EA201492211A1 - Способы и устройства для моделирования характеристик глинистых сланцев в буровых растворах на водной основе с помощью искусственной нейронной сети - Google Patents

Способы и устройства для моделирования характеристик глинистых сланцев в буровых растворах на водной основе с помощью искусственной нейронной сети

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Publication number
EA201492211A1
EA201492211A1 EA201492211A EA201492211A EA201492211A1 EA 201492211 A1 EA201492211 A1 EA 201492211A1 EA 201492211 A EA201492211 A EA 201492211A EA 201492211 A EA201492211 A EA 201492211A EA 201492211 A1 EA201492211 A1 EA 201492211A1
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EA
Eurasian Patent Office
Prior art keywords
formation
neural network
artificial neural
target
modeling
Prior art date
Application number
EA201492211A
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English (en)
Other versions
EA030212B1 (ru
Inventor
Дейл Е. Джеймисон
Схадааб С. Магхраби
Дханашри Гаджанан Кулкарни
Кушабхау Д. Теке
Сандип Д. Кулкарни
Original Assignee
Хэллибертон Энерджи Сервисиз, Инк.
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Application filed by Хэллибертон Энерджи Сервисиз, Инк. filed Critical Хэллибертон Энерджи Сервисиз, Инк.
Publication of EA201492211A1 publication Critical patent/EA201492211A1/ru
Publication of EA030212B1 publication Critical patent/EA030212B1/ru

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    • 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
    • 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
    • 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

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Molecular Biology (AREA)
  • Artificial Intelligence (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Earth Drilling (AREA)
  • Treatment Of Sludge (AREA)
  • Investigation Of Foundation Soil And Reinforcement Of Foundation Soil By Compacting Or Drainage (AREA)
  • User Interface Of Digital Computer (AREA)
  • Feedback Control In General (AREA)

Abstract

В настоящем документе описывается устройство и способ определения взаимодействия формация-жидкость для целевой формации и целевого бурового раствора. Способ может включать обучение искусственной нейронной сети с помощью обучающей выборки. Обучающая выборка может включать характеристики формации исходной формации и характеристики жидкости исходного бурового раствора. После обучения искусственной нейронной сети можно подавать в качестве входных данных характеристики формации целевой формации. Характеристики формации целевой формации могут соответствовать характеристикам формации исходной формации. Взаимодействие формация-жидкость для целевой формации и целевого бурового раствора можно определять с помощью значения, получаемого от искусственной нейронной сети.
EA201492211A 2012-05-24 2013-05-17 Способ и устройство для моделирования характеристик глинистых сланцев в буровых растворах на водной основе с помощью искусственной нейронной сети EA030212B1 (ru)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US13/480,245 US9117169B2 (en) 2012-05-24 2012-05-24 Methods and apparatuses for modeling shale characteristics in wellbore servicing fluids using an artificial neural network
PCT/US2013/041665 WO2013176994A1 (en) 2012-05-24 2013-05-17 Methods and apparatuses for modeling shale characteristics in water-based muds using an artificial neural network

Publications (2)

Publication Number Publication Date
EA201492211A1 true EA201492211A1 (ru) 2015-02-27
EA030212B1 EA030212B1 (ru) 2018-07-31

Family

ID=48539409

Family Applications (1)

Application Number Title Priority Date Filing Date
EA201492211A EA030212B1 (ru) 2012-05-24 2013-05-17 Способ и устройство для моделирования характеристик глинистых сланцев в буровых растворах на водной основе с помощью искусственной нейронной сети

Country Status (8)

Country Link
US (1) US9117169B2 (ru)
EP (1) EP2828804A1 (ru)
AU (1) AU2013266635B2 (ru)
BR (1) BR112014029223A2 (ru)
CA (1) CA2871158A1 (ru)
EA (1) EA030212B1 (ru)
MX (1) MX340384B (ru)
WO (1) WO2013176994A1 (ru)

Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140279772A1 (en) * 2013-03-13 2014-09-18 Baker Hughes Incorporated Neuronal networks for controlling downhole processes
US9501740B2 (en) 2014-06-03 2016-11-22 Saudi Arabian Oil Company Predicting well markers from artificial neural-network-predicted lithostratigraphic facies
WO2016200379A1 (en) 2015-06-10 2016-12-15 Halliburton Energy Services, Inc. Apparatus and methods to manage wellbore fluid properties
CA2997713A1 (en) * 2015-10-30 2017-05-04 Halliburton Energy Services, Inc. Enhancing drilling operations with cognitive computing
US10101486B1 (en) 2017-08-10 2018-10-16 Datacloud International, Inc. Seismic-while-drilling survey systems and methods
US10072919B1 (en) 2017-08-10 2018-09-11 Datacloud International, Inc. Efficient blast design facilitation systems and methods
US10989828B2 (en) 2018-02-17 2021-04-27 Datacloud International, Inc. Vibration while drilling acquisition and processing system
US10697294B2 (en) 2018-02-17 2020-06-30 Datacloud International, Inc Vibration while drilling data processing methods
CN114482995A (zh) * 2022-03-10 2022-05-13 西南石油大学 一种细粒沉积物泥质含量精细确定方法

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6732052B2 (en) * 2000-09-29 2004-05-04 Baker Hughes Incorporated Method and apparatus for prediction control in drilling dynamics using neural networks

Also Published As

Publication number Publication date
AU2013266635A1 (en) 2014-10-30
AU2013266635B2 (en) 2016-01-28
WO2013176994A1 (en) 2013-11-28
US9117169B2 (en) 2015-08-25
MX340384B (es) 2016-07-07
EP2828804A1 (en) 2015-01-28
EA030212B1 (ru) 2018-07-31
MX2014012620A (es) 2015-05-07
BR112014029223A2 (pt) 2017-06-27
US20130318019A1 (en) 2013-11-28
CA2871158A1 (en) 2013-11-28

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MM4A Lapse of a eurasian patent due to non-payment of renewal fees within the time limit in the following designated state(s)

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