CN105829645B - 控制共振增强钻进的方法及钻进方法、设备和控制系统 - Google Patents

控制共振增强钻进的方法及钻进方法、设备和控制系统 Download PDF

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CN105829645B
CN105829645B CN201480067604.6A CN201480067604A CN105829645B CN 105829645 B CN105829645 B CN 105829645B CN 201480067604 A CN201480067604 A CN 201480067604A CN 105829645 B CN105829645 B CN 105829645B
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drilling
drilled
parameters
control system
calculated
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Chinese (zh)
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CN105829645A (zh
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M·维尔茨洛奇
Y·刘
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ITI Scotland Ltd
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ITI Scotland Ltd
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    • 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
    • E21B44/005—Below-ground automatic control systems
    • 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
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • G05B13/0285—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using neural networks and fuzzy logic
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
    • G05B13/042—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10—Character recognition
    • G06V30/19—Recognition using electronic means
    • G06V30/192—Recognition using electronic means using simultaneous comparisons or correlations of the image signals with a plurality of references
    • G06V30/194—References adjustable by an adaptive method, e.g. learning
    • 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
    • E21B2200/00—Special features related to earth drilling for obtaining oil, gas or water
    • E21B2200/22—Fuzzy logic, artificial intelligence, neural networks or the like
    • 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
    • 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
    • E21B6/00—Drives for drilling with combined rotary and percussive action
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • G05B13/027—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using neural networks only

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  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Mining & Mineral Resources (AREA)
  • Geology (AREA)
  • Physics & Mathematics (AREA)
  • Environmental & Geological Engineering (AREA)
  • Geochemistry & Mineralogy (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Fluid Mechanics (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Software Systems (AREA)
  • Automation & Control Theory (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Fuzzy Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Databases & Information Systems (AREA)
  • Multimedia (AREA)
  • Earth Drilling (AREA)
  • Operations Research (AREA)
  • Automatic Control Of Machine Tools (AREA)
  • Perforating, Stamping-Out Or Severing By Means Other Than Cutting (AREA)
CN201480067604.6A 2013-10-09 2014-10-09 控制共振增强钻进的方法及钻进方法、设备和控制系统 Expired - Fee Related CN105829645B (zh)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
GB1317883.5 2013-10-09
GBGB1317883.5A GB201317883D0 (en) 2013-10-09 2013-10-09 Control method
PCT/EP2014/071700 WO2015052300A2 (en) 2013-10-09 2014-10-09 Control method

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CN105829645A CN105829645A (zh) 2016-08-03
CN105829645B true CN105829645B (zh) 2020-02-14

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US (1) US10605067B2 (enExample)
EP (1) EP3055740B1 (enExample)
CN (1) CN105829645B (enExample)
BR (1) BR112016007844B1 (enExample)
CA (1) CA2926785C (enExample)
GB (1) GB201317883D0 (enExample)
RU (1) RU2677179C2 (enExample)
WO (1) WO2015052300A2 (enExample)

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US10746013B2 (en) * 2015-05-29 2020-08-18 Baker Hughes, A Ge Company, Llc Downhole test signals for identification of operational drilling parameters
WO2021062486A1 (en) * 2019-10-02 2021-04-08 Rig Technologies International Pty Ltd Improvements in or relating to assessment of mining deposits
CN115290432B (zh) * 2022-08-07 2024-06-11 西南石油大学 一种射孔套管孔眼冲蚀速率预测与冲蚀损伤评价方法
CN115469536B (zh) * 2022-09-20 2024-11-26 中煤科工集团重庆研究院有限公司 一种卡钻风险评估及钻进参数调节控制方法
CN117328850B (zh) * 2023-09-22 2024-05-14 安百拓(张家口)建筑矿山设备有限公司 钻机控制方法、装置、终端及存储介质
US12241322B1 (en) * 2023-11-09 2025-03-04 Schlumberger Technology Corporation Systems and methods for determining wear of downhole tools
CN119002257A (zh) * 2024-07-17 2024-11-22 中国煤炭科工集团太原研究院有限公司 一种基于机器学习的自适应钻孔调速方法和系统

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US6367565B1 (en) * 1998-03-27 2002-04-09 David R. Hall Means for detecting subterranean formations and monitoring the operation of a down-hole fluid driven percussive piston
CN102575498A (zh) * 2009-09-16 2012-07-11 Iti苏格兰有限公司 共振增强型旋转钻探
CN102575516A (zh) * 2009-08-07 2012-07-11 埃克森美孚上游研究公司 根据地面测量估计井下钻探振动振幅的方法

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DE19960824C2 (de) * 1999-12-16 2003-08-21 Hilti Ag Verfahren und Einrichtung zur Untersuchung und Identifizierung der Art eines Untergrunds
US8401831B2 (en) 2000-03-13 2013-03-19 Smith International, Inc. Methods for designing secondary cutting structures for a bottom hole assembly
US6863136B2 (en) * 2000-05-03 2005-03-08 Yoseph Bar-Cohen Smart-ultrasonic/sonic driller/corer
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
US7866413B2 (en) 2006-04-14 2011-01-11 Baker Hughes Incorporated Methods for designing and fabricating earth-boring rotary drill bits having predictable walk characteristics and drill bits configured to exhibit predicted walk characteristics
GEP20156361B (enExample) 2006-06-09 2015-09-10 Univ Aberdeen
US8417495B2 (en) * 2007-11-07 2013-04-09 Baker Hughes Incorporated Method of training neural network models and using same for drilling wellbores
US8925648B2 (en) 2008-05-29 2015-01-06 Peter A. Lucon Automatic control of oscillatory penetration apparatus
BR112012006391B1 (pt) 2009-09-21 2019-05-28 National Oilwell Varco, L.P. Métodos para perfurar um furo de sondagem em uma formação terrestre e para manter condições de estado não estacionário em um furo de sondagem, e, mídia de armazenamento legível por computador
GB201020660D0 (en) 2010-12-07 2011-01-19 Iti Scotland Ltd Resonance enhanced drilling
US9291539B2 (en) 2011-03-17 2016-03-22 Baker Hughes Incorporated Downhole rebound hardness measurement while drilling or wireline logging
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US6367565B1 (en) * 1998-03-27 2002-04-09 David R. Hall Means for detecting subterranean formations and monitoring the operation of a down-hole fluid driven percussive piston
CN102575516A (zh) * 2009-08-07 2012-07-11 埃克森美孚上游研究公司 根据地面测量估计井下钻探振动振幅的方法
CN102575498A (zh) * 2009-09-16 2012-07-11 Iti苏格兰有限公司 共振增强型旋转钻探

Also Published As

Publication number Publication date
RU2677179C2 (ru) 2019-01-15
BR112016007844B1 (pt) 2022-09-20
US10605067B2 (en) 2020-03-31
EP3055740A2 (en) 2016-08-17
WO2015052300A3 (en) 2015-12-17
RU2016117397A3 (enExample) 2018-06-18
CA2926785C (en) 2022-05-31
CN105829645A (zh) 2016-08-03
RU2016117397A (ru) 2017-11-15
CA2926785A1 (en) 2015-04-16
WO2015052300A2 (en) 2015-04-16
GB201317883D0 (en) 2013-11-20
EP3055740B1 (en) 2024-05-22
BR112016007844A2 (enExample) 2017-08-01
US20160245064A1 (en) 2016-08-25

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