MX361510B - Control de determinación variable para maximizar una tasa de perforación de penetración. - Google Patents

Control de determinación variable para maximizar una tasa de perforación de penetración.

Info

Publication number
MX361510B
MX361510B MX2016001660A MX2016001660A MX361510B MX 361510 B MX361510 B MX 361510B MX 2016001660 A MX2016001660 A MX 2016001660A MX 2016001660 A MX2016001660 A MX 2016001660A MX 361510 B MX361510 B MX 361510B
Authority
MX
Mexico
Prior art keywords
drilling
drilling operation
penetration
determined
data
Prior art date
Application number
MX2016001660A
Other languages
English (en)
Other versions
MX2016001660A (es
Inventor
LAING Moray
Pope David
Duarte James
R Holdaway Keith
Original Assignee
Sas Inst 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
Application filed by Sas Inst Inc filed Critical Sas Inst Inc
Publication of MX2016001660A publication Critical patent/MX2016001660A/es
Publication of MX361510B publication Critical patent/MX361510B/es

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/04—Inference or reasoning models
    • 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
    • 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
    • E21B49/00—Testing 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
    • E21B49/003—Testing 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
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V13/00—Manufacturing, calibrating, cleaning, or repairing instruments or devices covered by groups G01V1/00 – G01V11/00
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G06N20/10—Machine learning using kernel methods, e.g. support vector machines [SVM]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G06N20/20—Ensemble learning

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Software Systems (AREA)
  • Geology (AREA)
  • Mining & Mineral Resources (AREA)
  • General Physics & Mathematics (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Computing Systems (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Environmental & Geological Engineering (AREA)
  • Fluid Mechanics (AREA)
  • Geochemistry & Mineralogy (AREA)
  • Medical Informatics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Geophysics (AREA)
  • Analytical Chemistry (AREA)
  • Chemical & Material Sciences (AREA)
  • Manufacturing & Machinery (AREA)
  • Computational Linguistics (AREA)
  • Earth Drilling (AREA)
  • Remote Sensing (AREA)
  • Testing And Monitoring For Control Systems (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Stored Programmes (AREA)

Abstract

Se proporciona un método para determinar un valor óptimo para un control de una operación de perforación. Los datos de perforación de una operación de perforación se reciben. Los datos de perforación incluyen una pluralidad de valores medidos para cada una de una pluralidad de variables de control de perforación durante la operación de perforación. Un modelo de función objetivo se determina utilizando los datos de perforación recibidos. El modelo de función objetivo maximiza la tasa de penetración de la operación de perforación. Los datos de perforación medidos recibidos incluyen valores de datos de perforación actuales para una operación de perforación diferente. Un valor óptimo para un control de la operación de perforación diferente se determina mediante la ejecución del modelo de función objetivo determinado con los datos medidos de perforación que incluyen los valores de datos de perforación actuales para la operación de perforación diferente como una entrada. El valor óptimo determinado para el control de la operación de perforación diferente es la salida.
MX2016001660A 2013-09-19 2014-09-19 Control de determinación variable para maximizar una tasa de perforación de penetración. MX361510B (es)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201361879933P 2013-09-19 2013-09-19
US14/490,189 US9085958B2 (en) 2013-09-19 2014-09-18 Control variable determination to maximize a drilling rate of penetration
PCT/US2014/056455 WO2015042347A1 (en) 2013-09-19 2014-09-19 Control variable determination to maximize a drilling rate of penetration

Publications (2)

Publication Number Publication Date
MX2016001660A MX2016001660A (es) 2016-10-07
MX361510B true MX361510B (es) 2018-12-07

Family

ID=52668715

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2016001660A MX361510B (es) 2013-09-19 2014-09-19 Control de determinación variable para maximizar una tasa de perforación de penetración.

Country Status (9)

Country Link
US (2) US9085958B2 (es)
CN (1) CN105473812B (es)
BR (1) BR112016001904B1 (es)
CA (1) CA2916762C (es)
GB (1) GB2530945B (es)
HK (1) HK1217744A1 (es)
MX (1) MX361510B (es)
NO (1) NO339353B1 (es)
WO (1) WO2015042347A1 (es)

Families Citing this family (70)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9285794B2 (en) * 2011-09-07 2016-03-15 Exxonmobil Upstream Research Company Drilling advisory systems and methods with decision trees for learning and application modes
US9734290B2 (en) 2011-12-16 2017-08-15 Neela SRINIVAS System and method for evidence based differential analysis and incentives based healthcare policy
US9085958B2 (en) * 2013-09-19 2015-07-21 Sas Institute Inc. Control variable determination to maximize a drilling rate of penetration
US9163497B2 (en) 2013-10-22 2015-10-20 Sas Institute Inc. Fluid flow back prediction
US9579700B2 (en) * 2014-05-30 2017-02-28 Iteris, Inc. Measurement and modeling of salinity contamination of soil and soil-water systems from oil and gas production activities
US20150354336A1 (en) * 2014-06-05 2015-12-10 Sas Institute Inc. Control parameter determination in steam assisted gravity drainage oil drilling
US10221671B1 (en) * 2014-07-25 2019-03-05 U.S. Department Of Energy MSE based drilling optimization using neural network simulaton
CA2971706C (en) * 2015-03-05 2022-05-31 Halliburton Energy Services, Inc. Method to optimize oilfield operations based on large and complex data sets
US10657441B2 (en) * 2015-04-01 2020-05-19 Landmark Graphics Corporation Model generation for real-time rate of penetration prediction
US11536121B1 (en) 2015-06-08 2022-12-27 DataInfoCom USA, Inc. Systems and methods for analyzing resource production
CN105302858B (zh) * 2015-09-18 2019-02-05 北京国电通网络技术有限公司 一种分布式数据库系统的跨节点查询优化方法及系统
US9593568B1 (en) * 2015-10-09 2017-03-14 General Electric Company System for estimating fatigue damage
NO341053B1 (en) * 2016-01-26 2017-08-14 Exebenus AS A method for planning and executing real time automated decision support in oil and gas wells
US10642896B2 (en) 2016-02-05 2020-05-05 Sas Institute Inc. Handling of data sets during execution of task routines of multiple languages
US10650046B2 (en) 2016-02-05 2020-05-12 Sas Institute Inc. Many task computing with distributed file system
US10360069B2 (en) * 2016-02-05 2019-07-23 Sas Institute Inc. Automated transfer of neural network definitions among federated areas
US10095552B2 (en) * 2016-02-05 2018-10-09 Sas Institute Inc. Automated transfer of objects among federated areas
US10650045B2 (en) * 2016-02-05 2020-05-12 Sas Institute Inc. Staged training of neural networks for improved time series prediction performance
US10795935B2 (en) 2016-02-05 2020-10-06 Sas Institute Inc. Automated generation of job flow definitions
US10570717B2 (en) 2016-09-26 2020-02-25 International Business Machines Corporation Controlling operation of a steam-assisted gravity drainage oil well system utilizing continuous and discrete control parameters
US10267130B2 (en) 2016-09-26 2019-04-23 International Business Machines Corporation Controlling operation of a steam-assisted gravity drainage oil well system by adjusting controls to reduce model uncertainty
US10614378B2 (en) 2016-09-26 2020-04-07 International Business Machines Corporation Cross-well allocation optimization in steam assisted gravity drainage wells
US10378324B2 (en) 2016-09-26 2019-08-13 International Business Machines Corporation Controlling operation of a steam-assisted gravity drainage oil well system by adjusting controls based on forecast emulsion production
US10577907B2 (en) 2016-09-26 2020-03-03 International Business Machines Corporation Multi-level modeling of steam assisted gravity drainage wells
US10352142B2 (en) * 2016-09-26 2019-07-16 International Business Machines Corporation Controlling operation of a stem-assisted gravity drainage oil well system by adjusting multiple time step controls
MY197266A (en) * 2016-12-07 2023-06-08 Safekick Americas Llc Automated model-based drilling
CN106837295B (zh) * 2017-01-25 2020-04-07 河南理工大学 智能化安全高效钻进自动控制系统及控制方法
EP3385497B1 (en) 2017-04-04 2019-12-25 VAREL EUROPE (Société par Actions Simplifiée) Method of optimizing drilling operation using empirical data
US10990882B2 (en) * 2017-07-28 2021-04-27 International Business Machines Corporation Stratigraphic layer identification from seismic and well data with stratigraphic knowledge base
WO2019036063A1 (en) * 2017-08-18 2019-02-21 Landmark Graphics Corporation OPTIMIZATION OF PENETRATION RATES FOR DRILLING WELLS USING MACHINE LEARNING
US11319793B2 (en) 2017-08-21 2022-05-03 Landmark Graphics Corporation Neural network models for real-time optimization of drilling parameters during drilling operations
WO2019051435A1 (en) 2017-09-11 2019-03-14 Schlumberger Technology Corporation WELL PLANNING SYSTEM
US11510097B2 (en) 2017-11-16 2022-11-22 Distech Controls Inc. Environment control device and method for inferring an optimal wireless data transfer rate using a neural network
US10616121B2 (en) * 2017-11-16 2020-04-07 Distech Controls Inc. Inference server and environment control device for inferring an optimal wireless data transfer rate
CA3085417C (en) * 2018-01-29 2023-06-27 Landmark Graphics Corporation Controlling range constraints for real-time drilling
CN110397402B (zh) * 2018-04-23 2021-01-29 中国石油天然气股份有限公司 钻井方法及装置
US11898419B2 (en) * 2018-05-14 2024-02-13 Schlumberger Technology Corporation Artificial intelligence assisted production advisory system and method
CN108756848B (zh) * 2018-05-21 2019-05-21 北京四利通控制技术股份有限公司 一种智能钻井控制云平台及智能钻井控制系统
TWI684080B (zh) * 2018-06-21 2020-02-01 高聖精密機電股份有限公司 智慧型調整系統及其方法
CA3098352C (en) * 2018-07-18 2023-01-24 Landmark Graphics Corporation Adjusting well tool operation to manipulate the rate-of-penetration (rop) of a drill bit based on multiple rop projections
WO2020027846A1 (en) * 2018-08-02 2020-02-06 Landmark Graphics Corporation Operating wellbore equipment using a distributed decision framework
WO2020046351A1 (en) * 2018-08-30 2020-03-05 Landmark Graphics Corporation Automated rate of penetration optimization for drilling
US11598196B2 (en) 2018-11-19 2023-03-07 National Oilwell Varco, L.P. Universal rig controller interface
CN109839825B (zh) * 2019-01-28 2022-04-12 华东交通大学 一种稀土萃取过程组分含量的预测控制方法及系统
US11162356B2 (en) 2019-02-05 2021-11-02 Motive Drilling Technologies, Inc. Downhole display
EP3942145B1 (en) 2019-03-18 2025-02-19 Magnetic Variation Services, LLC Steering a wellbore using stratigraphic misfit heat maps
US11946360B2 (en) 2019-05-07 2024-04-02 Magnetic Variation Services, Llc Determining the likelihood and uncertainty of the wellbore being at a particular stratigraphic vertical depth
US11492892B2 (en) * 2019-05-16 2022-11-08 Landmark Graphics Corporation Automated optimization of real-time data frequency for modeling drilling operations
US12018559B2 (en) * 2019-05-21 2024-06-25 Schlumberger Technology Corporation Methods and systems for flagging events in a time series and evaluating a downhole operation
NO20220010A1 (en) * 2019-08-09 2022-01-04 Landmark Graphics Corp Model based preference learning and optimization systems and methods
US11982171B2 (en) 2019-08-23 2024-05-14 Landmark Graphics Corporation Active reinforcement learning for drilling optimization and automation
US11859479B2 (en) 2020-02-12 2024-01-02 Enovate Corp. Computer implemented method of determining fracture interference in a hydraulically fractured well
US11421521B1 (en) * 2020-02-12 2022-08-23 Enovate Corp. Method of optimizing rate of penetration
US11916507B2 (en) 2020-03-03 2024-02-27 Schlumberger Technology Corporation Motor angular position control
US11933156B2 (en) 2020-04-28 2024-03-19 Schlumberger Technology Corporation Controller augmenting existing control system
US11055639B1 (en) * 2020-04-28 2021-07-06 Sas Institute Inc. Optimizing manufacturing processes using one or more machine learning models
CN116057520A (zh) * 2020-08-06 2023-05-02 罗伯特·博世有限公司 训练子模块并且防止ai模块的捕获的方法
CN114429800B (zh) * 2020-10-15 2024-06-21 中国石油化工股份有限公司 基于模型融合的甲烷水合物生成速率预测方法及系统
GB2615696B (en) * 2020-11-05 2024-09-11 Baker Hughes Oilfield Operations Llc Predictive models and multi-objective constraint optimization algorithm to optimize drilling parameters of a wellbore
US12091957B2 (en) * 2020-11-06 2024-09-17 Halliburton Energy Services, Inc. Dynamic multi-well operation integration in wellbore drilling
TWI758979B (zh) * 2020-11-30 2022-03-21 財團法人工業技術研究院 適應性搜尋空間調整的參數最佳化系統與方法及應用其之使用者介面
CN112861438A (zh) * 2021-02-22 2021-05-28 中国石油化工股份有限公司石油工程技术研究院 一种理论模型与数据融合的钻井机械钻速预测方法
US11668177B2 (en) * 2021-02-24 2023-06-06 Saudi Arabian Oil Company Predicting formation tops at the bit using machine learning
US12098631B2 (en) * 2021-04-23 2024-09-24 Landmark Graphics Corporation Process-mining software for generating a process flow for forming a wellbore
US20220397029A1 (en) * 2021-06-15 2022-12-15 Schlumberger Technology Corporation Drilling control
US20220414522A1 (en) * 2021-06-29 2022-12-29 Landmark Graphics Corporation Machine learning based ranking of hydrocarbon prospects for field exploration
CN113627079B (zh) * 2021-07-27 2025-02-07 中国海洋石油集团有限公司 一种面向海上石油钻井的深度可迁移多因子事故预警方法及系统
CN113610314A (zh) * 2021-08-17 2021-11-05 中海石油(中国)有限公司 基于粒子群算法的钻井参数优化方法、系统、设备和介质
WO2023067391A1 (en) 2021-10-22 2023-04-27 Exebenus AS System and method for predicting and optimizing drilling parameters
WO2024069602A1 (en) * 2022-09-30 2024-04-04 Jio Platforms Limited System and method for constrained optimization of equipment of process units

Family Cites Families (69)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5205166A (en) 1991-08-07 1993-04-27 Schlumberger Technology Corporation Method of detecting fluid influxes
GB2279381B (en) 1993-06-25 1996-08-21 Schlumberger Services Petrol Method of warning of pipe sticking during drilling operations
US5812068A (en) 1994-12-12 1998-09-22 Baker Hughes Incorporated Drilling system with downhole apparatus for determining parameters of interest and for adjusting drilling direction in response thereto
US6209643B1 (en) 1995-03-29 2001-04-03 Halliburton Energy Services, Inc. Method of controlling particulate flowback in subterranean wells and introducing treatment chemicals
US5787986A (en) 1995-03-29 1998-08-04 Halliburton Energy Services, Inc. Control of particulate flowback in subterranean wells
GB9621871D0 (en) 1996-10-21 1996-12-11 Anadrill Int Sa Alarm system for wellbore site
US6234250B1 (en) 1999-07-23 2001-05-22 Halliburton Energy Services, Inc. Real time wellbore pit volume monitoring system and method
US20090143923A1 (en) 2000-09-08 2009-06-04 Breed David S Arrangement and Method for Monitoring Shipping Containers
US6968909B2 (en) 2002-03-06 2005-11-29 Schlumberger Technology Corporation Realtime control of a drilling system using the output from combination of an earth model and a drilling process model
CA2493091C (en) 2002-07-26 2008-12-30 Varco I/P, Inc. Automated rig control management system
US6820702B2 (en) 2002-08-27 2004-11-23 Noble Drilling Services Inc. Automated method and system for recognizing well control events
US6832650B2 (en) 2002-09-11 2004-12-21 Halliburton Energy Services, Inc. Methods of reducing or preventing particulate flow-back in wells
US7128167B2 (en) 2002-12-27 2006-10-31 Schlumberger Technology Corporation System and method for rig state detection
US7899657B2 (en) * 2003-01-24 2011-03-01 Rockwell Automoation Technologies, Inc. Modeling in-situ reservoirs with derivative constraints
US6892813B2 (en) 2003-01-30 2005-05-17 Halliburton Energy Services, Inc. Methods for preventing fracture proppant flowback
US7172037B2 (en) 2003-03-31 2007-02-06 Baker Hughes Incorporated Real-time drilling optimization based on MWD dynamic measurements
US8209202B2 (en) 2005-04-29 2012-06-26 Landmark Graphics Corporation Analysis of multiple assets in view of uncertainties
AU2006284417B2 (en) 2005-08-19 2011-05-26 Exxonmobil Upstream Research Company Method and apparatus associated with stimulation treatments for wells
US7621324B2 (en) 2006-03-30 2009-11-24 Don Atencio Automated flowback and information system
US7447611B2 (en) 2006-05-09 2008-11-04 Hsb Solomon Associates, Llc Power generation performance analysis system and method
US20080255892A1 (en) 2007-04-11 2008-10-16 The University Of Southern California System and Method for Oil Production Forecasting and Optimization in a Model-Based Framework
US7814989B2 (en) 2007-05-21 2010-10-19 Schlumberger Technology Corporation System and method for performing a drilling operation in an oilfield
US7966273B2 (en) 2007-07-27 2011-06-21 Schlumberger Technology Corporation Predicting formation fluid property through downhole fluid analysis using artificial neural network
US20090076873A1 (en) 2007-09-19 2009-03-19 General Electric Company Method and system to improve engineered system decisions and transfer risk
US7660673B2 (en) 2007-10-12 2010-02-09 Schlumberger Technology Corporation Coarse wellsite analysis for field development planning
US8244654B1 (en) 2007-10-22 2012-08-14 Healthways, Inc. End of life predictive model
US8121971B2 (en) 2007-10-30 2012-02-21 Bp Corporation North America Inc. Intelligent drilling advisor
US8417495B2 (en) 2007-11-07 2013-04-09 Baker Hughes Incorporated Method of training neural network models and using same for drilling wellbores
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
WO2009079234A2 (en) 2007-12-14 2009-06-25 Schlumberger Canada Limited Methods of treating subterranean wells using changeable additives
US8527248B2 (en) 2008-04-18 2013-09-03 Westerngeco L.L.C. System and method for performing an adaptive drilling operation
US7966166B2 (en) 2008-04-18 2011-06-21 Schlumberger Technology Corp. Method for determining a set of net present values to influence the drilling of a wellbore and increase production
US8256534B2 (en) 2008-05-02 2012-09-04 Baker Hughes Incorporated Adaptive drilling control system
GB2465505C (en) 2008-06-27 2020-10-14 Rasheed Wajid Electronically activated underreamer and calliper tool
US20100076740A1 (en) 2008-09-08 2010-03-25 Schlumberger Technology Corporation System and method for well test design and interpretation
AU2009300240B2 (en) * 2008-10-03 2013-02-21 Halliburton Energy Services, Inc. Method and system for predicting performance of a drilling system
US7861800B2 (en) 2008-10-08 2011-01-04 Schlumberger Technology Corp Combining belief networks to generate expected outcomes
WO2010043951A2 (en) 2008-10-14 2010-04-22 Schlumberger Technology B.V. System and method for online automation
NO338750B1 (no) 2009-03-02 2016-10-17 Drilltronics Rig Systems As Fremgangsmåte og system for automatisert styring av boreprosess
US8170800B2 (en) 2009-03-16 2012-05-01 Verdande Technology As Method and system for monitoring a drilling operation
EA201270252A1 (ru) * 2009-08-07 2012-07-30 Эксонмобил Апстрим Рисерч Компани Консультативные системы и способы бурения с использованием целевых функций
CA2767689C (en) 2009-08-07 2018-01-02 Exxonmobil Upstream Research Company Drilling advisory systems and methods based on at least two controllable drilling parameters
CN102473232A (zh) 2009-08-12 2012-05-23 埃克森美孚上游研究公司 优化井管理策略
US9317537B2 (en) * 2009-09-25 2016-04-19 Adnan Fakeih Database and method for evaluating data therefrom
US8818779B2 (en) 2009-12-21 2014-08-26 Baker Hughes Incorporated System and methods for real-time wellbore stability service
US8453764B2 (en) * 2010-02-01 2013-06-04 Aps Technology, Inc. System and method for monitoring and controlling underground drilling
US7998911B1 (en) 2010-03-02 2011-08-16 Oil Chem Technologies Environmental friendly fracturing and stimulation composition and method of using the same
US8646523B2 (en) 2010-03-15 2014-02-11 Baker Hughes Incorporated Method and materials for proppant flow control with telescoping flow conduit technology
US20120000658A1 (en) 2010-06-30 2012-01-05 Chevron U.S.A. Inc. Method for in situ fluid assessment and optimization during wellbore displacement operations
EP2598845B1 (en) 2010-07-30 2016-01-27 Accenture Global Services Limited Intelligent core engine
US8733443B2 (en) 2010-12-21 2014-05-27 Saudi Arabian Oil Company Inducing flowback of damaging mud-induced materials and debris to improve acid stimulation of long horizontal injection wells in tight carbonate formations
BR112013023019A2 (pt) 2011-03-09 2016-12-13 Prad Res & Dev Ltd método para caracterizar uma formação subterrânea utilizando uma resposta de pressão de fluido durante operações de perfuração de poços, e método para calcular vazão de fluido fluindo de um poço, baseado em uma resposta da pressão de fluido durante operações de perfuração de poço
US8695692B2 (en) 2011-07-29 2014-04-15 Baker Hughes Incorporated Downhole condition alert system for a drill operator
US9181792B2 (en) 2011-10-05 2015-11-10 Schlumberger Technology Corporation Method for detecting and mitigating drilling inefficiencies
EP2764201B1 (en) 2011-10-06 2017-08-30 Landmark Graphics Corporation Systems and methods for subsurface oil recovery optimization
BR112014010565A2 (pt) 2011-11-02 2017-04-25 Landmark Graphics Corp método e sistema para previsão de um evento de tubulação presa numa coluna de perfuração
US8210283B1 (en) 2011-12-22 2012-07-03 Hunt Energy Enterprises, L.L.C. System and method for surface steerable drilling
US10385260B2 (en) 2012-01-12 2019-08-20 Ecolab Usa Inc. Fracturing fluids including amine oxides as flowback aids
US9540920B2 (en) 2012-03-02 2017-01-10 Schlumberger Technology Corporation Dynamic phase machine automation of oil and gas processes
WO2013135288A1 (en) 2012-03-14 2013-09-19 Statoil Canada Limited System and method for controlling the processing of oil sands
US9701888B2 (en) 2012-03-27 2017-07-11 Ecolab Usa Inc. Microemulsion flowback aid composition and method of using same
US9255473B2 (en) 2012-05-07 2016-02-09 Halliburton Energy Services, Inc. Methods and systems for real-time monitoring and processing of wellbore data
US9784100B2 (en) 2012-06-01 2017-10-10 Baker Hughes Incorporated Smart flowback alarm to detect kicks and losses
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
US9657558B2 (en) 2012-12-28 2017-05-23 Schlumberger Technology Corporation Method for treating and measuring subterranean formations
US9243486B2 (en) 2013-02-25 2016-01-26 Baker Hughes Incorporated Apparatus and method for determining closure pressure from flowback measurements of a fractured formation
US9085958B2 (en) * 2013-09-19 2015-07-21 Sas Institute Inc. Control variable determination to maximize a drilling rate of penetration
US20150354336A1 (en) 2014-06-05 2015-12-10 Sas Institute Inc. Control parameter determination in steam assisted gravity drainage oil drilling
US11634979B2 (en) * 2014-07-18 2023-04-25 Nextier Completion Solutions Inc. Determining one or more parameters of a well completion design based on drilling data corresponding to variables of mechanical specific energy

Also Published As

Publication number Publication date
BR112016001904A2 (pt) 2017-08-01
US10275715B2 (en) 2019-04-30
WO2015042347A1 (en) 2015-03-26
CA2916762C (en) 2016-07-26
GB2530945A (en) 2016-04-06
NO339353B1 (en) 2016-12-05
US20150227841A1 (en) 2015-08-13
HK1217744A1 (zh) 2017-01-20
GB2530945B (en) 2017-07-26
CN105473812A (zh) 2016-04-06
CN105473812B (zh) 2017-07-28
CA2916762A1 (en) 2015-03-26
MX2016001660A (es) 2016-10-07
US9085958B2 (en) 2015-07-21
GB201522616D0 (en) 2016-02-03
BR112016001904B1 (pt) 2022-01-25
NO20160083A1 (en) 2016-01-14
US20150081222A1 (en) 2015-03-19

Similar Documents

Publication Publication Date Title
MX2016001660A (es) Control de determinacion variable para maximizar una tasa de perforacion de penetracion.
GB2547333A (en) Model predictive control using wireless process signals
GB2533718A (en) Drilling automation using stochastic optimal control
MX346779B (es) Control para modo semiautonomo.
MX364338B (es) Configuración de flujos de trabajo en un dispositivo anfitrion que funciona en un sistema de control de procesos.
HK1256682A1 (zh) 基於與機械比能的變量相對應的鑽探數據來確定完井設計的一個或多個參數
GB2550806A (en) Model generation for real-time rate of penetration prediction
EA201690630A1 (ru) Кучное выщелачивание меди
MX2014011325A (es) Aparato de procesamiento de datos, metodo y programa de procesamiento de datos.
MX355827B (es) Metodo y dispositivo para control de aplicacion.
MX2016011863A (es) Monitoreo de multiples sartas usando herramienta de deteccion de corrosion electromagnetica (em).
TR201909179T4 (tr) Biyosit üretimini kontrol etme yöntemi.
MX2017003142A (es) Uso de aprendizaje automatico para identificar perdidas no tecnicas.
MX2015007066A (es) Control de perforacion con presion controlada.
GB2540310A8 (en) Employing a target risk attribute predictor while drilling
MX2015017319A (es) Predicción de múltiples en datos de levantamiento.
MX2016009291A (es) Método para la producción de arilpropenos.
EA201491649A1 (ru) Визуализация оптимизации с использованием нормализованных переменных достижения
MX2016013395A (es) Seguimiento del rendimiento de un sistema de almacenamiento de energia electrica.
MX2018009691A (es) Metodo de calculo de produccion de calor radiogenico.
WO2012112534A3 (en) Learning to predict effects of compounds on targets
DOP2013000287A (es) Método de producción de derivados de imidazol
MX2013013641A (es) Metodo y sistema de guiado mediante control por derivada.
SA517380664B1 (ar) التحكم الفوري الفعال في الاهتزاز لأداة تسجيل أداء حفر حفرة بئر
MX2016001842A (es) Maquina y metodo para el diagnostico de una maquina.

Legal Events

Date Code Title Description
FG Grant or registration