AR103089A1 - Generación de modelos para predicción de tasa de penetración en tiempo real - Google Patents

Generación de modelos para predicción de tasa de penetración en tiempo real

Info

Publication number
AR103089A1
AR103089A1 ARP150104164A ARP150104164A AR103089A1 AR 103089 A1 AR103089 A1 AR 103089A1 AR P150104164 A ARP150104164 A AR P150104164A AR P150104164 A ARP150104164 A AR P150104164A AR 103089 A1 AR103089 A1 AR 103089A1
Authority
AR
Argentina
Prior art keywords
penetration rate
real
model generation
rate prediction
data sets
Prior art date
Application number
ARP150104164A
Other languages
English (en)
Inventor
Toti Giulia
Ai T Tran Nhon
Dursun Serkan
Original Assignee
Landmark Graphics Corp
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
Application filed by Landmark Graphics Corp filed Critical Landmark Graphics Corp
Publication of AR103089A1 publication Critical patent/AR103089A1/es

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH OR ROCK DRILLING; MINING
    • E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B44/00—Automatic 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
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH OR ROCK DRILLING; MINING
    • E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B41/00—Equipment or details not covered by groups E21B15/00 - E21B40/00
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH OR ROCK DRILLING; MINING
    • E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B44/00—Automatic 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
    • E21B44/02—Automatic control of the tool feed
    • E21B44/04—Automatic control of the tool feed in response to the torque of the drive ; Measuring drilling torque
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH OR ROCK DRILLING; MINING
    • E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B45/00—Measuring the drilling time or rate of penetration
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH OR ROCK DRILLING; MINING
    • E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B47/00—Survey of boreholes or wells
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44—Arrangements for executing specific programs
    • G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06G—ANALOGUE COMPUTERS
    • G06G7/00—Devices in which the computing operation is performed by varying electric or magnetic quantities
    • G06G7/48—Analogue computers for specific processes, systems or devices, e.g. simulators
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/042—Knowledge-based neural networks; Logical representations of neural networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Geology (AREA)
  • Mining & Mineral Resources (AREA)
  • Theoretical Computer Science (AREA)
  • Software Systems (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Fluid Mechanics (AREA)
  • Geochemistry & Mineralogy (AREA)
  • Environmental & Geological Engineering (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Data Mining & Analysis (AREA)
  • Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Computational Linguistics (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Artificial Intelligence (AREA)
  • Computing Systems (AREA)
  • Geophysics (AREA)
  • Computer Hardware Design (AREA)
  • Earth Drilling (AREA)
  • Operations Research (AREA)
  • Geophysics And Detection Of Objects (AREA)
  • Other Investigation Or Analysis Of Materials By Electrical Means (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
  • Investigation Of Foundation Soil And Reinforcement Of Foundation Soil By Compacting Or Drainage (AREA)

Abstract

Un ejemplo de método incluye recibir conjuntos de datos en bruto que contienen valores de condiciones operativas y parámetros de perforación generados durante operaciones de perforación subterráneas. Los conjuntos de datos en bruto pueden separarse en conjuntos de datos de aprendizaje en función, al menos parcialmente, de los tipos de operaciones de perforación subterráneas. Puede generarse al menos un modelo predictivo en función, al menos parcialmente, de al menos un conjunto de datos de aprendizaje. El al menos un modelo predictivo puede determinar una velocidad de penetración (ROP) para una operación de perforación del mismo tipo al que corresponde el al menos un conjunto de datos de aprendizaje.
ARP150104164A 2015-04-01 2015-12-17 Generación de modelos para predicción de tasa de penetración en tiempo real AR103089A1 (es)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/US2015/023802 WO2016160005A1 (en) 2015-04-01 2015-04-01 Model generation for real-time rate of penetration prediction

Publications (1)

Publication Number Publication Date
AR103089A1 true AR103089A1 (es) 2017-04-12

Family

ID=57006273

Family Applications (1)

Application Number Title Priority Date Filing Date
ARP150104164A AR103089A1 (es) 2015-04-01 2015-12-17 Generación de modelos para predicción de tasa de penetración en tiempo real

Country Status (7)

Country Link
US (1) US10657441B2 (es)
AR (1) AR103089A1 (es)
AU (1) AU2015390077A1 (es)
CA (1) CA2977943C (es)
GB (1) GB2550806B (es)
NO (1) NO20171410A1 (es)
WO (1) WO2016160005A1 (es)

Families Citing this family (36)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
FR3034546A1 (es) * 2015-04-01 2016-10-07 Landmark Graphics Corp
US10657441B2 (en) 2015-04-01 2020-05-19 Landmark Graphics Corporation Model generation for real-time rate of penetration prediction
US11615310B2 (en) * 2016-05-20 2023-03-28 Deepmind Technologies Limited Training machine learning models by determining update rules using recurrent neural networks
US10036219B1 (en) 2017-02-01 2018-07-31 Chevron U.S.A. Inc. Systems and methods for well control using pressure prediction
US20220284330A1 (en) * 2017-02-28 2022-09-08 Intellicess, Inc. Cleansing of drilling sensor readings
US10782939B2 (en) * 2017-08-07 2020-09-22 Microsoft Technology Licensing, Llc Program predictor
AU2018317919A1 (en) * 2017-08-18 2020-01-30 Landmark Graphics Corporation Rate of penetration optimization for wellbores using machine learning
WO2019040039A1 (en) * 2017-08-21 2019-02-28 Landmark Graphics Corporation REAL-TIME ITERATIVE ORIENTATION OF A THÉPAN
WO2019118055A1 (en) * 2017-12-11 2019-06-20 Landmark Graphics Corporation Simulated annealing accelerated optimization for real-time drilling
US11286766B2 (en) 2017-12-23 2022-03-29 Noetic Technologies Inc. System and method for optimizing tubular running operations using real-time measurements and modelling
WO2019147967A1 (en) * 2018-01-26 2019-08-01 Ge Inspection Technologies, Lp Optimization of rate-of-penetration
WO2019147297A1 (en) * 2018-01-29 2019-08-01 Landmark Graphics Corporation Controlling range constraints for real-time drilling
US11066917B2 (en) * 2018-05-10 2021-07-20 Baker Hughes Holdings Llc Earth-boring tool rate of penetration and wear prediction system and related methods
US11215033B2 (en) * 2018-05-16 2022-01-04 Saudi Arabian Oil Company Drilling trouble prediction using stand-pipe-pressure real-time estimation
WO2020010297A1 (en) * 2018-07-05 2020-01-09 Schlumberger Technology Corporation Geological interpretation with artificial intelligence
DE202018003585U1 (de) * 2018-08-01 2019-11-06 Leybold Gmbh Vakuumpumpe
US11396804B2 (en) 2018-08-30 2022-07-26 Landmark Graphics Corporation Automated rate of penetration optimization for drilling
WO2020148810A1 (ja) * 2019-01-15 2020-07-23 株式会社ソニー・インタラクティブエンタテインメント 情報処理装置
US11663519B2 (en) * 2019-04-29 2023-05-30 International Business Machines Corporation Adjusting training data for a machine learning processor
US11674384B2 (en) * 2019-05-20 2023-06-13 Schlumberger Technology Corporation Controller optimization via reinforcement learning on asset avatar
US11982171B2 (en) 2019-08-23 2024-05-14 Landmark Graphics Corporation Active reinforcement learning for drilling optimization and automation
FR3102277B1 (fr) * 2019-10-17 2021-09-17 Continental Automotive Préparation de jeu de données pour un apprentissage automatique multi-agents
US11704579B2 (en) * 2020-04-17 2023-07-18 Quantic Energy Solutions Llo Earth modeling methods using machine learning
US11643918B2 (en) * 2020-05-26 2023-05-09 Landmark Graphics Corporation Real-time wellbore drilling with data quality control
US11697985B2 (en) 2020-12-03 2023-07-11 Caterpillar Inc. Automated hydraulic fracturing operation
US20220178240A1 (en) * 2020-12-04 2022-06-09 Saudi Arabian Oil Company Rate of penetration (rop) optimization advisory system
US11668177B2 (en) * 2021-02-24 2023-06-06 Saudi Arabian Oil Company Predicting formation tops at the bit using machine learning
CN112922582B (zh) * 2021-03-15 2022-03-11 西南石油大学 基于高斯过程回归的气井井口油嘴气体流量分析预测方法
US11578596B2 (en) 2021-07-08 2023-02-14 Saudi Arabian Oil Company Constrained natural fracture parameter hydrocarbon reservoir development
CN113494286B (zh) * 2021-07-28 2023-02-28 中国地质大学（武汉） 一种地质钻进过程钻速智能动态预测方法及系统
US11892591B2 (en) * 2021-08-23 2024-02-06 Visuray Intech Ltd (Bvi) Method for predicting cased wellbore characteristics using machine learning
WO2023067391A1 (en) 2021-10-22 2023-04-27 Exebenus AS System and method for predicting and optimizing drilling parameters
US20230140905A1 (en) * 2021-11-08 2023-05-11 Conocophillips Company Systems and methods for completion optimization for waterflood assets
CN114215499B (zh) * 2021-11-15 2024-01-26 西安石油大学 一种基于智能算法的钻井参数优选的方法
US12044117B2 (en) 2022-03-03 2024-07-23 Halliburton Energy Services, Inc. Methods for estimating downhole weight on bit and rate of penetration using acceleration measurements
US20230304389A1 (en) * 2022-03-23 2023-09-28 Chevron U.S.A. Inc. Systems And Method For Creating A Predictive Model For Optimizing Drill Parameters

Family Cites Families (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6026912A (en) * 1998-04-02 2000-02-22 Noble Drilling Services, Inc. Method of and system for optimizing rate of penetration in drilling operations
US7539625B2 (en) * 2004-03-17 2009-05-26 Schlumberger Technology Corporation Method and apparatus and program storage device including an integrated well planning workflow control system with process dependencies
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
US20060100836A1 (en) 2004-11-09 2006-05-11 Amardeep Singh Performance forecasting and bit selection tool for drill bits
US20070185696A1 (en) 2006-02-06 2007-08-09 Smith International, Inc. Method of real-time drilling simulation
US8170800B2 (en) * 2009-03-16 2012-05-01 Verdande Technology As Method and system for monitoring a drilling operation
MX2014005338A (es) 2011-11-02 2014-05-28 Landmark Graphics Corp Metodo y sistema para predecir un evento de atasco de tuberia en una sarta de perforacion.
US9934338B2 (en) 2012-06-11 2018-04-03 Landmark Graphics Corporation Methods and related systems of building models and predicting operational outcomes of a drilling operation
WO2014011171A1 (en) * 2012-07-12 2014-01-16 Halliburton Energy Services, Inc. Systems and methods of drilling control
US9262713B2 (en) * 2012-09-05 2016-02-16 Carbo Ceramics Inc. Wellbore completion and hydraulic fracturing optimization methods and associated systems
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
US9085958B2 (en) * 2013-09-19 2015-07-21 Sas Institute Inc. Control variable determination to maximize a drilling rate of penetration
US10657441B2 (en) 2015-04-01 2020-05-19 Landmark Graphics Corporation Model generation for real-time rate of penetration prediction

Also Published As

Publication number Publication date
GB2550806A (en) 2017-11-29
US20180025269A1 (en) 2018-01-25
NO20171410A1 (en) 2017-08-31
CA2977943A1 (en) 2016-10-06
GB2550806B (en) 2021-01-20
GB201713758D0 (en) 2017-10-11
WO2016160005A1 (en) 2016-10-06
AU2015390077A1 (en) 2017-09-21
CA2977943C (en) 2021-04-13
US10657441B2 (en) 2020-05-19

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