintime may be s The iterative drilling simulator method and system can more accurately reflect (20%) of the total time needed to drill the well bore in the given formation.
included in a simulation. For example, the total drilling and tripping time may amount to eighty percent (80%) and trouble time may amount to twenty percent what goes on at the rig in the drilling of a well bore, including, for example, a number of trips expected to be made for replacing a bit, failed motor, etc.
Accordingly, the ultimate drilling cost will not only account for time on bottom, but also take into account a rig down time ("trouble time") based upon a percentage over and above io , the time needed to drill the will bore. For example, during an iterative drilling ,~.~;.~, .,simulation, a number of bits may be>considered.. One itera~~~on~r~a~r..:r~equire two fast bits ar~d;:tri time for re lacin the first bit: ith-tfre second: b't. Av.
r~tl~r . ..it r , ~..
. . ., . .. . f? p g i n er a atEOn may ., ;~piy ~ec#uire a single slow bit that is capably of:~ft~i~ltr~g ail th~.-wa.~«to~tfi~e bofto~ii of the ;_..... N,.ell~bore. . . . ... ...'.: . ....; _ :. . ~.::~. .:v.~;:~ ~ ...:: .
. . . . .
is According to one embodiment, the iterative drilling simulator method and _. . . . .:<..::. system produce an economic evaluation of the iterative simulations that.include . ~ ~.T..~consideration fQr one or more of th~-=eost of a trip, trQUbhe time, logi~stics.tirne, and weather related down time, as part of an overall economic evaluation. For example, a suitable multiplication factor proprietary to a given drilling operator can be.used to 2o adjust a simulated drilling iteration drill time for a given well bore. For one drilling operator, the proprietary multiplication factor may be seventeen percent (17%). Far another, the proprietary multiplication factor may be twenty two percent (22%).
With the embodiments of the present disclosure, multiplication factors faking into account an operator's own trouble time experience can be factored into an 2s economic evaluation of an iterative drilling simulation: Such percentage or percentages can be based upon the experience of a respective operator. For example, an off shore drilling rig may experience a certain percentage of weather related down time, such as during a hurricane season, when al! crew members are required to leave the rig for safety concerns. If the off shore rig is planned to drill for a three year period, then some portion of that time will likely include weather related ' ~ "'i:':
t PATENT
Docket No.: 27735.7 (SD-00-007) downtime, as uvell. as other factors as noted herein. Accordingly, while the iterative simulation method and system of the present disclosure provides an economic evaluation output scientifically linked to the geology of the formation in the drifting of a well bore, the economic evaluation output can be further adjusted to take into s account one or more of trouble time, logistics time, or weather related down time.
Referring still to Fig. 1, equipped with drilling economics output 34, the virtual drilling simulation service (at 10a)-reviews and analyzes the same for producing a recommendation package output, generally indicated by reference numeral 36, and as further discussed herein. The review and analysis may be performed io autorr~atically via computer control, manually, or a combination of both, according to prescrib:e~f~ evalua ion-~ruies.~ The evaluation rules may include econornic:rules d r:o . _... ... ..
. . an /o . her:rufes.::pertrnent to: a.particular drilling scenario. ,~ , .
.. . . . .
. , z ~The:o~erating company (at.12a) receives the recommeridat~on:pa~kage 36;~ .
.. ~ ~, --=and~tn ~responsewthereto; revelers an enhanced decision on rig equipment and v . ~-is operations, as generally indicated by reference numeral 38. Accordingly, the method of. the present.disclosure facilitates enhanced economic decision.
making . ..
with respevt to drilling of a well bore in a given formation, furtf~et- as a function~of drilling system characteristics and economic evaluation factors for the particular geology of the formation.
2o Fig. 2 is a block diagram representation of the iterative drilling simulation system according to one embodiment. As illustrated, the iterative drilling simulation system 50 includes a drilling simulator processor 52, responsive to inputs (54a,54b,54c), for producing an iterative drilling simulation output 56, as further discussed herein. The iterative drilling simulation system 50 is characterized by 2s geology models 58, drilling mechanics models 60, and drilling economics models 62.
The geology models 58 provide rock column characteristic input 54a to the drilling simulator processor 52. The characteristics of the rock column include at least one or more of lithology, rock strength, shale plasticity, log data, and porosity.
. With respect to the characteristics of lithoiogy, rock strength, and shale plasticity, one or more of the respective characteristics may be derived from log data and a a- .

s e,' .
v t PATENT
Docket No.: 27735.7 (SD-00-007) respective lithology model, rack strength modal,-and shale plasticity model.
Log data 64 can include one or more ofi well logs, mud logs, core data, and bit records.
fn a preferred embodiment, the geology models include those disclosed in co-pending U.S, patent application Ser. No. 091649,495, entitled "Method and System s for Predicting the Performance of a Drilling System for a Given Formation"
filed Aug.
8, 2000, which is a continuation-in-part application of Ser. No.09l192,389, filed Nov.
13, 1998, now U.S. Pat. No. 6,109,3fi8, incorporated herein by reference.
The drilling mechanics models 60 provide drilling rig system characteristic input 54b to the drilling simulator processor 52. It is noted that the drilling rig system io characteristics can include characteristics of more than one drilling rig system, wherein characteristics for a-'si.ngte~drilling~rig~systerri are titilized in connection with . . a respective iteration ~of dri>Ling:sirnMatton:~l-n~.a::pref~~rad embodiment; the drilling mechanics models include.-those .~fi-scPos.~d irrco=pen~tin,g U.S: patent application .~ ~ Ser. No. 09/649;495, entitled "Method and System-for Predicting the Performance of is a Drilling System for a Given Formation" filed Aug. 8, 2000, which is a continuation-in-part application of Ser. No.091192,389, filed Nov:.13, 1998, now U.S. Pat.
No.
6;109,368; incorporated herein by reference. - ~ .
The characteristics of the drilling rig system can include one or more of the follovriing: rig inputs 66, drill 'string and bottom hole assembly inputs 68, drill bit ao inputs 70, and hydraulic properties 72. The rig inputs 66 include one or more of the following: operating constraints, rig costs, maximum weight on bit, top drive torque, table drive torque, fop drive minimum RPM (revolutions per minute), table drive minimum RPM, top drive maximum RPM, table drive maximum RPM, maximum GPM (gallons per minute) for pumps, and standpipe maximum PSI (pounds per 2s square inch).
The drill string and bottom hole assembly (BHA) characteristics 68 include one or more of the following: motor RPM (revolutions per minute), turbine RPM, motor torque, turbine torque, rotary steerable system, PSl (pounds per square inch) loss through BHA, PSI string loss, string torque, string drag, and drill string economics. The drill bit inputs 70 include, for example, bit type, bit diameter, bit v '.:'~~v ...
PATENT
Docket No.: 27735.7 (SD-00-007) cuttingvstructure 3D (three dimensional) model, bit work rating, bit wear'rati~g, bit junk slot area, bit TFA (total flow area), and bit pressure drop.
With respect to hydraulic properties 72, the hydraulic properties include one or more of the following: oil, synthetic, water, weight PPG (pounds per gallon), yield s point, plastic viscosity, annular velocity, water loss, lost circulation, ECD (equivalent circulating densities), depth in, depth out, maximum ROP (rate of penetration), and fluid costs.
The iterative drifting simulation system further includes one or more drilling economics model 62. Economic data particular to a given virtual drilling scenario is to input at 74. Responsive to the economic input data, the drilling economics model 64 ~:p~~vrd:~~ ~n-pu.t to the drilling simulator processor 52 at 54c°for:u~e ~uri-ng ariw_iterative :d .:': I r _ .
n i a lion: a. cordin to the articular re uirernecits:for;a.iu. nit r. - e' v :,;; , x .. . . ~. gig.: ~~.~ a.. . , _ c , g p q g a a at .e .
t . dri_ftrng.-sir~tifation application; .as appropriate. . . .. . .
.. , . ,:'P,:, . wFig: 3 is a block diagram view of an~ iterati-ve virtt~al~~dr=ilhng wiw~iu~i~tion is according to an embodiment of the present disclosure. The iterative drilling _ . . simu~atian.:80 includes virtual drilling simulations in response to a request;.for_ .
-.. . ....setvices;-.f~ exarn~le, from ~an-operating compa~ty. The iteratfve~driliin-g simulation ~ ~ -~
involves both drilling mechanics 82 and geology 84. The drilling simulations include drilling mechanics analyses performed for a first drilling system 8S and a second rig 2o system 88 in connection with rock column 90 of geology 84. In this example, the geology data may have been obtained from well log data of a previously drilled well (or wells) for determining the rock column 90. Accordingly, the rock column 90 characterizes the formation to be drilled.
As shown in Fig. 3, equipment data for the Rig A drilling simulation 86 zs includes Rig A energy inputs 92, drilling fluid properties 94, and drill bit inputs 96.
The energy inputs 92 include weight, rotary speed, and hydraulic horsepower.
Similarly, equipment data for the Rig B drilling simulation 88 includes Rig B
energy inputs 98, drilling fluid properties 100, and drill bit inputs 102.
_ The simulation of Fig. 3, includes iterative simulations of the drilling of a well bore in the formation.characterized by rock column 90 with Rigs A and B. The ;._ .
to .~ ;: ~ ,,:
"~;;.::r FATENT
Docket No.: 27735.7 (SD-00-007) simulation produced drilling simulation economics 104 that comprises at least orie economic evaluation factor for each respective iteration of drilling simulation. In one example, the economic evaluation factor may include a minimum number of hours on bottom to drill a desired well bore. The economic evaluation factor may also s include a minimum cost amount for drilling the well bore, wherein the minimum cost amount is a function of both a minimum number of hours on bottom to drill the well bore and a cost per day for a respective drilling rig system. Accordingly, economic results, as generally indicated by reference numerals 106 and 108, respectively, correspond to one or. more evaluation factors of a respective iterative drilling io simulation. .Each iteration of:drilling simulation (86, 88) is a function of the rock column;~Ovarrd t1l~:~charaet~r~istics of. the a respective one of the drilling rig s'ysfierr~s > .. ..: i a c :iIF'. ~I ti: :-;. - r..
c or_di.~g ~o a;td~ _ang;~s~tri~ a . c~r~.~~del:-.?he ~t Unng simulation model inclu~s orie._.g_ :.. _ . .
. y g y :;., . - . ., . , .
fly. mope of a=.rrtetthanical:ef~ici.~dc ~rr~tzdel,. bit vriear model; Male eleanin efificienc . model; .pe~netration..rate =moetel. and drilling economics model, as discussed.fur~l~er= , 15 herein.
Drilli~.Mechanics Analysis . . _ ..t.
To assist in greater understanding of the present embodiment, the following discussion relates to exemplary data requirements for a drilling mechanics analysis ao in connection with the iterative drilling simulation method and system of the present disclosure.
For each interval of well bare being analyzed, the drilling mechanics analysis utilizes information that may include one or more of the following: lithology, rock strength, shale plasticity, drilling mechanics optimization, and illustrations of one or 2s more drill bits for use in drilling the well bore. intervals are specified with a start depth and an end depth.
For an analysis request, well logs are obtained from the operating company or other suitable source. The well fogs may include one or more of the following:
gamma ray, sonic, neutron, density, photoelectric, NMR (nuclear magnetic ~a resonance), spectral gamma ray, and caliper. Additional data provided by the ~_ .

i ';;;;_,';' v v PATENT
Docket No.: 27735.7 (SD-00-007) operating company, or other suitable source, may cr~cl'ude mud logs, bit records, or other pertinent information.
For a given drilling mechanics analysis, bit data for a proposed well is considered. The bit data comprises information for each bit run. Accordingly, bit s data may include one or more of the following: bit size, bit type, proposed depth in, proposed depth out, ROP, and cost. In one example, cost refers to a cost per foot analysis based upon an hourly rig cost: The drilling mechanics analysis further includes, for a given bit run, specification of one or more of the following for a respective bit: a work rating (expressed in units of tan-mi), a sharp bit slope, a worn m bit slope, a friction slope, and bit contact area (initial and final).
The drilling mechanics analysi5~sttll:fu.rfher t~.etu~lw: Qperating constraints for >.:~ ~~ ., :;.; a. g:i~en bit: run. The operating constra~rtts vhclud~ one-.~~rnQre ofvth~ fo.l,lo~nring v maximum torque (expressed i.n units of ft-Ibs) for;top~ drop:; rotary table, drill pipe, motor, .or turbine; minimum .RPM .(revolutions .per. rni~ndte)»fflraop drive, rotary table, is motor, or turbine; maximum RPM for top drive, rotary table, motor, or turbine;
. _ maximum WOB (weight on bit) (expressed in units of kl.bs);.and .maximum ROP (rate . . of penetration) (expressed iri ft~hr). ~, .
Further data for each bit run can include drill string torque losses and/or drill string data. Drill string data includes one or more of the following: drill pipe (OD x 2o Wt), HWDP (OD x length), drill collars (OD x length), and motor (OD x type).
The drilling mechanics analysis may also include the use of measured operating parameters for an offset well, along with a request for iterative drilling simulation services. The measured operating parameters of the offset welt may be provided by an operating company or other suitable source. Offset drilling data 2s includes ROP, WOB; and RPM -total. The offset drilling data may optionally include one or more of torque, motor RPM, surface RPM. For the offset drilling data, the operating parameters are specified for a start depth and end depth each respective section of well bore.
The simulator of the present disclosure performs a drilling mechanics analysis that includes an analysis of rock mechanics for a given formation. The analysis of ",,. . , ,.;..':-w ~.
v PATENT
Docket No_: 27735.7 (SD-OU-007) rock me'ehanies provides in'Formation regarding one or more of lithology, pora~sity; °' confined rock strength, unconfined rock strength, and shale plasticity. The simulator performs the rock mechanics analysis based upon one or more of the following:
well logs, mud logs, bit record(s), and recommended bit(s).
s Well Logs. At a minimum, a gamma ray log and at least one (1 ) additional log is needed. The additional log includes at least one or more of the following logs:
nuclear magnetic resonance (NMR), photoelectric (Pe) with neutron density;
neutron density, and sonic. The gamma ray is typically run in combination with the Cog suites listed above. In general, a more accurate lithology analysia can be obtained when to mare of the above.logs are provided for performing the analysis. :
. :Additional opfionat information would be useful for the l.itho:logyanaly~i ~_ ~f ~:~, .. -:
f~,a:a ~aJ.~~:I.~:L=~';~~ add;t~onal.o tional information includes ogre-.or-r~:r~: - , ..
:- ..:.r. _. ~ . ._ . , . .. .". ... f.. l... . _ p . . ~ ~f...stx~i,Y ..r: ~
. . :... ~ ~ =.: , ,; .;.., am a.. 1.o : .cali a l ' co g.. r y g, p r og, re porosity, and rock strength: Aecordirtg~aa ovrr,Eb , ~.. ,.., ;embodiment;..the.shafe.plasticity model utilizes data from t.
E::spectral~g-a~rnmaar~ay >. . , is log. The caliper log data is used to evaluate data quality. n addition, the core porosity and/or;ro,ck;strength is used to calibrate the logs.
:... ~. .Mud Locts: ..M.ud logs provide a valuable "reality check" for the lithology analysis. In particular, the mud logs assist in identifying any non-shales contained within the given geology.
2o Bit Records. Bit records provide a valuable "reality check" for the rock strength analysis, especially if the sonic log is the only available porosity log.
Proposed Bits. Information regarding proposed bits, such as photos and specifications, can be included in a recommendation package, as further discussed herein. If a depth interval is established for a proposed bit, the depth interval can be 2s displayed or shown graphically in the recommendation package, also.
Drillinct Mechanics. In one embodiment, the drilling mechanics analysis provides an output in the form of a "driiler's road map." In particular, the drilling mechanics analysis provides predicted performance of a given bit in the drilling of a well bore in a given formation. Drilling mechanics information includes one or more of the following: work done. by a proposed bit in drilling through rock of known s-.

. ;h;~
::,' ,;,.;,.
a v y PATENT
Docket No.: 27735.7 (SD-00-007) ~.
compressive strength; °bit wear conditid-ri; rriechanical efficiency of the bit as a function of rock strength and wear condition; cutting torque and total torque produced by the bit; operating power level as a function of the bit and an corresponding drifting rig; constraint analysis indicating which operating constraint s are in effect; optimal operating parameters, including WOB and RPM;
predicted ROP, including instantaneous and average; and predicted cost per foot.
The simulator method and system o~the present disclosure perform drilling mechanics analysis with the use of one or more of the following types of information:
bit data, rig operating constraints, directional survey data and proposed directional io well plan, torque and drag analysis; and measured operating parameters, for perForming a history.match;~ asap~~oprlate: .v. ..
With respect=to a.-given.=bl#Y, a~"~~t .asser~biy number can .be used to identify.the specific bit design: . Upoh°.esti~t3lashr~ien~tvof:a 3--O geometry for a given bit; a torque-. T
.. - . V1IOB signature can be generate~dwusi~g an-appropriate 3-D bit model.
Accordingly, is predicted performance reflects the specific bit design.
Operating Constraints. Operating constraints that define a safe operating -- ~ ~ window--for:the-:driller iriclude one ~or rr~ore of flue following:
maximumsafe operating torque (in units of ft*Ib); maximum safe operating WOB; maximum safe operating RPM; minimum safe operating RPM; and maximum allowable ROP. According to 2o the embodiments of the present disclosure, the above operating constraints apply at the bit. Accordingly, the drilling mechanics analysis facilitates an ability to handle a wide variety of drilling situations. The operating constraints are discussed further herein below.
Toraue constraint. For a given bit run, the above limits are constraints, 2s except for torque which is variable. For example, suppose the top drive is able to generate a (theoretical) maximum of 10,000 ft*Ib of torque according to available information, such as an engineering manual from the equipment manufacturer.
However, the toolpusher may indicate that the maximum safe operating torque is 7,000 ft*Ib based upon the toolpusher's experience with the rig equipment.
Suppose, also, that the proposed bit run is from 5,000 to 10,000 ft measured depth s.

,.
. ,.,- w. ,..
PATENT
Docket No.: 27735.7 (SD-00-007) w -' ~(MD~, where measured depth fs along the well path: A
standard~~torqc~e'°and drag analysis might indicate that 1,000 ft*1b of torque is lost because of friction between the drill string and the bore hole wall at the beginning of the bit run and that 2,000 ft*fb is lost at~the end of the bit run. This means that the actual torque transmission s to the bit is 6,000 ft*Ib maximum at the beginning of the bit run, gradually decreasing to x,000 ft*Ib at the end of the run. If a mud motor is used, then the maximum torque output of the motor would also be needed.-Accordingly, when appropriate, the torque capabilities of the drilling rig are included in the drilling rig characteristics for use in a given drilling simulation.
lo Toraue and Drag_Analysis. The present embodiments utilize a torque and - =.f s,-Edr:~ga:r~afysis for converting surface torque lirnfts.ta~~aqu~va'lei~fi~i.ianits at:=the bit: Such _. .. _. =::w.~~~t~rqt.-ari~:drag.anafysis is generally availablefrog-a~-drtLli~tg:~i~girt~if~.tp~e ~
v~ . ~=.operaffr~,~~company, since a torque and drag-analysis is typ>~~~IlyeparY ~f ~.~ve~lt plan:
-. . ~ . ~,~Alterna.tiwely; a separate torque and drag analysis may be ca~ndvcfed;vhowever; such is an analysis requires a complete description of the drill string and bottom hole . assembly. In addition, a reasonable estimate can be made if the drill stag torque . : losses: at total depth (TD), are known. A.toolpusher often has fnformatiori vam prior measurements of on-bottom and off-bottom torque. Furthermore, this information is sometimes available on morning reports at various depths or when TD is reached.
2o WOB Constraint. According to one embodiment of the present disclosure, for a given simulation recommendation; a maximum. safe operating WOB depends on the weight of the drill string below the neutral point, and the hook toad capacity of the rig, in addition, the maximum safe operating WOB also depends on expected rock strength and bit selection. In conjunction with determining a maximum safe operating 2s WOB, if is advisable to examine the measured WOB from an offset well to get a feel for the historical maximum actually used, as opposed to a theoretical value.
The maximum safe operating WOB may also include a safety factor.
RPM Constraints. According to one embodiment of the present disclosure, for a given simulation recommendation, the safe operating window for RPM depends on the specific machinery: rotary table, fop drive, positive displacement motor, or Is PATENT
Docket No.: 27735.7 (SD-00-007) turbine: Sometimesvhe"safe--operating window for RPM is a combination oispecific ~ ~ ~ -machinery: for example, drilling with a motor in rotary mode, the motor RPM
must be added to the surface RPM. In conjunction with determining a safe operating window for RPM, it is advisable to examine the measured RPM from an offset well to get a s feel for the historical maximum and minimum RPM actually used, as opposed to the theoretical values alone. The safe operating window .for RPM may also include a safety factor.
ROP Constraint. The ROP constraint reflects the limitations of the drilling fluid system as well as related geologic considerations. For example, an analysis of the 1o hydraulics system may reveal that the rig pumps are capable of cleaning hole properly>aa :long as:tlle ~p~n~etration. rate does not exceed 300 ftThr:
Mvowever; ~a . ..~ .. .
v l: : :.t t . , >. .
°g~;.olagac.~tudy~:r~~y:re :ca .~h~t:if he penetration ra a exceeds ~00-ft~:hrT ttr~ryrwrra~c , ::.~~.
mud vsfieight will-:~xceed:~the fracfiu~e gradient at.the casing shoe.
Accordingl~-ahe..
RO~~~conatr~aint would -be =set towthe lower of -these two limits. A
tool~pusher-world°w w ~ ~ ' ~ ~ -is generally be well aware of this constraint.
Directional Data .(optional). According tct one embodiment of the present . ..
-_ ---~diselosure; the iterative-drilling=,simr~Eation ri~ethod and system perf~rm-a drilling mechanics analysis based upon well fogs taken from a nearby offset well for a given formation. However; a drilling mechanics analysis is needed along the proposed well 2o path of the next well to be drilled. Accordingly, this can be accomplished if a directional survey for the offset well, and a directional well plan for the proposed well, are available.
Measured Operating Parameters. According to one embodiment of the present disclosure, measured operating parameters frog an offset well, while 2s optional, are very useful in determining what the actual values are for the various operating constraints. The measured operating parameters include one or more of the following: weight-on=bit, rotary RPM, penetration rate, and torque-on-bit (ft*Ib).
Even if torque is unavailable, as is often the case, a history match can still be made with the other operating parameters.
~_ a ° ti.;; ' PATENT
Docket No.: 27735.7 (SD-00-007) Rig operating constraints provided by a rid operator should be reasonably close to actual field performance. Measured operating parameters from an offset well enable double-checking and confirming that the constraints are correct.
Measured operating parameters are also used to history-match the particular s drill bit to the specific geology and rig. This can significantly increase confidence in the predicted drilling performance results, and the value of the analysis to the driller.
Accordingly, measured operating parameters are helpful.
Turning now to Fig. 4, an exemplary output 110 of a sample iterative virtual drilling simulation for a first geology formation is illustrated. In the iterative virtual Zo drilling simulation output 110 of F.ig.;~., certain rig. data and energy input levels are _ , specified for Rig A (112), Rig-:8=~t1.1.~~:).-arid-;:R~g ~ ~(~~:~y)'as-indicated by reference !frB -' ' , . .,X:,' ; ..
nt~r~erals ,12a 114a and: r .1... a- v:er~tiI _e:.s~ha~!n ,the ri. :vata :and ever .. 7 , , 1 .~ ~, ~'p . , y :.A . , . , g gy .
input levels include cost per day, ma~imurrirwE~.g~Eato~ .bit; top rtrive and table torque;
,. .'. ... minimum RPM. for the top drive a~r~d ~tabl.e motor;-~t~~r~'aximu.m RRM for the top drive is and table motor, and a maximum GPM for pumps. The characteristics of a drilling rig system can also include one or more :of the fQ)lovnin.g.: ,bit specification, down hole ..: , .. .. motor;-top drive aystem,-rotary table, mud system; mud ~purnp, h.ydrau(ics; and operating parameters. In addition, the operating parameters may include weight-on-bit (WOB), rotary RPM (revolutions per minute), cost per day, rate of penetration 2a (ROP), torque, and pump flow rate.
According to one embodiment of the present disclosure, the well bore to be drilled includes a plurality of sections 120 of well bore, as illustrated in Fig. 4. In this embodiment, an economic evaluation factor includes a minimum number of hours on bottom to drill a respective section of well bore in a geology formation characterized zs by a given rock column. That is, each section may be characterized by a minimum number of hours (122A~, 122A2; 122A3) on bottom to drill a respective section of well bore (l2Op~, 12OA2, 120A3). in addition, the economic evaluation factor may include a cumulative minimum number of hours, indicated by reference numeral 122 in Fig.
4, on bottom to drill the respective sections of well bore. The cumulative number of minimum hours on bottom to drill the respective sections of well bore in the first ;_ .
t~

v a PATENT
Docket No.: 27735.7 (SD-00-007) geology formation with Rig A amounted to 1082 Hours, as indicated by reference numeral 122A.
The iterative virtual drilling simulation output 110 further includes an economic minimum cost 124 for each drilling rig system in the drilling of the well bore in the s first geology formation. The mini.rnum cost 124 is a function of the cost per day of a respective drilling rig system (converted into cost per hour, as appropriate) multiplied by a corresponding cumulative minimuim number of hours to drill the well bore for a respective iterative simulation. For example, using the iterative drilling simulation method of the present disclosure, the total minimum number of hours on bottom to ,lo drill the respective sections of well bore with Rig A amounted to 1082 hours. The -~ ~ .. . ~'~rti~ac~c~.rr-.list:af Rig A in the drilling of the well bore:atnoui~ted~to=$5:64.'~tillii~~.:. . .
. : ._..
. ~ ~~,- ..~:olla~s ;-~~:0~2-Nours ~ 24 HoursfDa x-125 000 Da:=
..~:5:64:;~111~- >as~~ridtteti~: . , ~( ( ) ( Y)) ~ (~ Y) ~.:$ >, b. e,f r..
~' ~.: ri°~~ nurrieral 124A: Sifnilarl ' th ' ' a ... y. ...,, .~ y, a ~t rative driifing~sirndl~tion outp~t~1~10~ .
. , ,.,, t:. ..-:~~~~d~~:.a,:.mini.mum num-ber ofi hours on bottom for respective -~~ctic~rrs~of siveil~ bore;
is the cumulative total minimum number of hours on bottom, and a cost for each of the other drilling. rig systems Rig B 114 and Rig C 116, respectively. . ..
A~s discr~ssed herein; according to one embodiment of the iterative simulation method of the present disclosure, the method generates a simulated well bore drilling performance output for a given iteration of simulated drilling of the well bore.
2o As illustrated in the example output 110 of Fig. 4, the simulated well bore drilling performance output facilitates an enhanced economic decision making with respect to an actual drilling in a field containing formations analogous to the rock column with a respective drilling rig system. For example, from the output 110 of Fig. 4; an operating company can make an enhanced economic decision in the selection of a 2s drilling rig system. From an economic standpoint, drilling rig system Rig A

provides the best selection over drilling rig system Rig B 114 and Rig C 116 for the drilling of a well bore in a given formation analogous to the rock column.
As illustrated in the example of Fig. 4, the simulated well bore drilling performance output 110 includes one or more of (a) identification of drilling rig system characteristics, the characteristics including at least a drilling rig system la s PATENT
Docket No.: 27735.7 (SD-00-007) economic factor, fib) a representation,.of at least one section of well bore in the rock w column, (c) a minimum duration of time needed on bottom to drill a respective at feast one section of well bore, (d) a cumulative duration of time needed to drill all sections of well bore, and (e) a minimum cost amount determined as a function of s the cumulative duration of time and the drilling rig system economic factor.
The simulated well bore drilling perFormance output may also include a minimum duration of time needed on bottom to drill the~well bore, without indicating the same for each section of the well bore.
Referring now to Fig. 5, an exemplary output 130 of a sample iterative virtual to drilling simulation..for a second geology formation is illustrated. The iterative virtual drilling simu.Iatiorr output ~1~30°of F~gw~;~ similar to that of Fig. 4 with respect to-rig.
data and ever ~,i~: :~ti~ev~ls.' e~ ~e f~rx~-<.R; - A 112 Ri B 1.14 and Ri E
fi 1~6 . ~ ;~:-::
gy a ~ . ,., If 'd , . . g . . ( ), g ( ) g ( ), as indicated: by reference :~tun~ierels- ~#:12a,:.~~ 14a, and 116x;
res°peetively. However;
. .,. . the iterative simulated.~drillirag=wit~a~the.drt~ling. rig systems.is with ~-espectto a :: . .. .: ._..... .. ..>::.:
15 different geology formation. While the rig data and energy input levels of Fig. 5 are similar to those specified in Fig. 4,.-the ararious..economic evaluation factors have . . .. , changed-as-a-result of the simulated drillir~g.in.~.different-rock column.
As illustrated in Fig. 5, the well bore to be drilled includes a plurality of sections 120 of well bore. In this embodiment, the economic evaluation factor 2o includes a minimum number of hours on bottom to drill a respective section of ~rvell bore in a geology formation characterized by the given rock column. Each section is characterized by a minimum number of hours on bottom to drill a respective section of well bore. For example, the minimum number of hours on bottom to drill section two of the well bore with Rig A, Rig B, and Rig C, amounted to 886 Hours, 798 2s Hours, and 605 Hours, respectively. In addition, the economic evaluation factor includes a cumulative total minimum number of hours (indicated by reference numeral 122) on bottom to drill the respective sections of well bore. In Fig.
5, the cumulative total number of minimum hours on bottom to drill respective sections of well bore in the second geology formation with Rig A, Rig B, and Rig C
amounted to 1748 Hours, 1488 Hours, and 1139 Hours, respectively. Accordingly, the exemplary ~~;~t:_;_~_ PATENT
Docket No.: 27735.7 (SD-00-007) output 130 of Fig. 5 illustrates drilling rig system Rig C a~~p~o~rrcing the best economic performance over the drilling rig systems Rig A and Rig B in the simulated drilling of a well bore in the second geology formation.
According to another embodiment, the method of iterative drilling simulation s includes generating a recommendation package 36 (Fig. 1 ) of drilling system characteristics for use in an actual drilling of a well bore in the formation as a function of economic evaluation factors. Tfie recommendation package provides iterative simulation output content in one or more formats, including, for example, hardcopy, CD ROM, computer readable media, electronic fife, holographic lo. projection, compressed time animation, or any combination thereof. For example, _~~ ~.~,.. . ~ah:e recommendation package may include.a compute~rvre~d'a~rhe°.triedium, as ~_~, tnd.icated by reference numeral:37 in :F~g .1.. ~ ...:~ .~a, _ ~ < , .. -ltVith respect'to compressed-time ariarnatior<;
~th~e~'n~~vt~nm~~td°ation pi~ckage -. :~~ ..» , .. . <:. facilitates-visualization of the simulated :drilling-of~the~wefl~~ore< ~ a- eompressed-~5 time frame. For example, if the actual time to drill the well bore were thirty (30) days, .... .- . then with the compressed time animation, the simulated. d.riiling.
for the entire well .. _ -. .--=. ~auld~'be -visually viewed over-some-fractionof thafi tine by-=a viewe~r-using~ -compressed time animation. Output embodying compressed time animation would give the operator the opportunity to quickly view the wellbore drilling system 2o simulation presented through time. Each iteration can include compressed or collapsed time animation of the drilling process for that particular rig, set of system components, and rock column. The operator can review the output of a simulation in a few minutes that represents many hours of actual drilling time on bottom.
The operator can also see the changes in the progress of the drilling brought about by 2s changes in system components.
Accordingly, the compressed time animation could be highly beneficial to an operating company, in making a best economic decision for the drilling of a well bore in a given formation. According to one embodiment, the compressed time animation utilizes the geology and mechanics models, as described herein, in the iterative drilling simulations for producing a respective economic evaluation output.

PATENT
Docket No.: 27735.7 (SD-00-007) Compressedrime animation techniques are known in the art, and thus only briefly discussed herein.
In one embodiment, the recommendation package includes at least one economic evaluation factor and at least one recommendation of drilling rig system s characteristics for use in an actual drilling of the at least one well bore in the formation as a function of the economic evaluation factors: The economic evaluation factor can be derived by the method of: (a) obtaining characteristics of a rock column in the formation to be drilled, (b) specifying characteristics of at least one drilling rig system, and (c) iteratively simulating the drilling of the well bore in the to formation and producing an economic evaluation factor for each iteration of drilling . ~:~i~.n~~+lation:~ -O~fi;~~r~Qnorn'tc evaluation factors are also possibie~, as discussed i. r :rei ~::add~iti . n ;.each it .r tion ~of drillin simulation. rs~:a: fu , ~ti of,.the rock r.
c ~ i' mnetowbe : vr'l:le ~anv . th.e characteristics of the at least one dri~Vlin ri. a;~ stem -~~
p.~. . . .. .~ ~ ,, d." d g ,~ y .. . , . according to-a..dri.ll.in.g s.i.muiation:model, as discussed herein:
. .r x ,. .. ., " ~ ~ .. .
is Turning now to Fig. 6, Fig. 6 illustrates a flow diagram view of an iterative virtual drilling simulation. method 150 with an iterative virtual drilling simulator. 21 .~ .. - (Fig,1)~according,to o~e~~embodiment of..the present disclosure. In step 152,~iterative.. . --virtual drifting simulator receives a request for a drilling recommendation in connection with facilitating enhanced economic decision making, further with respect 2o lo drilling of a well bore in a given formation characterized by a particular rock column. in step 154, The simulator obtains geology characteristics of the formation to be drilled, the geology characteristics including those as discussed earlier herein.
in step 156, the simulator obtains drilling equipment characteristics of a drilling system, the drilling equipment characteristics including characteristics as discussed 25 earlier herein.
In step 158, the simulator performs an iterative drilling simulation of the drilling of the well bore in the formation. The simulation of step 158 includes the producing of an economic evaluation factor for the respective iterative simulation. In step 160, the simulator queries whether or not the simulation is optimized, according to a prescribed optimization process and criteria for a given simulated drilling s :;'~,.i;;,'~
PATENT
Docket No.: 27735.7 (SD-00-007) application. if not optimized, the process proceeds to step 162. In step 162, the w simulator modifies one or more drilling mechanics parameters) according to the prescribed optimization process and criteria. Upon a modification of the one or more drilling mechanics parameters in step 162, the process returns to step 158 for s performing an iterative drifting simulation as a function of the modified driifing mechanics parameters and the geology characteristics. The process continues as discussed herein with respect to step 158.
If, in step 160, the simulation is determined to be optimized, then the process proceeds to step 164. In step 164, the simulator generates a preliminary to recommendation as a function of the optimized drilling simulation output for the respective iteration. : tn step1:66the .sirnu;.lator.gueries whether or not there are additional.e ui merit cons~det-~~tion :, vlf ditca: ;e .ui me : t. onsi e: ti . q p .s: ad... :_na( q p n .c d ra ons. ezcist, . .., th~n~ the process. proceeds to atEy: -1~.68.::~.ay:~~ep' :~ 68. the si~tt~lator obtains the ' . _ ... :additional drilling equipment. characteristics The process then-returns to step 158 - . ....
is for performing an iterative drilling simulation as a function of the additional drilling system equipment characteristics. The process continues as discussed herein with .. ..respect to-step 158: . . .. . . _ _ . .
if, in step 166, there are no additional equipment considerations for the particular iterative drilling simulation process, then the simulator prepares an overall 2o recommendation package at step 170, as discussed further herein. The process then ends at step 172.
Turning now to Fig. 7, Fig. 7 illustrates a block diagram view of an iterative drilling simulator system 180 for performing iterative drilling simulations according to another embodiment of the present disclosure. The iterative drilling simulation 2s system provides for enhanced economic decision making, as discussed herein.
The iterative drilling simulation system 180 includes a simulator 182. The simulator 182 obtains characteristics of a rock column to be drilled via input 184. The characteristics of the rock~column include one or more of lithology, rock strength, and shale plasticity. Any one of the rock column characteristics can be derived from PATENT
Docket No.: 27735.7 (SD-00-007) -~ ~ log-~f~t~a 186 and a respective lithology model, rock 5trengtti model;
a~fd~w~hale plasticity model, generally indicated by reference numeral 188.
Referring still to Fig. 7, the drilling simulator 18?. obtains characteristics of a drilling rig system via drilling rig system input, generally indicated by reference s numeral 190. The characteristics of the drilling rig system include one~or more characteristics of rig inputs 192, drill string and bottom hole assembly inputs 194, drill bit inputs 196, and hydraulic properties 198. The drilling rig system characteristics may also include characteristics of more than one drilling rig system.
The rig inputs 192 may include one or more inputs of operating constraints, io :, rig costs, maximum weight on bit, top drive torque, table drive torque, top drive ;:. .. _ .~~ , t~+~>~~tr~t<~PM, table drive minimum RPM, top drive:~n~xirr~urn F~.11~~~le:~drive ~ ~r;~_; ~~a:._, ~c~r,~~~PM, pumps-rriaxicrmurn GPM; and standpipyr~a~~t~rart~::P~~c°~:~l~~d.~riC(-...
. ;~,st~~g ~nefbottorn hole assembly (BHA) ci~aracteristaes'vv=r~~~ ~ii~u~-~_ .
.... , -. .. char-acteristics of motor RPM; turbine RPM, rn. otor.
torque;=tur.~ine ~orq~e;vrota~-is steerable system, PSI loss through BHA, PSI string loss, string torque, string drag, and drill string economics. ..
. .,. _ -. ~:~:~~~ drill. bit inputs 1-96 may include orEe or more inputs of bit-type, bit--=
diameter, bit cutting structure 3D model, bit work rating, bit wear rating, bit junk slot area, bit TFA (total flow area), and bit pressure drop.
2o The hydraulic properties 198 may include one or more properties of oil, synthetic, water, weight PPG (pounds per gallon), yield point, plastic viscosity, annular velocity, water loss, lost circulation, ECD (equivalent circulating densities), depth in, depth out, maximum ROP, and fluid costs.
According to one embodiment, the simulator 182 (Fig. 7) includes a computer 2s system 21 (Fig. 1 ) for performing the various functions as described herein. The various functions as discussed herein can be programmed using programming techniques well known in the art. The inputs can include any suitable input, whether analog, digital, optical, sonic, or other form of input, via an input device, such as a keyboard, interface card, or other suitable input device, for communicating the rock ~o column and drilling rig system characteristics to simulator 182.
-.

PATENT
Docket No.: 2773.7 (SD-00-007) In response to o~btairiit~g:draracteristics of a rock column in a formation Y'o be '' ' ' "
drilled and characteristics of at least one drilling rig system, the simulator iteratively simulates the drilling of a well bore in the formation and produces an economic evaluation factor for each iteration of drilling simulation. Each iteration of s drilling simulation is a function of the rock column and the characteristics of the at least one drilling rig system according to a drilling simulation model:
According to one embodiment, the drilling simulation model includes one or more models of mechanical efficiency, bit wear, hole cleaning efficiency, and drilling economics, generally indicated by reference numeral 200, as discussed further herein. The drilling simulation model may also include a penetration rate model 202, as discussed.f~urx~er.herefinvalso :-: ; . -, . . ...
,: 9 ~ f? p . :,. .: :.- .
...::.>/~~. i~~ttted.vin. Fi :: ~ ~tf ~.n. coca# ut of the enetration rate model 2Q0 ~is:eot' ~' 0 tlft'lf .E~d th ';S~L ;. ~~ " ~. ,.-~ ... ,~: ., p ~ , . ~ rrrul o ex ou es~:ariat~ier iterative simulation; via 204.- Tre iferatNe ' simu-Iation would include arrnodifrcation of one-or more drilling rig system w w Is characteristics, prior to running a corresponding iteration, as may be appropriate for a given iterative drilling, simulation. plan. On the other hand, if an output of the perietr~tion rate model 204 were-sattsfaefory aceorcting to a given optimization criteria, then simulator 182 provides the optimum output at 206. Accordingly, simulator,182 would be finished with the given iterative drilling simulation.exercise.
2o In addition to iterativefy simulating the drilling of a well bore in the formation, the simulator 182 produces an economic evaluation factor far each iteration of drilling simulation. Each iteration of drilling simulation is a function of the rock column and the characteristics of the at least one drilling rig system according to a drilling simulation model.
2s The simulator 182 further generates a recommendation package of drilling rig system characteristics as a function of economic evaluation factors. The recommendation package information is presented in one or more of the following formats of hardcopy, CD ROM, computer readable media, electronic file, holographic projection, compressed time animation, or any combination thereof.
Accordingly, the recommendation package includes information suitable for use in deciding upon PATENT
Doclket No.: 2773~.'I (SD-00-007) w - . - equipment and process selections in an actual drilling i~f'a°~iveli bore in the formation, as a function of the economic evaluation factors.
Fig. 8 is a flow diagram view of an iterative drilling simulation method 210 according to another embodiment, In step 212, the iterative drilling simulation s method obtains geology characteristics) of a desired formation. In step 214, the process includes obtaining parameters of desired drilling equipment. In step 216, the method simulates drilling of a vi~ell bore in the geology as a function of the geology and the drilling equipment parameters according to a prescribed drilling simulation model. In step 218, the method generates an economic characteristic as to a function of the drilling simulation, the economic characteristic as further discussed .,: : :.:., herein. _ _.~ ", ,_ , . ..: ~~ ~:.~;.
Ir~.step-220; the process~q~eri~S,~u-hetkt~r~ot.n'ot~~adctifiio~aJ .iterations of .. . . . . .Sirnuvation are to be carried out_~:.tf°.~tidFtcc~ri~t iteratto~s.=~o~~ si:xnrlations aye to be' ..... . . . . condu-cted~then the process~proceeds-to-step 2<22 ~b ~stepy222;
the process obtains is parameters of additional desired drilling equipment. fn response to obtaining the ._.. ,. . parameters of additional desired drilling equipment,.the process returns to step 216 ,.. _. . ., ..and ~the~simulating of drilling the geology- as a function of the-geology and drilling equipment characteristics.
!n step 220, if no additional simulations are to be conducted, then the process 2o proceeds to step 224. In step 224, the process generates a report of the iterative drilling simulations, the report including suitable information for facilitating enhanced economic decision making in conjunction with drilling of a well bore in a given formation with a given drilling rig system, as discussed further herein. The process then ends at 226.
2s The embodiments of the present disclosure further include a method for preparing a recommendation package for enhanced economic decision making in connection with drilling at least one well bore in a given formation. ~ The method comprises obtaining geology characteristics of the formation to be drilled.
The geology characteristics include at feast a rock column. The method further includes specifying equipment characteristics of at least one drilling system. The equipment .,«
~ ;2~..
~;;i ~;,v;;
PATENT
Docket No.: 27735.7 (SD-00-007) characteristics.,.include drilling mechanics parameters. Lastly, the method'incl'~des~
iteratively simulating the drilling of the well bore in the formation, producing an economic evaluation factor for each respective iterative drilling simulation and modifying drilling mechanics parameters until a desired optimization of the iterative s drilling simulation is achieved.
Each iterative drilling simulation is a function of the geology and drilling system equipment characteristics according to a drilling simulation mode(. The method generates a preliminary recommendation in response to the iterative drilling simulation achieving the desired optimization. Still further; the method includes, 1,o repeating, .for.any additional equipment considerations, the steps of specifying :eq~ripm~nt characteristics of at least one drilling system,..iterativeJy :simulatong,:,tt~e:~~
~-:d~ l , n l : , , ~, 3~ ",,..riling, of the.:we~>~,bo.re, a d .generat ng a preliminary recom:rnendatJOn::fdr: an~~ ,:..,.~.. .
.: ~add.itianat ~.q:uiprn~ri~..considetations: - ~ _,~ ~ : :~4~, . . . ..- .
.~ . . . ,.,q.n e~,e:~aLl :reGOmmendation is then generated as a function of ahe ~preiimiriary ~ ~
is recommendations of iterative drilling simulations. For example, the recommendation package may be. generated from the iterative drilling simulations as a..function of- :...
- econamic.~ualuation.fa-ctors of~select-ones of respective iterative drilfing~simulations-.--=
In one embodiment; the overall recommendation comprises one or more of hardcopy, CD ROM; computer readable media, electronic file, holographic 2o projection, compressed time animation, or any combination thereof.
According to another embodiment, computer system 21 (Fig. 1 ) is programmed for performing functions as described herein, using programming techniques known in the art. In one embodiment, a computer program product includes a computer readable medium 37 (Fig. 1_) having a computer program stored 2s thereon. The computer program for execution by the computer enables iterative drilling simulation for enhanced economic decision making. The computer program includes instructions processable by the computer system for causing the computer system to obtain characteristics of a rock column in a formation to be drilled, obtain characteristics of at least one drilling rig system, and iterativeiy simulate the drilling of a well bore in the formation. The computer program is further for producing an PATENT
Docket No.: 27735.7 (SD-00-007) economic evaluation'factor for ea~eh-iteration of drilling simulation, wherein each iteration of drilling simulation is a function of the rock column and the characteristics of the~at least one drilling rig system according to a drilling simulation model.
The computer program is further processable by the computer system for s causing the computer system to generate a simulated well bore drilling performance output for a given iteration of simulated drilling of the well bore, the simulated well bore drilling performance output suitable for facilitating an enhanced economic decision making with respect to Tan actual drilling with a respective drilling rig system in a field containing formations analogous to the rock column. The simulated well to bore drilling performance output..includes at least one of the following selected from the groups consisting, .o..f. (a) ider~tafi~a~~n. of drilling rig system characteristics, the characteristics: nclu~lira ~-at least ~ dr~.llln ,tai, a. .stem econpmic factor,. b. a , :~.: . : : ~ .: ~ y ~ ) re resentatio.rt of fhe well bore;'t ttfe-:rock:;column . c ,.a.minirnum duration.of time .
.., p . .,. . ~ : ., : . ....... . , ( ) >:
,. , . . , needed.on botto.m.tc .dri.l,l the;.vuell t~ora, art.d .Ed.) a .min~mu.m cost:amount determined . .
Is as a function of the duration of time and the drilling rig system economic factor.
The computer program is still further processable by the computer system for _ . . . . _ causi.ng.the_~omputer system.to generate.:asimulated well bore.
drilling performance-output for at feast one iteration of the simulated drilling of the well bore.
In one example, the simulated well bore drilling performance output facilitates enhanced 2o economic decision making with respect to actual drilling in a field containing formations analogous to the rock column with a respective drilling rig system corresponding to that of the at least one iteration of the simulated well bore drilling performance.
According to another embodiment, the simulator iteratively simulates the 2s drilling of the well bore in the formation, produces an economic evaluation factor for each respective iterative drilling simulation, and modifies drilling mechanics parameters until a desired optimization of the iterative drilling simulation is achieved.
Each iterative drilling simulation is a function of the geology and drilling system equipment characteristics according to a drilling simulation model. The simulator further generates a preliminary recommendation~in'response to the iterative drilling ~,. .

t',~;':;
PATENT
Docket No.: 27735.7 (SD-00-007) . - ~, .simulation achieving the desired optimization. ~~-The sirnulat~r operates to repeat the specifying of equipment characteristics~of at least one drifting system, iteratively simulating the drilling of the well bore, and generating a preliminary recommendation for any additional equipment considerations. Lastly, the simulator generates an s overall recommendation as a function of the preliminary recommendations of iterative drilling simulations.
According to another embodimerit, a system for preparing a recommendation package for enhanced economic decision making in connection with drilling at least one welt bore in a given formation comprises a first input, a second input, and a to simulator. The first input is for oi~taining geology characteristics of the formation to ... :~-; ,. be ~.rilled,.wherein the geology characteristics:.in.clude:at:le~~t ~:=,rocfC.column. The ~;~cc~nd input is for s ee'. i.n a u~ menu ~hara:~ensvic;~ ~f ~:t. Jest ore-d.ril(in p.~Y 9 q p . 9 .-~_ . ~~rstem, ,wherein the equipment characteristics i~aclud~:vdr~~ira~:
x~~c(~~nic~s v: .
._... ..-_:~=:..;.-~..:,v~~.-.:;p.~C~meters. ..Lastly, the simulator. is for_.sir~ulating the.d.ri.tfing~.o~,tl~ewell.bore in the.
is formation, wherein fihe drilling simulation is a function of the geology and drilling system equipment characteristics according to a drilling simulation model.
~:. -.. . v ~ :' ._r The simulatar.generates an ecox~.omic evalu.ation.factor as a.~funEtionvof the drilling simulation. In addition, the simulator operates to iteratively repeat, for any additional equipment considerations, the specifying of equipment characteristics, 2o simulating the drilling of the well bore, and generating the economic evaluation factor. The simulator further generates a recommendation package of the iterative drilling simulations as a function of economic evaluation factors of select ones of respective iterative drilling simulations, as discussed.
According to another embodiment, a simulator for enhanced economic 2s decision making in connection with drilling at least one well bore in a given formation comprises a first processor, a second processor, and a third processor. In one embodiment, the first, second, and third processors may include a single processor for perForming the functionality's as discussed herein.
The first processor, responsive to geology characteristics of the formation to be drilled and specified equipment characteristics of at feast one drilling system, ' t .
.. . ....
PATENT
Docket No.: 27735.7 (SD-00-007) iteratively simulatesv~e-drifl~ing of a welt bore in a formation. The geology '~ °' characteristics include at (east a rock column and the equipment characteristics include the drilling mechanics parameters. The first processor further produces an economic evaluation factor for each respective iterative drilling simulation.
The first s processor also modifies drilling mechanics parameters until a desired optimization of the iterative drifting simulation is achieved. Each iterative drilling simulation is a function of the geology and dritiing~-system equipment characteristics according to a prescribed drilling simulation model.
The second processor, responsive to the achievement of the desired io optimization by the first processor, generates a preliminary recommendation. The fi~5f~avct-s~con~i -pro~essorsrfutth~r operate in response to the geology characteristic t ' I t , -:a v d. n .: d~d~itional- . ecifiecl<~~:~ :i~~ ~:en characteristics of the at eas o.~ae dril'ti.i~ . . .
n. a , y ;~ ..... . . . , . sp. . .. q p . g '<: ,: ;
.I.;.. ~e: y >_ s~i~'e~-:f~~-:.ite.ratweLy-simu#:atng.~tt~v drtf tng.of the-wel! bore and gen rata g a::.":. ~. , pre.tim.inary:re,comrnendatior~.fo~r:any such.ad.ditional equipment considerations~as'~a. ,~
1s function of one or more economic evaluation factors.
Responsive to iterative simulations of drilling and generating of preliminary .: , : -xecommend.ations for the. initiaG~and an~r additional equipiraenfi corisid-orations; the third processor generates an overall recommendation as a function of the preliminary recommendations of iterative drilling simulations. The third processor 2o may also generate a recommendation package of the iterative drilling simulations as a function of economic evaluation factors of select ones of respective iterative drilling simulations. The overall recommendation package content may be in a format that includes hardcopy, CD ROM, computer readable rriedia, electronic file, holographic projection, compressed time animation, or any combination thereof.
2s As discussed herein, the geology and drilling mechanics models of the present iterative simulation method and system digest an existing suite of Logs. The iterative drilling simulation method and system are also characterized by an open architecture that can be readily upgraded to reflect any in- pact that a new technology may have on the economics of an iterative simulation. In addition to the above discussion, the iterative drilling simulation method and system includes capabilities PATENT
Docket No.: 27735.7 (SD-00-007}
for beirig upgraded to reflect newteehnoiogy advaricei~ieiits as they are developed and made generally available. For example, the iterative drilling simulation method and system can be upgraded to take into account technical advancements in one or more of the rig equipment, torque and drag mitigation equipment, downhole rotary s systems, rock destruction tools, drill bit enhancements, and other related technology developments. Accordingly, it is anticipated that as technology advances, the iterative drilling simulation method ~and~system can be modified to reflect any impact of the new technology on the economics of a given iterative simulation.
1o fttustrative examples:
The following description pi-o~ia~es varmus~'illustrat~ve'~examples of applicability ,. _~:.-:,x with respect to the embodiments of~i'H~e°#r~sent.d'is~lo°s~re:~ '~ . , .
;,....,:; ~....-w.' ~ . .:..~.; -.:,..:.,. ~::..., " ...... .. . . : v;.;:..
,;~~., ~....v.y.. ' '..,:;~s~ ~, ~.s~~~",..~;~:;..,..... .,. .,.., ,., . '. , ".. .,, ,. ..
. . , Rig..Selection . . . . . ,~..r. . ~ . . . , . ,. ~. ..~ . . . .. , According to one embodiment, the drilling simulator of the present disclosure - v-w ~r -.w is useful-with respect to rigwselection: For exa.mpte; consider a situation iwwhich a -r...
drilling operator has discovered and~delineated a new offshore field. The operator now intends to develop the field. The operator has a choice of two available drill rigs 2o to put under contract to accomplish the developmental drilling. A first rig ("Rig One") is available at $200,000 per day and a second rig ("Rig Two") is available at $175,000 per day. Rough estimates made by the operator indicate that the operator expects developmental drilling to take three (3) years. Accordingly, the operator seeks to contract a rig for the three (3) year peri~d of time.
Traditional decision making methods used to determine which rig to contract involve estimating or approximating which rig will be most effective through various macro observations of horsepower, pumping power, and weight handling capability relative to the daily cost. From these estimates, a contractor decides which rig to contract.
3a PATENT
Docket No.: 27735.7 (SD-00-007) 'CJ~ing the simulation method of the present disclosure, according to~one'' :, ,:, embodiment, the simulator creates a computerized simulation of each rig and the respective rig's capabilities relative to the particular rock column to be drilled. The characteristics of the rock to be drilled are simulated using log data gathered from s one or more discovery and/or delineation wells. With respect to each rig's particular characteristics, the drilling simulator iteratively produces drilling simulations until an "optimum" drilling approach for the specific rock column for each rig's particular characteristics is determined. These simulations can then be used to allow the operator to make a much better informed decision as to which rig will ultimately 1.o provide a best overall economic value in the development of the particular field.
$. -.; - isn°~#.he.ove~ example, the difference of $25,000 per-day=o~re~r the pr~Je~e~ ~~:
., x.........:....
z .: . : (~fe c~:~: a err coriti-act a - uals W 375 0 a: A :e . ~ y~a~;,...4 ...~~ .:.g q $. , , 0 ccordir~gly;ah poter~.r~(.aonor~ivc.
ire' lice#icrn~ =o : t .e~ d ~i i r ' a r . .: , , , ..~: , .
p f h a s on a a c1 a 1y sign'ificant, '-,..:~~x...~ _.~._..,t-~~-:~~..,.. ;. :..: .; . ,. ~.. .,,.. .~ ...; ...".., . . .: .,....:x~ .,..-.::,.-~.~;.. ,. ~. .. x_.-;:.-e. .:~~-... ~..~-.... . .
is Rig Modification l Upgrade Valuations pril.l.in,g rigs are comprised of various components that represent the total ~~, ~ -~ energ~Yinpdt cap~t~iEities that-a~respective~rig:can appf~y-to-tt~e drilling ofi a--wetl.bore: w --The rig components include, but are not limited to, the rotary table, top drive, drill string, drilling fluid pumps, bottom hole assembly, and hoisting equipment. As a 2o given rig ages, some of the rig components lose efficiency. For instance, this is especially true of the potential of the drill string to accept rotary input, torque, and weight, and of the drilling fluid pumps to operate at or near the manufacturer's original efficiency rating. Replacing these rig components to re-attain their original capabilities inrith respect to the overall drilling rig.system can be an expensive 2s proposition.
The simulation capabilities provided by the process of the present disclosure enable an analyst to iteratively run through various scenarios of drilling before and after potential rig upgrades or component replacements. Accordingly, the analyst can more effectively determine an economic impact of actually making a corresponding upgrade or replacement, or of delaying doing so.

PATENT
Docket No.: 27735.7 (SD-00-007) For example, th-a present erilbociii~ients can be used for assisting in making a multi-million dollar decision whether or not to replace the drilling tubufars of a given drilling rig with new drilling tubufars. By modeling the loss of weight and torque capabilities of an existing drill string in a proposed drilling environment versus the s higher weight and torque capabilities of a new drill string, a far clearer picture of the economic benefits of the new tubulars versus their cost can be derived. For a specific drilling campaign, a rig contractor may consider using the simulation results to aid in convincing a contracting operator to share in the cost of a new drill string, wherein the operator's ultimate drilling costs would be significantly reduced by the to employment of the new system capabilities resulting from the neviv drill tubulars.
Asset comparisons / F~eld~ ~;~QtiQm~~; ' ~ F .. : .. . . .
Operating comp'an'ies rriake=cleci~io~~ on'riihettie~ or i~ot to develop a - - hydrocarbon 'bearing p-rospeet~based'on a simulation of the reservoir, value of the w is hydrocarbon to be produced, logistics costs, and an estimate of drilling costs. The present invention, allowing for a scientifically based simulation of the drilling system -and it-'s- respee~t-ivew efficiencies; prov~ctes vthe °o-perator with a much more reliable way -of factoring the economic aspects of drilling costs into tine decision making process.
Specifically, by using, a simulation according to the present embodiments 2o rather than an estimation, a decision could swing to developing a field, rather than abandoning its development as not being economically feasible.
Given that a simulation, according to the present embodiments, can be used to assist in the economic evaluation of an individual prospective asset, such a simulation can by extension be used to make comparisons of the economics of 2s multiple prospective assets. Accordingly, the simulation method of the present disclosure assists in determining which of multiple prospective assets should be developed and in what order they should be developed.
DHM (Down Hofe Motor) vs Rotary Steerable vs Turbine Evaluations PATENT
Docket No.: 27735.7 (SD-00-007) . Drilling system components that provide°down hole ro~tatio~'wephancements and/or directional drilling control methods represent an expensive addition to an overal-I drilling system. The simulation system of the present embodiments make it possible to iteratively compare downhole performance and ultimate economics of the s various available down hole rotation andlor directional drilling control drilling system components. Exemplary drilling system components may include, for example, down hose motor, rotary steerable system, ~iownhole turbine, or other similar component.
From an operator's viewpoint, having a simulation makes it possible to arrive at the best possible system for the drilling project ahead, prior t~o an initial ~.~ deuelopmental well. The simulation also.enables--a~oidtng~th:e ~e~pertse of "field Y,.... ~ .~~. ~~;,' _t~st~~g"° of carious systems to,eventually, each ~:praferG~d etf~.iad~hirreiri, the ,:: ~ . w; ,t~hod of "field testing" may or may not product. a~ ~optim~~a.
rrre:od~.. .
is Contractor Pricing / Qualification Consulting Rig contractors manage fleets of drilling rigs of various:ratings,,.
capabilities, -..,.: . . an~,.,~,~ear.cohditions: According to one-embodiment of;the;present dfiscl~sure;~-the simulator enables cross-analyses of the capabilities of some or all of the subject rig fleet to be performed, allowing a contractor to determine which members of a given ao fleet are best suited for a particular drilling challenge or challenges. In addition, ttie contractor can use the simulation outputs for determining appropriate upgrade strategies and upgrade timing decisions. Decisions to build a new rig versus refurbishing an existing rig can also be positively impacted by use of embodiments of the simulator method and apparatus of the present disclosure.
2s With access to the embodiments of the present disclosure, a rig contractor can use the simulations or simulation data outputs produced by the simulator in contract negotiations with drilling operators to pravide further information as to the "1'it-for-purpose" nature of a particular rig or rigs. The leverage provided by the simulation should allow the contractor an ability to negotiate better financial terms for ~o the lease of the particular rig or rigs.

'~~: ~~.' 'a,.;:
PATENT
Docket No.: 27735.7 (SD-00-007) _.. . .. ~ . . . ., .. ,.. 4 , .,. ,:, ., Drilling Fluids Selection and Economic Impact According to another embodiment, the simulator takes into account properties of the drilling fluid to be used in a drilling process, relative to the formations) to be s drilled. Such a capability allows the simulator output to be used to make decisions on drilling fluids economics, drilling fluids selection and additional hydraulics parameters to be used in a given drilling process.
Drilling Parameter Recommendations to If during the coarse of a developmental drilling campaign, an operator ' d:eter~ni-nes:tllat-dri'filing co'~ts are unacceptably high; then there is a I'rkefihoodetl~'at .
. ; -:. , ~ g pp ~ ...~ :. ~;:
s~ ~:i '. . .
lt~ b~~aaic~n.ta r~ddce ~i'il~fin costs-. One basic a roach to redtice'dr~~tlih os s (a~~~v~Ifv~~r~d~u~e°wd~'alf'cost) istc~ imprcsve drilling efficiency : ' ' "-Accor~d'tng to another embodiment ofthe present disclosure, the s.imui°ator v ' °~ w is iteratively models drilling efficiencies. That is, the simulator provides opportunities for improved drilling efficiency to .be iteratively modeled and analyzed by using . , _ ...~,ar.~u$~ sets ofyrilling. parameter ~npr is and bit models. T-he best v~y-forward in theca . . .. . , reduction of drilling costs can then be identified and implemented without the ongoing expense of "field trials" to attempt, either successfully or unsuccessfully, to 2o reduce drilling costs.
Time to First Economic Production Evaluations Operators use determinations of time to firsf economic hydrocarbon production to assist them in determining a net present value of a developmental 2s prospect. An output of the simulator of the present embodiments provides a more accurate estimate of drilling times than previous estimation methods. The greater accuracy provided by the simulator of the present embodiments allows an operator to generate a better determination as to what an actual time will be to first economic hydrocarbon production.

.................._.......... ~ 02369669 2002-O1-29 ,::::,;:; ,, v:. ..
PATENT
Docket No.: 27'135.7 (SD-00-00'7) Infield Drilling Economics Infield drilling is performed to obtain additional production from fields that have previously been producing. Because the field has seen previous drilling, the assumption is generally made that drilling times for the infield drilling will generally s be close to the earlier drilling. A simulation according to the present embodiments can be carried out to either verify the typical assumption, or to iteratively improve under simulated conditions, valuable drilling efficiencies prior to or early on in the commencement of the infield drilling.
1o Lease and Drilling Cost Evaluations x : , ; Nations from time to time. offer.-leased minr~raf r~:~hts ao:,properties for -hyd.roea:rbon:exploration.Oper~~to~sa:~z~~uatethepr.~apertLes;b:ased.o:n..seism ic ,;,.- analyses. to determine if the~propertie~~are~of ~~intei~e~t=~and for.
developing a~.bid price that.the.op.eratorwiil offer for. a.oo,rresponding leave:ar<teases: Operators may also is offer lease rights, that they already hold, to others from time to time.
With use of the simulator embodiments of the present disclosure, a. more accurate estimate of likely ,.. . .., ...drifiing.cos~t~s .for a given lease" can be made: Accordi-ngly;~.tf~e present ei-nbQdiments assist an operator in determining an appropriate bid price to offer for a given lease or leases.
Although only a few exemplary embodiments of this invention have been described in detail above, those skilled in the art wi(1 readily appreciate that many modifications are possible in the exemplary embodiments without materially departing from the novel teachings and advantages of this invention.
Accordingly, 2s all such modifications are intended to be included within the scope of this invention as defined in the following claims. In the claims, means-plus-function clauses are intended to cover the structures described herein as performing the recited function and not only structural equivalents, but also equivalent structures.
s-

Claims (60)

1. An iterative drilling simulation method for enhanced economic decision making comprising:
obtaining characteristics of a rock column in a formation to be drilled;
specifying characteristics of at least one drilling rig system; and iteratively simulating the drilling of a well bore in the formation arid producing an economic evaluation factor for each iteration of drilling simulation, wherein each iteration of drilling simulation is a function of the rock column and the characteristics of the at least one drilling rig system according to a prescribed drilling simulation model.
2. The method of claim 1, wherein the economic evaluation factor includes a minimum number of hours on bottom to drill the well bore.
3. The method claim 1, wherein the economic evaluation factor includes a minimum cost amount for drilling the well bore, and wherein the minimum cost amount is a function of both a minimum number of hours on bottom to drill the well bore and a cost per day for a respective drilling rig system.
4. The method of claim 1, wherein the well bore comprises sections of well bore, and wherein the economic evaluation factor includes a minimum number of hours on bottom to drill a respective section of well bore.
5. The method of claim 1, wherein the well bore comprises sections of well bore, and each section is characterized by a minimum number of hours on bottom to drill a respective section of well bore, and wherein the economic evaluation factor includes a cumulative minimum number of hours on bottom to drill the respective sections of well bore.
6. The method of claim 1, wherein the characteristics of the rock column include at least one of the following selected from the group consisting of lithology, rock strength, shale plasticity, log data, and porosity.
7. The method of claim 1, wherein the characteristics of the rock column include at least one of the following selected from the group consisting of lithology, rock strength, and shale plasticity, wherein a respective characteristic is derived from log data and a respective lithology model, rock strength model, and shale plasticity model, further wherein the log data includes at least one of the following selected from the group consisting of well, logs, mud, logs, core data, and bit records.
8. The method of claim 1, wherein the characteristics of the at least one drilling rig system include at least one of the following selected from the group consisting of rig inputs, drill string and bottom hole assembly, drill bit inputs, and hydraulic properties.
9. The method of claim 8, wherein the rig inputs include at least one of the following selected from the group consisting of operating constraints, rig costs, maximum weight on bit, top drive torque, table drive torque, top drive minimum RPM
(revolutions per minute), table drive minimum RPM, fop drive maximum RPM, table drive maximum RPM, maximum GPM (gallons per minute) for pumps, and standpipe maximum PSI (pounds per square inch).
10. The method of claim 8, wherein the drift string and bottom hole assembly (BHA) characteristics include at least one of the following selected from the group consisting of motor RPM (revolutions per minute), turbine RPM, motor torque, turbine torque, rotary steerable system, PSI (pounds per square inch) loss through BHA, PSI string loss, string torque, string drag, and drill string economics.
11. The method of claim 8, wherein the drill bit inputs include at least one of the following selected from the group consisting of bit type, bit diameter, bit cutting structure 3D (three dimensional) model, bit work rating, bit wear rating, bit junk slot area, bit TFA (total flow area), and bit pressure drop.
12. The, method of claim 8, wherein the hydraulic properties include at least one of the following selected from the group consisting of oil, synthetic, water, weight PPG (pounds per gallon), yield point, plastic viscosity, annular velocity, water loss, lost circulation, ECD (equivalent circulating densities), depth in, depth out, maximum ROP (rate of penetration), and fluid costs.
13. The method of claim 1, wherein the characteristics of the at least one drilling rig system include at least one of the following selected from the group consisting of a bit specification, down hole motor, top drive system, rotary table, mud system, mud pump, hydraulics, and operating parameters.
14. The method of claim 13, wherein the operating parameters include at least one of the following selected from the group consisting of weight-on-bit, rotary RPM
(revolutions per minute), cost per day, rate of penetration, torque, and pump flow rate.
15. The method of claim 1, further comprising:
generating a simulated well bore drilling performance output for a given iteration of simulated drilling of the well bore, the simulated well bore drilling performance output suitable for facilitating an enhanced economic decision making with respect to an actual drilling with a respective drilling rig system in a field containing formations analogous to the rock column.
16. The method of claim 15, wherein the simulated well bore drilling performance output includes at least one of the following selected from the group consisting of (a) identification of drilling rig system characteristics, the characteristics including at least a drilling rig system economic factor, (b) a representation of at least one section of well bore in the rock column, (c) a minimum duration of time needed on bottom to drill a respective at least one section of well bore, (d) a cumulative duration of time needed to drill all sections of well bore, and (e) a minimum cost amount determined as a function of the cumulative duration of time and the drilling rig system economic factor.
17. The method of claim 15, wherein the simulated well bore drilling performance output includes at least one of the following selected from the group consisting of (a) identification of drilling rig system characteristics, the characteristics including at least a drilling rig system economic factor, (b) a representation of the well bore in the rock column, (c) a minimum duration of time needed on bottom to drill the well bore, and (d) a minimum cost amount determined as a function of the duration of time and the drilling rig system economic factor.
18. The method of claim 1, further comprising:
generating a simulated well bore drilling performance output for at least one iteration of the simulated drilling of the well bore, the simulated well bore drilling performance output facilitating enhanced economic decision making with respect to an actual drilling in a field containing formations analogous to the rock column with a respective drilling rig system corresponding to that of the at least one iteration of the simulated drilling of the well bore.
19. The method of claim 1, wherein the drilling simulation model includes at least one of the following selected from the group consisting of a mechanical efficiency model, bit wear model, hole cleaning efficiency model, penetration rate model, and drilling economics model.
20. An iterative drilling simulation method for enhanced economic decision making comprising:
obtaining characteristics of a rock column in a formation to be drilled, wherein the characteristics of the rock column include at least one of the following selected from the group consisting of lithology, rock strength, and shale plasticity, wherein a respective characteristic is derived from log data and a respective lithology model, rock strength model, and shale plasticity model, further wherein the log data includes at least one of the following selected from the group consisting of well logs, mud logs, core data, and bit records;
specifying characteristics of at least one drilling rig system, wherein the characteristics of the at least one drilling rig system include at least one of the following consisting of rig inputs, drill string and bottom hole assembly inputs, drill bit inputs, and hydraulic properties, wherein the rig inputs include operating constraints, rig costs, maximum weight on bit, top drive torque, table drive torque, top drive minimum RPM, table drive minimum RPM, top drive maximum RPM, table drive maximum RPM, pumps maximum GPM, and standpipe maximum PSI, wherein the drill sting and bottom hole assembly (BHA) characteristics include at least one of the following selected from the group consisting of motor RPM, turbine RPM, motor torque, turbine torque, rotary steerable system, PSI toss through BHA, PSI string loss, string torque, string drag, and drill string economics, wherein the drill bit inputs include at least one of the following selected from the group consisting of bit type, bit diameter, bit cutting structure 3D
model, bit work rating, bit wear rating, bit junk slot area, bit TFA (total flow area), and bit pressure drop, and wherein the hydraulic properties include at least one of the following selected from the group consisting of oil, synthetic, water, weight PPG
(pounds per gallon), yield point, plastic viscosity, annular velocity, water loss, lost circulation, ECD (equivalent circulating densities), depth in, depth out, maximum ROP, and fluid costs;
iteratively simulating the drilling of a well bore in the formation and producing an economic evaluation factor for each iteration of drilling simulation, wherein each iteration of drilling simulation is a function of the rock column and the characteristics of the at least one drilling rig system according to a prescribed drilling simulation model, wherein the drilling simulation model includes at least one of the following selected from the group consisting of a mechanical efficiency model, bit wear model, hole cleaning efficiency model, penetration rate model, and drilling economics model; and generating a recommendation package of drilling rig system characteristics for use in an actual drilling of a well bore in the formation as a function of the economic evaluation factors.
21. A method for enhanced economic decision making in connection with drilling at least one well bore in a given formation comprising:
obtaining characteristics of a rock column in the formation to be drilled;
specifying characteristics of at least one drilling rig system;
iteratively simulating the drilling of the well bore in the formation and producing an economic evaluation factor for each iteration of drilling simulation, wherein each iteration of drilling simulation is a function of the rock column and the characteristics of the at least one drilling rig system according to a drilling simulation model; and generating a recommendation package of drilling rig system characteristics for use in an actual drilling of a well bore in the formation as a function of the economic evaluation factors.
22. The method of claim 21, wherein the recommendation package includes at least one of the following selected from the group consisting of hardcopy, CD
ROM, computer readable media, electronic file, holographic projection, compressed time animation, and any combination thereof.
23. The method of claim 21, wherein the drilling rig system characteristics include characteristics of more than one drilling rig system.
24. A recommendation package for enhancing economic decision making in connection with drilling at least one well bore in a given formation, the recommendation package comprising:
at least one economic evaluation factor; and at least one recommendation of drilling rig system characteristics for use in an actual drilling of the at least one well bore in the formation as a function of the economic evaluation factors; wherein said at least one economic evaluation factor having been derived by a method that includes:
obtaining characteristics of a rock column in the formation to be drilled;

specifying characteristics of at least one drilling rig system; and iteratively simulating the drilling of the well bore in the formation and producing an economic evaluation factor for each iteration of drilling simulation, wherein each iteration of drilling simulation is a function of the rock column and the characteristics of the at least one drilling rig system according to a drilling simulation model.
25. The recommendation package of claim 24, further comprising at least one of the following selected from the group consisting of hardcopy, CD ROM, computer readable media, electronic file, holographic projection, compressed time animation, and any combination thereof.
26. A method for preparing a recommendation package for enhanced economic decision making in connection with drilling at least one well bore in a given formation, the method comprising:
obtaining geology characteristics of the formation to be drilled, the geology characteristics including at least a rock column;
specifying equipment characteristics of at least one drilling system, the equipment characteristics including drilling mechanics parameters;
iteratively simulating the drilling of the well bore in the formation, producing an economic evaluation factor for each respective iterative drilling simulation and modifying drilling mechanics parameters until a desired optimization of the iterative drilling simulation is achieved, wherein each iterative drilling simulation is a function of the geology and drilling system equipment characteristics according to a drilling simulation model;
generating a preliminary recommendation in response to the iterative drilling simulation achieving the desired optimization;
repeating, for any additional equipment considerations, the steps of specifying equipment characteristics of at least one drilling system, iteratively simulating the drilling of the well bore; and generating a preliminary recommendation for any additional equipment considerations; and generating an overall recommendation as a function of the preliminary recommendations of iterative drilling simulations.
27. The method of claim 26, wherein the overall recommendation comprises at least one of the following selected from the group consisting of hardcopy, CD
ROM, computer readable media, electronic file, holographic projection, compressed time animation, and any combination thereof.
28. A method for preparing a recommendation package for enhanced economic decision making in connection with drilling at least one well bore in a given formation, the method comprising:
obtaining geology characteristics of the formation to be drilled, the geology characteristics including at least a rock column;
specifying equipment characteristics of at least one drilling system, the equipment characteristics including drilling mechanics parameter;
simulating the drilling of the well bore in the formation, wherein the drilling simulation is a function of the geology and drilling system equipment characteristics according to a drilling simulation model;
generating an economic evaluation factor as a function of the drilling simulation;
iteratively repeating, for any additional equipment considerations, the steps of specifying equipment characteristics, simulating the drilling of the well bore, and generating an economic evaluation factor; and generating a recommendation package of the iterative drilling simulations as a function of economic evaluation factors of select ones of respective iterative drilling simulations.
29. The method of claim 28, wherein the recommendation package comprises at least one of the following selected from the group consisting of hardcopy, CD
ROM, computer readable media, electronic file, holographic projection, and any combination thereof.
30. A computer program product for enabling iterative drilling simulation for enhanced economic decision making comprising:
a computer program processable by a computer system for causing the computer system to:
obtain characteristics of a rock column in a formation to be drilled, obtain characteristics of of least one drilling rig system, and iteratively simulate the drilling of a well bore in the formation and produce an economic evaluation factor for each iteration of drilling simulation, wherein each iteration of drilling simulation is a function of the rock column and the characteristics of the at least one drilling rig system according to a drilling simulation model; and apparatus from which the computer program is accessible by the computer system.
31. The computer program product of claim 30, wherein the economic evaluation factor includes a minimum cost amount for drilling the well bore, and wherein the minimum cost amount is a function of both a minimum number of hours on bottom to drill the well bore and a cost per day for a respective drilling rig system.
32. The computer program product of claim 30, wherein the well bore comprises sections of well bore; and wherein the economic evaluation factor includes a minimum number of hours on bottom to drill a respective section of well bore.
33. The computer program product of claim 30, wherein the well bore comprises sections of well bore, and each section is characterized by a minimum number of hours on bottom to drill a respective section of well bore, and wherein the economic evaluation factor includes a cumulative minimum number of hours on bottom to drill the respective sections of well bore.
34. The computer program product of claim 30, wherein the characteristics of the rock column include at least one of the following selected from the group consisting of lithology, rock strength, shale plasticity, log data, and porosity.
35. The computer program product of claim 30, wherein the characteristics of the at least one drilling rig system include at least one of the following selected from the group consisting of a bit specification, down hole motor, top drive system, rotary table, mud system, mud pump, hydraulics, and operating parameters.
36. The computer program product of claim 35, wherein the operating parameters include at least one of the following selected from the group consisting of weight-on-bit, rotary RPM (revolutions per minute), cost per day, rate of penetration, torque, and pump flow rate.
37. The computer program product of claim 30, wherein the computer program is further processable by the computer system for causing the computer system to:
generate a simulated well bore drilling performance output for a given iteration of simulated drilling of the well bore, the simulated well bore drilling performance output suitable for facilitating an enhanced economic decision making with respect to an actual drilling with a respective drilling rig system in a field containing formations analogous to the rock column.
38. The computer program product of claim 37, wherein the simulated well bore drilling performance output includes at least one of the following selected from the groups consisting of (a) identification of drilling rig system characteristics, the characteristics including at least a drilling rig system economic factor, (b) a representation of the well bore in the rock column, (c) a minimum duration of time needed on bottom to drill the well bore, and (d) a minimum cost amount determined as a function of the duration of time and the drilling rig system economic factor.
39. The computer program product of claim 30, wherein the computer program is further processable by the computer system for causing the computer system to:
generate a simulated well bore drilling performance output for at least one iteration of the simulated drilling of the well bore, the simulated well bore drilling performance output facilitating enhanced economic decision making with respect to actual drilling in a field containing formations analogous to the rock column with a respective drilling rig system corresponding to that of the at least one iteration of the simulated well bore drilling performance.
40. An iterative drilling simulation system for enhanced economic decision making comprising:
a first input for obtaining characteristics of a rock column in a formation to be drilled;
a second input for specifying characteristics of at least one drilling rig system;
and a simulator for iteratively simulating the drilling of a well bore in the formation and producing an economic evaluation factor for each iteration of drilling simulation, wherein each iteration of drilling simulation is a function of the rock column and the characteristics of the at least one drilling rig system according to a drilling simulation model.
41. The system of claim 40, wherein the economic evaluation factor includes a minimum number of hours on bottom to drill the well bore.
42. The system of claim 40, wherein the economic evaluation factor includes a minimum cost amount for drilling the well bore, and wherein the minimum cost amount is a function of both a minimum number of hours on bottom to drill the well bore and a cost per day for a respective drilling rig system.
43. The system of claim 40, wherein the well bore comprises sections of well bore, and each section is characterized by a minimum number of hours on bottom to drill a respective section of well bore, and wherein the economic evaluation factor includes a cumulative minimum number of hours on bottom to drill the respective sections of well bore.
44. The system of claim 40, wherein the characteristics of the rock column include at least one of the following selected from the group consisting of lithology, rock strength, shale plasticity, log data, and porosity.
45. The system of claim 40, wherein the characteristics of the at least one drilling rig system include at least one of the following selected from the group consisting of a bit specification, down hole motor, top drive system, rotary table, mud system, mud pump, hydraulics, and operating parameters.
46. The system of claim 45, wherein the operating parameters include at least one of the following selected from the group consisting of weight-on-bit, rotary RPM
(revolutions per minute), cost per day, rate of penetration, torque, and pump flow rate.
47. The system of claim 40, wherein said simulator is further for generating a simulated well bore drilling performance output for at least one iteration of simulated drilling of the well bore, the simulated well bore drilling performance output suitable for facilitating an enhanced economic decision making with respect to an actual drilling with a respective drilling rig system in a field containing formations analogous to the rock column.
48. The system of claim 47, wherein the simulated well bore drilling performance output includes at least one of the following selected from the group consisting of (a) identification of drilling rig system characteristics, the characteristics including at least a drilling rig system economic factor, (b) a representation of the well bore in the rock column, (c) a minimum duration of time needed on bottom to drill the well bore, and (d) a minimum cost amount determined as a function of the duration of time and the drilling rig system economic factor.
49. An iterative drilling simulation system for enhanced economic decision making comprising:
first input for obtaining characteristics of a rock column in a formation to be drilled, wherein the characteristics of the rock column include at least one of the following selected from the group consisting of lithology, rock strength, and shale plasticity, wherein a respective characteristic can be derived from log data and a respective lithology model, rock strength model, and shale plasticity model;
second input for specifying characteristics of at least one drilling rig system;
wherein the characteristics of the at least one drilling rig system include at least one of the following selected from the group consisting of rig inputs, drill string and bottom hole assembly inputs, drill bit inputs, and hydraulic properties, wherein the rig inputs include at least one of the following selected from the group consisting of operating constraints, rig costs, maximum weight on bit, top drive torque, table drive torque, top drive minimum RPM, table drive minimum RPM, top drive maximum RPM, table drive maximum RPM, pumps maximum GPM, and standpipe maximum PSI, wherein the drill sting and bottom hole assembly (BHA) characteristics include at least one of the following selected from the group consisting of motor RPM, turbine RPM, motor torque, turbine torque, rotary steerable system, PSI loss through BHA, PSI string loss, string torque, string drag, and drill string economics, wherein the drill bit inputs include at least one of the following selected from the group consisting of bit type, bit diameter, bit cutting structure 3D
model, bit work rating, bit wear rating, bit junk slot area, bit TFA (total flow area), and bit pressure drop, wherein the hydraulic properties include a least one of the following selected from the group consisting of oil, synthetic, water, weight PPG
(pounds per gallon), yield point, plastic viscosity, annular velocity, water loss, lost circulation, ECD (equivalent circulating densities), depth in, depth out, maximum ROP, and fluid costs; and a simulator for iteratively simulating the drilling of a well bore in the formation and producing an economic evaluation factor for each iteration of drilling simulation, wherein each iteration of drilling simulation is a function of the rock column and the characteristics of the at least one drilling rig system according to a drilling simulation model, wherein the drilling simulation model includes at least one of the following selected from the group consisting of a mechanical efficiency model, bit wear model, hole cleaning efficiency model, penetration rate model, and drilling economics model, said simulator further for generating a recommendation package of drilling rig system characteristics for use in an actual drilling of a well bore in the formation as a function of the economic evaluation factors.
50 50. A system for enhanced economic decision making in connection with drilling at least one well bore in a given formation comprising:
first input for obtaining characteristics of a rock column in the formation to be drilled;
second input for specifying characteristics of at least one drilling rig system;
and a simulator for iteratively simulating the drilling of the well bore in the formation and producing an economic evaluation factor for each iteration of drilling simulation, wherein each iteration of drilling simulation is a function of the rock column and the characteristics of the at least one drilling rig system according to a drilling simulation model, said simulator further for generating a recommendation package of drilling rig system characteristics for use in an actual drilling of a well bore in the formation as a function of the economic evaluation factors.
51. The system of claim 50, wherein the recommendation package includes at least one of the following selected from the group consisting of hardcopy, CD
ROM, computer readable media, electronic file, holographic projection, compressed time animation, and any combination thereof.
52. The system of claim 50, wherein the drilling rig system characteristics include characteristics of more than one drilling rig system.
53. A system for preparing a recommendation package for enhanced economic decision making in connection with drilling at least one well bore in a given formation, said system comprising:
first input for obtaining geology characteristics of the formation to be drilled, the geology characteristics including at least a rock column;
second input for specifying equipment characteristics of at least one drilling system, the equipment characteristics including drilling mechanics parameters;
and a simulator for iteratively simulating the drilling of the well bore in the formation, producing an economic evaluation factor for each respective iterative drilling simulation and modifying drilling mechanics parameters until a desired optimization of the iterative drilling simulation is achieved, wherein each iterative drilling simulation is a function of the geology and drilling system equipment characteristics according to a drilling simulation model, said simulator further for generating a preliminary recommendation in response to the iterative drilling simulation achieving the desired optimization, wherein said simulator operates to repeat the specifying of equipment characteristics of at least one drilling system, iteratively simulating the drilling of the well bore, and generating a preliminary recommendation for any additional equipment considerations, wherein said simulator further generates an overall recommendation as a function of the preliminary recommendations of iterative drilling simulations.
54. The system of claim 53, wherein the overall recommendation package comprises at least one of the following selected from the group consisting of hardcopy, CD ROM, computer readable media, electronic file, holographic projection, compressed time animation, and any combination thereof.
55. A system for preparing a recommendation package for enhanced economic decision making in connection with drilling at least one well bore in a given formation, said system comprising:
first input for obtaining geology characteristics of the formation to be drilled, the geology characteristics including at least a rock column;
second input for specifying equipment characteristics of at least one drilling system, the equipment characteristics including drilling mechanics parameters;
and a simulator for simulating the drilling of the well bore in the formation, wherein the drilling simulation is a function of the geology and drilling system equipment characteristics according to a drilling simulation model, said simulator further for generating an economic evaluation factor as a function of the drilling simulation, wherein said simulator operates to iteratively repeat, for any additional equipment considerations, the specifying of equipment characteristics, simulating the drilling of the well bore, and generating the economic evaluation factor, wherein said simulator further generates a recommendation package of the iterative drilling simulations as a function of economic evaluation factors of select ones of respective iterative drilling simulations.
56. The system of claim 55, wherein the recommendation package comprises at least one of the following selected from the group consisting of hardcopy, CD
ROM, computer readable media, electronic file, holographic projection, compressed time animation, and any combination thereof.
57. A simulator for enhanced economic decision making in connection with drilling at least one well bore in a given formation, said simulator comprising:
a first processor, responsive to geology characteristics of the formation to be drilled and specified equipment characteristics of at least one drilling system, for iteratively simulating the drilling of the wellbore in the formation, said first processor for producing an economic evaluation factor for each respective iterative drilling simulation and for modifying drilling mechanics parameters until a desired optimization of the iterative drilling simulation is achieved, wherein each iterative drilling simulation is a function of the geology and drilling system equipment characteristics according to a drilling simulation model;
a second processor, responsive to the achievement of the desired optimization by said first processor, for generating a preliminary recommendation, wherein said first and second processors further operate in response to the geology characteristic and any additional specified equipment characteristics of the at least one drilling system for iteratively simulating the drilling of the well bore and generating a preliminary recommendation for any such additional equipment considerations; and a third processor for generating an overall recommendation as a function of the preliminary recommendations of iterative drilling simulations, wherein the geology characteristics include at least a rock column and the equipment characteristics include the drilling mechanics parameters.
58. The simulator of claim 57, wherein the overall recommendation package comprises at least one of the following selected from the group consisting of hardcopy, CD ROM, computer readable media, electronic file, holographic projection, compressed time animation, and any combination thereof.
59. A simulator for enhanced economic decision making in connection with drilling at least one well bore in a given formation, said simulator comprising:
first input for obtaining geology characteristics of the formation to be drilled, the geology characteristics including at least a rock column;
second input for specifying equipment characteristics of at least one drilling system, the equipment characteristics including drilling mechanics parameters;
a first processor, responsive to geology characteristics of the formation to be drilled and specified equipment characteristics of at least one drilling system, for simulating the drilling of the well bore in the formation, wherein the drilling simulation is a function of the geology and drilling system equipment characteristics according to a drilling simulation model;
a second processor for generating an economic evaluation factor as a function of the drilling simulation, wherein said first and second processors operate to iteratively repeat, in response to any additional equipment considerations of specified equipment characteristics, the simulating of the drilling of the well bore and generating of the economic evaluation factor; and a third processor for generating a recommendation package of the iterative drilling simulations as a function of economic evaluation factors of select ones of respective iterative drilling simulations.
60. The simulator of claim 59, wherein the recommendation package comprises at least one of the following selected from the group consisting of hardcopy, CD
ROM, computer readable media, electronic file, holographic projection, compressed time animation, and any combination thereof.
CA2369669A 2001-03-28 2002-01-29 Iterative drilling simulation process for enhanced economic decision making Expired - Fee Related CA2369669C (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US09/820,242 2001-03-28
US09/820,242 US6612382B2 (en) 1996-03-25 2001-03-28 Iterative drilling simulation process for enhanced economic decision making

Publications (2)

Publication Number Publication Date
CA2369669A1 true CA2369669A1 (en) 2002-09-28
CA2369669C CA2369669C (en) 2014-05-27

Family

ID=25230283

Family Applications (1)

Application Number Title Priority Date Filing Date
CA2369669A Expired - Fee Related CA2369669C (en) 2001-03-28 2002-01-29 Iterative drilling simulation process for enhanced economic decision making

Country Status (7)

Country Link
US (3) US6612382B2 (en)
BR (1) BR0200873A (en)
CA (1) CA2369669C (en)
FR (2) FR2823581B1 (en)
GB (1) GB2378017B (en)
NL (3) NL1020253C2 (en)
NO (2) NO333726B1 (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10875209B2 (en) 2017-06-19 2020-12-29 Nuwave Industries Inc. Waterjet cutting tool
US20220051318A1 (en) * 2020-08-11 2022-02-17 Hitachi, Ltd. Supply and demand matching within an exchange market for anticipative demand from early signals

Families Citing this family (195)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5794720A (en) * 1996-03-25 1998-08-18 Dresser Industries, Inc. Method of assaying downhole occurrences and conditions
US6612382B2 (en) * 1996-03-25 2003-09-02 Halliburton Energy Services, Inc. Iterative drilling simulation process for enhanced economic decision making
US7032689B2 (en) * 1996-03-25 2006-04-25 Halliburton Energy Services, Inc. Method and system for predicting performance of a drilling system of a given formation
US7251590B2 (en) * 2000-03-13 2007-07-31 Smith International, Inc. Dynamic vibrational control
US7020597B2 (en) 2000-10-11 2006-03-28 Smith International, Inc. Methods for evaluating and improving drilling operations
CA2340547C (en) * 2000-03-13 2005-12-13 Smith International, Inc. Method for simulating drilling of roller cone bits and its application to roller cone bit design and performance
US7693695B2 (en) * 2000-03-13 2010-04-06 Smith International, Inc. Methods for modeling, displaying, designing, and optimizing fixed cutter bits
US6785641B1 (en) * 2000-10-11 2004-08-31 Smith International, Inc. Simulating the dynamic response of a drilling tool assembly and its application to drilling tool assembly design optimization and drilling performance optimization
US9482055B2 (en) * 2000-10-11 2016-11-01 Smith International, Inc. Methods for modeling, designing, and optimizing the performance of drilling tool assemblies
US20050273304A1 (en) * 2000-03-13 2005-12-08 Smith International, Inc. Methods for evaluating and improving drilling operations
US7464013B2 (en) * 2000-03-13 2008-12-09 Smith International, Inc. Dynamically balanced cutting tool system
US8589124B2 (en) * 2000-08-09 2013-11-19 Smith International, Inc. Methods for modeling wear of fixed cutter bits and for designing and optimizing fixed cutter bits
US6527068B1 (en) * 2000-08-16 2003-03-04 Smith International, Inc. Roller cone drill bit having non-axisymmetric cutting elements oriented to optimize drilling performance
US7284623B2 (en) * 2001-08-01 2007-10-23 Smith International, Inc. Method of drilling a bore hole
US7027968B2 (en) * 2002-01-18 2006-04-11 Conocophillips Company Method for simulating subsea mudlift drilling and well control operations
DE10225274A1 (en) * 2002-06-07 2003-12-18 Hilti Ag Method and system for providing a decision aid for users for the selection of drilling and / or cutting elements to be used in a building material region
US7334222B2 (en) * 2002-09-11 2008-02-19 International Business Machines Corporation Methods and apparatus for dependency-based impact simulation and vulnerability analysis
US6675101B1 (en) 2002-11-14 2004-01-06 Schlumberger Technology Corporation Method and system for supplying well log data to a customer
US7026950B2 (en) * 2003-03-12 2006-04-11 Varco I/P, Inc. Motor pulse controller
US8185365B2 (en) * 2003-03-26 2012-05-22 Smith International, Inc. Radial force distributions in rock bits
US7835893B2 (en) * 2003-04-30 2010-11-16 Landmark Graphics Corporation Method and system for scenario and case decision management
US6760665B1 (en) * 2003-05-21 2004-07-06 Schlumberger Technology Corporation Data central for manipulation and adjustment of down hole and surface well site recordings
FR2855633B1 (en) * 2003-06-02 2008-02-08 Inst Francais Du Petrole METHOD FOR AIDING DECISION-MAKING FOR THE MANAGEMENT OF A PETROLEUM DEPOSITION UNDER UNCERTAIN TECHNICAL AND ECONOMIC PARAMETERS
CA2531397C (en) * 2003-07-09 2010-04-13 Smith International, Inc. Methods for modeling wear of fixed cutter bits and for designing and optimizing fixed cutter bits
NO20050200L (en) * 2004-01-13 2005-07-14 Weatherford Lamb System for evaluating over- and under-balanced drilling operations
US7434632B2 (en) * 2004-03-02 2008-10-14 Halliburton Energy Services, Inc. Roller cone drill bits with enhanced drilling stability and extended life of associated bearings and seals
US7653563B2 (en) * 2004-03-17 2010-01-26 Schlumberger Technology Corporation Method and apparatus and program storage device adapted for automatic qualitative and quantitative risk assessment based on technical wellbore design and earth properties
US7630914B2 (en) * 2004-03-17 2009-12-08 Schlumberger Technology Corporation Method and apparatus and program storage device adapted for visualization of qualitative and quantitative risk assessment based on technical wellbore design and earth properties
US7546884B2 (en) * 2004-03-17 2009-06-16 Schlumberger Technology Corporation Method and apparatus and program storage device adapted for automatic drill string design based on wellbore geometry and trajectory requirements
US7258175B2 (en) * 2004-03-17 2007-08-21 Schlumberger Technology Corporation Method and apparatus and program storage device adapted for automatic drill bit selection based on earth properties and wellbore geometry
US7548873B2 (en) * 2004-03-17 2009-06-16 Schlumberger Technology Corporation Method system and program storage device for automatically calculating and displaying time and cost data in a well planning system using a Monte Carlo simulation software
GB2413403B (en) * 2004-04-19 2008-01-09 Halliburton Energy Serv Inc Field synthesis system and method for optimizing drilling operations
EP1745612A4 (en) * 2004-05-11 2011-03-16 Trimble Planning Solutions Pty Ltd Path analysis system
GB2460560B (en) 2004-08-16 2010-01-13 Halliburton Energy Serv Inc Roller cone drill bits with optimized bearing structures
US7636671B2 (en) * 2004-08-30 2009-12-22 Halliburton Energy Services, Inc. Determining, pricing, and/or providing well servicing treatments and data processing systems therefor
GB0419588D0 (en) 2004-09-03 2004-10-06 Virtual Well Engineer Ltd "Design and control of oil well formation"
US20060076163A1 (en) * 2004-10-12 2006-04-13 Smith International, Inc. Flow allocation in drill bits
US7412331B2 (en) * 2004-12-16 2008-08-12 Chevron U.S.A. Inc. Method for predicting rate of penetration using bit-specific coefficient of sliding friction and mechanical efficiency as a function of confined compressive strength
US7555414B2 (en) * 2004-12-16 2009-06-30 Chevron U.S.A. Inc. Method for estimating confined compressive strength for rock formations utilizing skempton theory
US7831419B2 (en) * 2005-01-24 2010-11-09 Smith International, Inc. PDC drill bit with cutter design optimized with dynamic centerline analysis having an angular separation in imbalance forces of 180 degrees for maximum time
US7142986B2 (en) * 2005-02-01 2006-11-28 Smith International, Inc. System for optimizing drilling in real time
US7954559B2 (en) * 2005-04-06 2011-06-07 Smith International, Inc. Method for optimizing the location of a secondary cutting structure component in a drill string
US8209202B2 (en) * 2005-04-29 2012-06-26 Landmark Graphics Corporation Analysis of multiple assets in view of uncertainties
US7860696B2 (en) 2005-08-08 2010-12-28 Halliburton Energy Services, Inc. Methods and systems to predict rotary drill bit walk and to design rotary drill bits and other downhole tools
US7860693B2 (en) 2005-08-08 2010-12-28 Halliburton Energy Services, Inc. Methods and systems for designing and/or selecting drilling equipment using predictions of rotary drill bit walk
WO2007019472A1 (en) 2005-08-08 2007-02-15 Halliburton Energy Services, Inc. Methods and systems for design and/or selection of drilling equipment based on wellbore drilling simulations
US7599943B2 (en) * 2005-10-25 2009-10-06 Ods-Petrodata, Inc. System for acquiring rights to lease a drilling rig
US7599940B2 (en) * 2005-10-25 2009-10-06 Ods-Petrodata, Inc. System for acquiring rights to lease an offshore support vessel
US7603295B2 (en) * 2005-10-25 2009-10-13 Ods-Petrodata, Inc. Method for acquiring rights to lease a drilling rig
US7603364B2 (en) * 2005-10-25 2009-10-13 Ods-Petrodata, Inc. System for acquiring rights to lease a floating production system
US8065238B2 (en) * 2005-12-02 2011-11-22 Lincoln Global, Inc. Performing robust cost analysis of a gas laser application
US20070185696A1 (en) * 2006-02-06 2007-08-09 Smith International, Inc. Method of real-time drilling simulation
US7599797B2 (en) * 2006-02-09 2009-10-06 Schlumberger Technology Corporation Method of mitigating risk of well collision in a field
US8812334B2 (en) 2006-02-27 2014-08-19 Schlumberger Technology Corporation Well planning system and method
US7650267B1 (en) 2006-03-31 2010-01-19 Rockwell Automation Technologies, Inc. Distribution of DES replications in a simulation
US20070272407A1 (en) * 2006-05-25 2007-11-29 Halliburton Energy Services, Inc. Method and system for development of naturally fractured formations
GB0613540D0 (en) * 2006-07-07 2006-08-16 Tauro Peter F Virtual reality holographic drilling (vr-hd)
US8670963B2 (en) * 2006-07-20 2014-03-11 Smith International, Inc. Method of selecting drill bits
US7778859B2 (en) * 2006-08-28 2010-08-17 Schlumberger Technology Corporation Method for economic valuation in seismic to simulation workflows
US7472022B2 (en) * 2006-08-31 2008-12-30 Schlumberger Technology Corporation Method and system for managing a drilling operation in a multicomponent particulate system
US9359882B2 (en) 2006-09-27 2016-06-07 Halliburton Energy Services, Inc. Monitor and control of directional drilling operations and simulations
CA3097158C (en) * 2006-09-27 2022-05-31 Halliburton Energy Services, Inc. Monitor and control of directional drilling operations and simulations
US7857047B2 (en) * 2006-11-02 2010-12-28 Exxonmobil Upstream Research Company Method of drilling and producing hydrocarbons from subsurface formations
US11725494B2 (en) 2006-12-07 2023-08-15 Nabors Drilling Technologies Usa, Inc. Method and apparatus for automatically modifying a drilling path in response to a reversal of a predicted trend
US8672055B2 (en) 2006-12-07 2014-03-18 Canrig Drilling Technology Ltd. Automated directional drilling apparatus and methods
CA2671822C (en) * 2006-12-07 2013-08-27 Nabors Global Holdings, Ltd. Automated mse-based drilling apparatus and methods
US7823655B2 (en) * 2007-09-21 2010-11-02 Canrig Drilling Technology Ltd. Directional drilling control
US8346695B2 (en) * 2007-03-29 2013-01-01 Schlumberger Technology Corporation System and method for multiple volume segmentation
US8285531B2 (en) * 2007-04-19 2012-10-09 Smith International, Inc. Neural net for use in drilling simulation
US20080314641A1 (en) * 2007-06-20 2008-12-25 Mcclard Kevin Directional Drilling System and Software Method
US20090076873A1 (en) * 2007-09-19 2009-03-19 General Electric Company Method and system to improve engineered system decisions and transfer risk
US7996327B2 (en) * 2007-09-28 2011-08-09 Diversey, Inc. Product efficiency calculator system and method
US20110161133A1 (en) * 2007-09-29 2011-06-30 Schlumberger Technology Corporation Planning and Performing Drilling Operations
CA2703376C (en) * 2007-10-30 2015-04-07 Bp Corporation North America Inc. An intelligent drilling advisor
US8121971B2 (en) * 2007-10-30 2012-02-21 Bp Corporation North America Inc. Intelligent drilling advisor
US8274399B2 (en) * 2007-11-30 2012-09-25 Halliburton Energy Services Inc. Method and system for predicting performance of a drilling system having multiple cutting structures
BRPI0820128A2 (en) * 2007-12-17 2015-05-12 Prad Res & Dev Ltd Method to improve drilling performance, system, and article
CA2702968C (en) * 2007-12-21 2014-09-16 Nabors Global Holdings, Ltd. Integrated quill position and toolface orientation display
US8099267B2 (en) * 2008-01-11 2012-01-17 Schlumberger Technology Corporation Input deck migrator for simulators
US20090198505A1 (en) * 2008-02-05 2009-08-06 Peter Gipps Interactive path planning with dynamic costing
US8803878B2 (en) * 2008-03-28 2014-08-12 Schlumberger Technology Corporation Visualizing region growing in three dimensional voxel volumes
US8301383B2 (en) * 2008-06-02 2012-10-30 Schlumberger Technology Corporation Estimating in situ mechanical properties of sediments containing gas hydrates
US8862436B2 (en) * 2008-06-24 2014-10-14 Landmark Graphics Corporation Systems and methods for modeling wellbore trajectories
US8577613B2 (en) * 2008-07-01 2013-11-05 Schlumberger Technology Corporation Effective hydrocarbon reservoir exploration decision making
US20100078216A1 (en) * 2008-09-25 2010-04-01 Baker Hughes Incorporated Downhole vibration monitoring for reaming tools
WO2010039342A1 (en) * 2008-10-03 2010-04-08 Halliburton Energy Services Inc. Method and system for predicting performance of a drilling system
AU2009320119B2 (en) * 2008-11-03 2015-11-26 Schlumberger Technology B.V. Methods and apparatus for planning and dynamically updating sampling operations while drilling in a subterranean formation
US8528663B2 (en) * 2008-12-19 2013-09-10 Canrig Drilling Technology Ltd. Apparatus and methods for guiding toolface orientation
US8510081B2 (en) * 2009-02-20 2013-08-13 Canrig Drilling Technology Ltd. Drilling scorecard
GB2466812B (en) * 2009-01-08 2011-10-19 Schlumberger Holdings Drillstring dynamics
US8082104B2 (en) * 2009-01-23 2011-12-20 Varel International Ind., L.P. Method to determine rock properties from drilling logs
NO338750B1 (en) 2009-03-02 2016-10-17 Drilltronics Rig Systems As Method and system for automated drilling process control
US11157883B2 (en) * 2009-09-29 2021-10-26 The Boeing Company Step analysis process steps within a fleet performance optimization tool
CN101702273B (en) * 2009-11-10 2011-08-17 成都盛特石油装备模拟技术开发有限公司 Portable drilling simulation system
EP2534605B1 (en) 2010-02-12 2020-06-17 Exxonmobil Upstream Research Company Method and system for partitioning parallel simulation models
CN101761328B (en) * 2010-03-03 2013-01-02 北京科技大学 Stratum geology interface instrument drilling induction recognition system
WO2011112221A1 (en) 2010-03-12 2011-09-15 Exxonmobil Upstream Research Company Dynamic grouping of domain objects via smart groups
US8322217B2 (en) 2010-04-06 2012-12-04 Varel Europe S.A.S. Acoustic emission toughness testing for PDC, PCBN, or other hard or superhard material inserts
US9297731B2 (en) 2010-04-06 2016-03-29 Varel Europe S.A.S Acoustic emission toughness testing for PDC, PCBN, or other hard or superhard material inserts
US8596124B2 (en) 2010-04-06 2013-12-03 Varel International Ind., L.P. Acoustic emission toughness testing having smaller noise ratio
US9086348B2 (en) 2010-04-06 2015-07-21 Varel Europe S.A.S. Downhole acoustic emission formation sampling
US8397572B2 (en) 2010-04-06 2013-03-19 Varel Europe S.A.S. Acoustic emission toughness testing for PDC, PCBN, or other hard or superhard materials
US8365599B2 (en) 2010-04-06 2013-02-05 Varel Europe S.A.S. Acoustic emission toughness testing for PDC, PCBN, or other hard or superhard materials
WO2011159307A1 (en) * 2010-06-18 2011-12-22 Landmark Graphics Corporation Systems and methods for wellbore optimization
US8332155B2 (en) 2010-09-13 2012-12-11 Chevron U.S.A. Inc. System and method for hydrocarbon gas pay zone characterization in a subterranean reservoir
AU2011356658B2 (en) 2011-01-26 2017-04-06 Exxonmobil Upstream Research Company Method of reservoir compartment analysis using topological structure in 3D earth model
US20120272174A1 (en) * 2011-04-21 2012-10-25 National Oilwell Varco, L.P. System and method for drilling a borehole using streaming reference data
US8902221B2 (en) * 2011-06-10 2014-12-02 Schlumberger Technology Corporation Prospect assessment and play chance mapping tools
US8749549B2 (en) * 2011-06-10 2014-06-10 Schlumberger Technology Corporation Prospect assessment and play chance mapping tools
US10227857B2 (en) 2011-08-29 2019-03-12 Baker Hughes, A Ge Company, Llc Modeling and simulation of complete drill strings
US9593567B2 (en) 2011-12-01 2017-03-14 National Oilwell Varco, L.P. Automated drilling system
US9157309B1 (en) 2011-12-22 2015-10-13 Hunt Advanced Drilling Technologies, LLC System and method for remotely controlled surface steerable drilling
US9297205B2 (en) 2011-12-22 2016-03-29 Hunt Advanced Drilling Technologies, LLC System and method for controlling a drilling path based on drift estimates
US9404356B2 (en) 2011-12-22 2016-08-02 Motive Drilling Technologies, Inc. System and method for remotely controlled surface steerable drilling
US8596385B2 (en) 2011-12-22 2013-12-03 Hunt Advanced Drilling Technologies, L.L.C. System and method for determining incremental progression between survey points while drilling
US11085283B2 (en) 2011-12-22 2021-08-10 Motive Drilling Technologies, Inc. System and method for surface steerable drilling using tactical tracking
US8210283B1 (en) 2011-12-22 2012-07-03 Hunt Energy Enterprises, L.L.C. System and method for surface steerable drilling
CN102562052B (en) * 2012-02-26 2016-02-03 中国石油天然气集团公司 Method for recognizing harm bodies of casing failure of shallow layer of close well spacing
US9953114B2 (en) 2012-03-27 2018-04-24 Exxonmobil Upstream Research Company Designing a drillstring
US9249059B2 (en) 2012-04-05 2016-02-02 Varel International Ind., L.P. High temperature high heating rate treatment of PDC cutters
US9057258B2 (en) 2012-05-09 2015-06-16 Hunt Advanced Drilling Technologies, LLC System and method for using controlled vibrations for borehole communications
US8517093B1 (en) 2012-05-09 2013-08-27 Hunt Advanced Drilling Technologies, L.L.C. System and method for drilling hammer communication, formation evaluation and drilling optimization
US9982532B2 (en) 2012-05-09 2018-05-29 Hunt Energy Enterprises, L.L.C. System and method for controlling linear movement using a tapered MR valve
US9465140B2 (en) 2012-06-22 2016-10-11 Exxonmobil Upstream Research Company Petrophysical method for predicting shear strength anisotropy in fine-grained rock formations
PE20150512A1 (en) 2012-07-06 2015-04-30 Tech Resources Pty Ltd A METHOD OF, AND A SYSTEM FOR, DRILLING AT A POSITION RELATIVE TO A GEOLOGICAL LIMIT
US9411071B2 (en) 2012-08-31 2016-08-09 Exxonmobil Upstream Research Company Method of estimating rock mechanical properties
US9309747B2 (en) * 2012-09-14 2016-04-12 Baker Hughes Incorporated System and method for generating profile-based alerts/alarms
US9022140B2 (en) 2012-10-31 2015-05-05 Resource Energy Solutions Inc. Methods and systems for improved drilling operations using real-time and historical drilling data
US9290995B2 (en) 2012-12-07 2016-03-22 Canrig Drilling Technology Ltd. Drill string oscillation methods
US20140214476A1 (en) * 2013-01-31 2014-07-31 Halliburton Energy Services, Inc. Data initialization for a subterranean operation
US20140297235A1 (en) * 2013-01-31 2014-10-02 Betazi, Llc Production analysis and/or forecasting methods, apparatus, and systems
WO2014200685A2 (en) 2013-06-10 2014-12-18 Exxonmobil Upstream Research Company Interactively planning a well site
EP2816194A1 (en) * 2013-06-19 2014-12-24 Siemens Aktiengesellschaft Method for performing a deep drilling process
US8818729B1 (en) 2013-06-24 2014-08-26 Hunt Advanced Drilling Technologies, LLC System and method for formation detection and evaluation
US10920576B2 (en) 2013-06-24 2021-02-16 Motive Drilling Technologies, Inc. System and method for determining BHA position during lateral drilling
US8996396B2 (en) 2013-06-26 2015-03-31 Hunt Advanced Drilling Technologies, LLC System and method for defining a drilling path based on cost
US10180045B2 (en) 2013-09-06 2019-01-15 Smith International, Inc. System and method of selecting a drill bit and modifying a drill bit design
US9864098B2 (en) 2013-09-30 2018-01-09 Exxonmobil Upstream Research Company Method and system of interactive drill center and well planning evaluation and optimization
WO2015053876A1 (en) 2013-10-08 2015-04-16 Exxonmobil Upstream Research Company Automatic dip picking from wellbore azimuthal image logs
EP3039230A4 (en) 2013-10-08 2018-02-28 Landmark Graphics Corporation Predefining elements of a cemented wellbore
US9995129B2 (en) * 2013-10-21 2018-06-12 Halliburton Energy Services, Inc. Drilling automation using stochastic optimal control
US20150185363A1 (en) * 2013-12-26 2015-07-02 Baker Hughes Incorporated Data visualization in borehole systems
US9556728B2 (en) 2014-01-13 2017-01-31 Varel Europe S.A.S. Methods and systems of analyzing wellbore drilling operations
CA2934610C (en) * 2014-01-30 2021-03-30 Landmark Graphics Corporation Depth range manager for drill string analysis
EP3069221B1 (en) * 2014-01-30 2019-04-03 Landmark Graphics Corporation Smart grouping legend
CN106415497A (en) 2014-02-24 2017-02-15 界标制图有限公司 Total asset modeling with integrated asset models and persistent asset models
US10062044B2 (en) * 2014-04-12 2018-08-28 Schlumberger Technology Corporation Method and system for prioritizing and allocating well operating tasks
US11106185B2 (en) 2014-06-25 2021-08-31 Motive Drilling Technologies, Inc. System and method for surface steerable drilling to provide formation mechanical analysis
US9428961B2 (en) 2014-06-25 2016-08-30 Motive Drilling Technologies, Inc. Surface steerable drilling system for use with rotary steerable system
CA2959497C (en) 2014-08-28 2022-11-22 Schlumberger Canada Limited Method and system for directional drilling
EP3186478B1 (en) * 2014-08-29 2020-08-05 Landmark Graphics Corporation Directional driller quality reporting system and method
AU2015327808B2 (en) * 2014-10-02 2018-11-08 Motive Drilling Technologies, Inc. Surface steerable drilling system for use with rotary steerable system
US9890633B2 (en) 2014-10-20 2018-02-13 Hunt Energy Enterprises, Llc System and method for dual telemetry acoustic noise reduction
US10920536B2 (en) * 2014-11-04 2021-02-16 Schlumberger Technology Corporation Methods and systems for designing drilling systems
CN106795753A (en) 2014-11-20 2017-05-31 哈利伯顿能源服务公司 Earth formation break-up model
US10094209B2 (en) 2014-11-26 2018-10-09 Nabors Drilling Technologies Usa, Inc. Drill pipe oscillation regime for slide drilling
CN104933922B (en) * 2015-01-22 2018-01-12 中国石油技术开发公司 A kind of rig installs simulation system
US9784035B2 (en) 2015-02-17 2017-10-10 Nabors Drilling Technologies Usa, Inc. Drill pipe oscillation regime and torque controller for slide drilling
CN104806226B (en) * 2015-04-30 2018-08-17 北京四利通控制技术股份有限公司 intelligent drilling expert system
WO2016183219A1 (en) 2015-05-11 2016-11-17 Smith International, Inc. Method of testing cutting elements using intermittent cut of material
US10920538B2 (en) 2015-08-07 2021-02-16 Schlumberger Technology Corporation Method integrating fracture and reservoir operations into geomechanical operations of a wellsite
WO2017027068A1 (en) * 2015-08-07 2017-02-16 Schlumberger Technology Corporation Well management on cloud computing system
WO2017027433A1 (en) 2015-08-07 2017-02-16 Schlumberger Technology Corporation Method of performing integrated fracture and reservoir operations for multiple wellbores at a wellsite
US10215001B1 (en) 2015-09-28 2019-02-26 Hongfeng Bi High pressure high temperature drilling simulator
CA2915802A1 (en) * 2015-12-18 2017-06-18 Objectivity.Ca Explorative sampling of natural mineral resource deposits
US10482202B2 (en) 2016-06-30 2019-11-19 The Procter & Gamble Company Method for modeling a manufacturing process for a product
GB2566403B (en) * 2016-07-07 2021-12-22 Nat Oilwell Varco Norway As Systems and methods for managing fluid pressure in a borehole during drilling operations
US11933158B2 (en) 2016-09-02 2024-03-19 Motive Drilling Technologies, Inc. System and method for mag ranging drilling control
MY197266A (en) * 2016-12-07 2023-06-08 Safekick Americas Llc Automated model-based drilling
US10378282B2 (en) 2017-03-10 2019-08-13 Nabors Drilling Technologies Usa, Inc. Dynamic friction drill string oscillation systems and methods
TWI626622B (en) * 2017-07-04 2018-06-11 System and method for stereoscopic imaging of underground rock formation characteristics
US10968730B2 (en) * 2017-07-25 2021-04-06 Exxonmobil Upstream Research Company Method of optimizing drilling ramp-up
US10502043B2 (en) * 2017-07-26 2019-12-10 Nabors Drilling Technologies Usa, Inc. Methods and devices to perform offset surveys
CN107288562B (en) * 2017-07-26 2019-04-19 武汉轻工大学 Gas lift reverse circulation borehole cleaning experiment simulator
CA3071027A1 (en) 2017-08-10 2019-02-14 Motive Drilling Technologies, Inc. Apparatus and methods for automated slide drilling
US10830033B2 (en) 2017-08-10 2020-11-10 Motive Drilling Technologies, Inc. Apparatus and methods for uninterrupted drilling
CA3069128C (en) 2017-08-14 2022-01-25 Exxonmobil Upstream Research Company Methods of drilling a wellbore within a subsurface region and drilling control systems that perform the methods
US20190138970A1 (en) * 2017-11-07 2019-05-09 General Electric Company Contextual digital twin
CN109812236B (en) * 2017-11-22 2021-01-29 中国石油化工股份有限公司 Method for determining well cleaning effect in special-shaped well
US10570707B2 (en) * 2017-12-21 2020-02-25 Exebenus AS Method and system for archiving a plurality of individual data files from an oil well in an indexed manner
EP3740643A4 (en) 2018-01-19 2021-10-20 Motive Drilling Technologies, Inc. System and method for analysis and control of drilling mud and additives
US11346215B2 (en) 2018-01-23 2022-05-31 Baker Hughes Holdings Llc Methods of evaluating drilling performance, methods of improving drilling performance, and related systems for drilling using such methods
US11098573B2 (en) * 2018-03-13 2021-08-24 Nabors Drilling Technologies Usa, Inc. Systems and methods for estimating drill bit rotational velocity using top drive torque and rotational velocity
WO2019226149A1 (en) 2018-05-21 2019-11-28 Newpark Drilling Fluids Llc System for simulating in situ downhole drilling conditions and testing of core samples
WO2020046512A1 (en) * 2018-08-31 2020-03-05 Halliburton Energy Services, Inc. Autonomous directional drilling directional tendency estimation
US10808517B2 (en) 2018-12-17 2020-10-20 Baker Hughes Holdings Llc Earth-boring systems and methods for controlling earth-boring systems
RU2697988C1 (en) * 2019-01-29 2019-08-21 Общество с ограниченной ответственностью "ВНИИБТ-Буровой инструмент" (ООО "ВНИИБТ-Буровой инструмент") Method and system for automated control of well drilling
US11313217B2 (en) * 2019-02-12 2022-04-26 Helmerich & Payne Technologies, Llc Systems and methods of iterative well planning for optimized results
US11466556B2 (en) 2019-05-17 2022-10-11 Helmerich & Payne, Inc. Stall detection and recovery for mud motors
US11828155B2 (en) 2019-05-21 2023-11-28 Schlumberger Technology Corporation Drilling control
US11663542B2 (en) * 2019-11-07 2023-05-30 Clay Rankin Electronic knowledge creation and management visual transformation tool
US11867054B2 (en) 2020-05-11 2024-01-09 Saudi Arabian Oil Company Systems and methods for estimating well parameters and drilling wells
US20220145745A1 (en) * 2020-11-12 2022-05-12 Schlumberger Technology Corporation Multi-agent drilling decision system and method
US11753926B2 (en) * 2021-07-01 2023-09-12 Saudi Arabian Oil Company Method and system for predicting caliper log data for descaled wells
US11885212B2 (en) 2021-07-16 2024-01-30 Helmerich & Payne Technologies, Llc Apparatus and methods for controlling drilling

Family Cites Families (111)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US703289A (en) * 1900-04-30 1902-06-24 Moore Electrolytic Company Process of producing caustic.
US1209299A (en) 1914-12-30 1916-12-19 Sharp Hughes Tool Company Rotary boring-drill.
US1263802A (en) 1917-08-13 1918-04-23 Clarence Edw Reed Boring-drill.
US1394769A (en) 1920-05-18 1921-10-25 C E Reed Drill-head for oil-wells
US3593807A (en) 1969-12-11 1971-07-20 Frank J Klima Drilling apparatus
US3660649A (en) * 1970-09-28 1972-05-02 Tenneco Oil Co Apparatus and method for computing drilling costs
US3752966A (en) 1971-05-28 1973-08-14 Santa Fe Int Corp Drill bit utilization optimizer
US3761701A (en) * 1971-07-14 1973-09-25 Amoco Prod Co Drilling cost indicator
US4354233A (en) 1972-05-03 1982-10-12 Zhukovsky Alexei A Rotary drill automatic control system
IT1021726B (en) 1973-10-09 1978-02-20 Tampella Oy Ab DRILLING SYSTEM FOR ROCK DRILLS AND DRILLING MACHINES FOR THE REALIZATION OF THIS SYSTEM
US3972966A (en) * 1975-01-21 1976-08-03 Universal Oil Products Company Apparatus for producing pulsed liquid flow in a distillation column
US4056153A (en) 1975-05-29 1977-11-01 Dresser Industries, Inc. Rotary rock bit with multiple row coverage for very hard formations
GB1515092A (en) 1976-02-25 1978-06-21 Schlumberger Ltd Shaly sand evaluation by gamma ray spectrometry
US4064749A (en) 1976-11-11 1977-12-27 Texaco Inc. Method and system for determining formation porosity
US4195699A (en) 1978-06-29 1980-04-01 United States Steel Corporation Drilling optimization searching and control method
SU1055863A1 (en) 1978-09-06 1983-11-23 Предприятие П/Я М-5973 Method and apparatus for controlling a drilling unit
AU554337B2 (en) * 1981-03-11 1986-08-14 Metalogic Control Ltd. Adaptive control of a dynamic system
EP0066255A1 (en) 1981-05-29 1982-12-08 Wankel GmbH External-axis rotary-piston blower
FR2520882A1 (en) 1982-02-02 1983-08-05 Schlumberger Prospection PROCESS FOR THE PRODUCTION OF A CHARACTERISTIC REGISTRATION IN PARTICULAR OF THE FACITIES OF GEOLOGICAL FORMATIONS CROSSED BY A SURVEY
DE3207012C2 (en) 1982-02-26 1984-08-30 Valentin V. Malachovka Moskovskaja oblast' &Zcaron;ilikov Method for controlling the drilling process when drilling in rock and device for carrying out the method
US4718011A (en) 1982-11-01 1988-01-05 Western Atlas International, Inc. Well logging data acquisition, telemetry and control method and system
US4903527A (en) 1984-01-26 1990-02-27 Schlumberger Technology Corp. Quantitative clay typing and lithological evaluation of subsurface formations
GB8411361D0 (en) 1984-05-03 1984-06-06 Schlumberger Cambridge Researc Assessment of drilling conditions
US4694686A (en) 1984-06-18 1987-09-22 Borg-Warner Corporation Cutting tool wear monitor
US4627276A (en) 1984-12-27 1986-12-09 Schlumberger Technology Corporation Method for measuring bit wear during drilling
US4794534A (en) * 1985-08-08 1988-12-27 Amoco Corporation Method of drilling a well utilizing predictive simulation with real time data
US4617825A (en) 1985-09-12 1986-10-21 Halliburton Company Well logging analysis methods for use in complex lithology reservoirs
US4966950A (en) * 1986-01-29 1990-10-30 E. I. Du Pont De Nemours & Co. Oriented polymeric tape
US4733733A (en) 1986-02-11 1988-03-29 Nl Industries, Inc. Method of controlling the direction of a drill bit in a borehole
GB2188354B (en) 1986-03-27 1989-11-22 Shell Int Research Rotary drill bit
US4793421A (en) 1986-04-08 1988-12-27 Becor Western Inc. Programmed automatic drill control
US4981037A (en) 1986-05-28 1991-01-01 Baroid Technology, Inc. Method for determining pore pressure and horizontal effective stress from overburden and effective vertical stresses
US4845628A (en) 1986-08-18 1989-07-04 Automated Decisions, Inc. Method for optimization of drilling costs
US4794535A (en) * 1986-08-18 1988-12-27 Automated Decisions, Inc. Method for determining economic drill bit utilization
US4916616A (en) 1986-12-08 1990-04-10 Bp Exploration, Inc. Self-consistent log interpretation method
FR2611804B1 (en) 1987-02-27 1989-06-16 Forex Neptune Sa METHOD FOR CONTROLLING WELL DRILLING OPERATIONS
FR2620819B1 (en) 1987-09-17 1993-06-18 Inst Francais Du Petrole METHOD OF DETERMINING THE WEAR OF A BIT DURING DRILLING
US4875530A (en) 1987-09-24 1989-10-24 Parker Technology, Inc. Automatic drilling system
US4914591A (en) 1988-03-25 1990-04-03 Amoco Corporation Method of determining rock compressive strength
US4876886A (en) 1988-04-04 1989-10-31 Anadrill, Inc. Method for detecting drilling events from measurement while drilling sensors
GB2217012B (en) 1988-04-05 1992-03-25 Forex Neptune Sa Method of determining drill bit wear
US4852399A (en) 1988-07-13 1989-08-01 Anadrill, Inc. Method for determining drilling conditions while drilling
US5012674A (en) 1988-10-31 1991-05-07 Amoco Corporation Method of exploration for hydrocarbons
US5042596A (en) 1989-02-21 1991-08-27 Amoco Corporation Imbalance compensated drill bit
CA1333282C (en) 1989-02-21 1994-11-29 J. Ford Brett Imbalance compensated drill bit
US5010789A (en) 1989-02-21 1991-04-30 Amoco Corporation Method of making imbalanced compensated drill bit
US5660239A (en) 1989-08-31 1997-08-26 Union Oil Company Of California Drag analysis method
GB2241266A (en) 1990-02-27 1991-08-28 Dresser Ind Intersection solution method for drill bit design
GB9004952D0 (en) 1990-03-06 1990-05-02 Univ Nottingham Drilling process and apparatus
US5239467A (en) 1990-05-21 1993-08-24 Amoco Corporation Method for enhancing geophysical data by nonlinear compression of the dynamic range
GB9015433D0 (en) 1990-07-13 1990-08-29 Anadrill Int Sa Method of determining the drilling conditions associated with the drilling of a formation with a drag bit
US5216612A (en) 1990-07-16 1993-06-01 R. J. Reynolds Tobacco Company Intelligent computer integrated maintenance system and method
US5205164A (en) 1990-08-31 1993-04-27 Exxon Production Research Company Methods for determining in situ shale strengths, elastic properties, pore pressures, formation stresses, and drilling fluid parameters
FI88744C (en) 1991-04-25 1993-06-28 Tamrock Oy For the purposes of this Regulation
US5334833A (en) 1991-06-14 1994-08-02 Schlumberger Technology Corporation Sensitivity function technique for modeling nuclear tools
JPH0562011A (en) * 1991-09-03 1993-03-12 Konica Corp Image processor
EP0539272B1 (en) 1991-10-21 1997-03-05 Schlumberger Limited Method and apparatus for detecting and quantifying hydrocarbon bearing laminated reservoirs on a workstation
US5369570A (en) 1991-11-14 1994-11-29 Parad; Harvey A. Method and system for continuous integrated resource management
NO930044L (en) 1992-01-09 1993-07-12 Baker Hughes Inc PROCEDURE FOR EVALUATION OF FORMS AND DRILL CONDITIONS
US5251286A (en) 1992-03-16 1993-10-05 Texaco, Inc. Method for estimating formation permeability from wireline logs using neural networks
US5305836A (en) 1992-04-08 1994-04-26 Baroid Technology, Inc. System and method for controlling drill bit usage and well plan
US5416697A (en) 1992-07-31 1995-05-16 Chevron Research And Technology Company Method for determining rock mechanical properties using electrical log data
US5282384A (en) 1992-10-05 1994-02-01 Baroid Technology, Inc. Method for calculating sedimentary rock pore pressure
US5474142A (en) 1993-04-19 1995-12-12 Bowden; Bobbie J. Automatic drilling system
US5330016A (en) 1993-05-07 1994-07-19 Barold Technology, Inc. Drill bit and other downhole tools having electro-negative surfaces and sacrificial anodes to reduce mud balling
US5442950A (en) 1993-10-18 1995-08-22 Saudi Arabian Oil Company Method and apparatus for determining properties of reservoir rock
US5456141A (en) 1993-11-12 1995-10-10 Ho; Hwa-Shan Method and system of trajectory prediction and control using PDC bits
US5605198A (en) 1993-12-09 1997-02-25 Baker Hughes Incorporated Stress related placement of engineered superabrasive cutting elements on rotary drag bits
US5449047A (en) 1994-09-07 1995-09-12 Ingersoll-Rand Company Automatic control of drilling system
US5845258A (en) 1995-06-16 1998-12-01 I2 Technologies, Inc. Strategy driven planning system and method of operation
US5539704A (en) 1995-06-23 1996-07-23 Western Atlas International, Inc. Bayesian sequential Gaussian simulation of lithology with non-linear data
US6408953B1 (en) 1996-03-25 2002-06-25 Halliburton Energy Services, Inc. Method and system for predicting performance of a drilling system for a given formation
US5794720A (en) 1996-03-25 1998-08-18 Dresser Industries, Inc. Method of assaying downhole occurrences and conditions
US6109368A (en) 1996-03-25 2000-08-29 Dresser Industries, Inc. Method and system for predicting performance of a drilling system for a given formation
US6612382B2 (en) * 1996-03-25 2003-09-02 Halliburton Energy Services, Inc. Iterative drilling simulation process for enhanced economic decision making
US5767399A (en) 1996-03-25 1998-06-16 Dresser Industries, Inc. Method of assaying compressive strength of rock
US5704436A (en) 1996-03-25 1998-01-06 Dresser Industries, Inc. Method of regulating drilling conditions applied to a well bit
US7032689B2 (en) 1996-03-25 2006-04-25 Halliburton Energy Services, Inc. Method and system for predicting performance of a drilling system of a given formation
US5963910A (en) 1996-09-20 1999-10-05 Ulwick; Anthony W. Computer based process for strategy evaluation and optimization based on customer desired outcomes and predictive metrics
US6161634A (en) 1997-09-04 2000-12-19 Minikus; James C. Cutter element with non-rectilinear crest
US6155357A (en) 1997-09-23 2000-12-05 Noble Drilling Services, Inc. Method of and system for optimizing rate of penetration in drilling operations
US6026912A (en) 1998-04-02 2000-02-22 Noble Drilling Services, Inc. Method of and system for optimizing rate of penetration in drilling operations
US6044327A (en) 1997-11-13 2000-03-28 Dresser Industries, Inc. Method for quantifying the lithologic composition of formations surrounding earth boreholes
US6233498B1 (en) 1998-03-05 2001-05-15 Noble Drilling Services, Inc. Method of and system for increasing drilling efficiency
US5965810A (en) 1998-05-01 1999-10-12 Baroid Technology, Inc. Method for determining sedimentary rock pore pressure caused by effective stress unloading
US6052649A (en) 1998-05-18 2000-04-18 Dresser Industries, Inc. Method and apparatus for quantifying shale plasticity from well logs
WO2000012859A2 (en) * 1998-08-31 2000-03-09 Halliburton Energy Services, Inc. Force-balanced roller-cone bits, systems, drilling methods, and design methods
ID28893A (en) * 1998-08-31 2001-07-12 Halliburton Energy Serv Inc DRILLING METHOD, SYSTEM, EYE BINDER, AND DESIGN METHOD USING DENTAL ORIENTATION OPTIMIZATION
US6169967B1 (en) 1998-09-04 2001-01-02 Dresser Industries, Inc. Cascade method and apparatus for providing engineered solutions for a well programming process
US6345673B1 (en) 1998-11-20 2002-02-12 Smith International, Inc. High offset bits with super-abrasive cutters
DE60006647T2 (en) * 1999-01-13 2004-09-30 Vermeer Mfg. Co., Pella AUTOMATED DRILL PLANNING PROCESS AND DEVICE FOR HORIZONTAL DIRECTION DRILLING
US6276465B1 (en) 1999-02-24 2001-08-21 Baker Hughes Incorporated Method and apparatus for determining potential for drill bit performance
GB2332227B (en) * 1999-03-03 1999-11-10 Peter Richard Paul Cunningham Optimising well numbers in oil and gas fields
DE19946850A1 (en) * 1999-09-30 2001-04-05 Hella Kg Hueck & Co Lighting equipment for vehicles
GB2354852B (en) 1999-10-01 2001-11-28 Schlumberger Holdings Method for updating an earth model using measurements gathered during borehole construction
US6349595B1 (en) 1999-10-04 2002-02-26 Smith International, Inc. Method for optimizing drill bit design parameters
WO2001033027A2 (en) 1999-11-03 2001-05-10 Halliburton Energy Services, Inc. Method for optimizing the bit design for a well bore
US6516293B1 (en) 2000-03-13 2003-02-04 Smith International, Inc. Method for simulating drilling of roller cone bits and its application to roller cone bit design and performance
GB2370059B (en) 2000-03-13 2003-04-09 Smith International Method for simulating drilling of roller cone bits and its application to roller cone bit design and performance
CA2340547C (en) 2000-03-13 2005-12-13 Smith International, Inc. Method for simulating drilling of roller cone bits and its application to roller cone bit design and performance
US6785641B1 (en) 2000-10-11 2004-08-31 Smith International, Inc. Simulating the dynamic response of a drilling tool assembly and its application to drilling tool assembly design optimization and drilling performance optimization
US6637527B1 (en) 2000-06-08 2003-10-28 Smith International, Inc. Cutting structure for roller cone drill bits
US6601660B1 (en) 2000-06-08 2003-08-05 Smith International, Inc. Cutting structure for roller cone drill bits
GB2371321B (en) 2000-06-08 2002-12-11 Smith International Cutting structure for roller cone drill bits
US6612384B1 (en) 2000-06-08 2003-09-02 Smith International, Inc. Cutting structure for roller cone drill bits
US6424919B1 (en) 2000-06-26 2002-07-23 Smith International, Inc. Method for determining preferred drill bit design parameters and drilling parameters using a trained artificial neural network, and methods for training the artificial neural network
US6530441B1 (en) 2000-06-27 2003-03-11 Smith International, Inc. Cutting element geometry for roller cone drill bit
US6527068B1 (en) 2000-08-16 2003-03-04 Smith International, Inc. Roller cone drill bit having non-axisymmetric cutting elements oriented to optimize drilling performance
GB2371366B (en) * 2000-08-28 2004-05-26 Halliburton Energy Serv Inc Method and system for predicting performance of a drilling system for a given formation
US6732052B2 (en) * 2000-09-29 2004-05-04 Baker Hughes Incorporated Method and apparatus for prediction control in drilling dynamics using neural networks
US7003439B2 (en) * 2001-01-30 2006-02-21 Schlumberger Technology Corporation Interactive method for real-time displaying, querying and forecasting drilling event and hazard information

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10875209B2 (en) 2017-06-19 2020-12-29 Nuwave Industries Inc. Waterjet cutting tool
US20220051318A1 (en) * 2020-08-11 2022-02-17 Hitachi, Ltd. Supply and demand matching within an exchange market for anticipative demand from early signals
US11521266B2 (en) * 2020-08-11 2022-12-06 Hitachi, Ltd. Supply and demand matching within an exchange market for anticipative demand from early signals

Also Published As

Publication number Publication date
GB2378017B (en) 2005-03-16
BR0200873A (en) 2003-12-02
US6612382B2 (en) 2003-09-02
NL1033703C (en) 2010-04-22
US20010042642A1 (en) 2001-11-22
US20040000430A1 (en) 2004-01-01
FR2823581B1 (en) 2009-04-24
GB0206350D0 (en) 2002-05-01
NL1025862A1 (en) 2004-07-28
US7085696B2 (en) 2006-08-01
US20050149306A1 (en) 2005-07-07
NL1025862C2 (en) 2007-05-02
NO20021513D0 (en) 2002-03-26
NO333726B1 (en) 2013-09-02
NL1020253A1 (en) 2002-10-03
FR2930359A1 (en) 2009-10-23
NO20021513L (en) 2002-09-30
NL1033703A1 (en) 2007-06-06
CA2369669C (en) 2014-05-27
GB2378017A (en) 2003-01-29
NL1020253C2 (en) 2004-04-20
NO20131030L (en) 2002-09-30
FR2823581A1 (en) 2002-10-18

Similar Documents

Publication Publication Date Title
CA2369669A1 (en) Iterative drilling simulation process for enhanced economic decision making
US8949098B2 (en) Iterative drilling simulation process for enhanced economic decision making
CN101305159B (en) Method of drilling and producing hydrocarbons from subsurface formations
US7258175B2 (en) Method and apparatus and program storage device adapted for automatic drill bit selection based on earth properties and wellbore geometry
US7857047B2 (en) Method of drilling and producing hydrocarbons from subsurface formations
Polsky et al. Enhanced geothermal systems (EGS) well construction technology evaluation report
US20050211468A1 (en) Method and apparatus and program storage device adapted for automatic drill string design based on wellbore geometry and trajectory requirements
CA2560062A1 (en) Method and apparatus and program storage device adapted for visualization of qualitative and quantitative risk assessment based on technical wellbore design and earth properties
CA2578086A1 (en) Well planning using monte carlo simulation software based on time and cost data
EP1728206A1 (en) Method and apparatus and program storage device adapted for visualization of qualitative and quantitative risk assessment based on technical wellbore design and earth properties
EP2788574A2 (en) Method for assessing the performance of a drill bit configuration, and for comparing the performance of different drill bit configurations for drilling similar rock formations
GB2458356A (en) Oilfield well planning and operation
US11640012B2 (en) Virtual high-density well survey
NL2004563C2 (en) ITERATIVE DRILL SIMULATION METHOD FOR IMPROVED ECONOMIC DECISION-MAKING.
Al-Ghamdi et al. SS: Delivering the Largest Oil Increment in the World-Innovation Solutions and Rewards
Mikalsen Analysis of drilled wells on the Norwegian Continental Shelf (NCS)
Gyllensten et al. Data Acquisition and Drilling Optimization in a Real Time Operating Environment.
Greenwood Drilling Optimization Methodology Connects 20+ Technical Disciplines
Huh et al. Enhanced Geothermal Systems (EGS) well construction technology evaluation report.

Legal Events

Date Code Title Description
EEER Examination request
MKLA Lapsed

Effective date: 20180129