NO20033982D0 - Felt-/reservoaroptimalisering ved anvendelse av nervale nettverk - Google Patents

Felt-/reservoaroptimalisering ved anvendelse av nervale nettverk

Info

Publication number
NO20033982D0
NO20033982D0 NO20033982A NO20033982A NO20033982D0 NO 20033982 D0 NO20033982 D0 NO 20033982D0 NO 20033982 A NO20033982 A NO 20033982A NO 20033982 A NO20033982 A NO 20033982A NO 20033982 D0 NO20033982 D0 NO 20033982D0
Authority
NO
Norway
Prior art keywords
field
neural networks
reservoir optimization
optimization
reservoir
Prior art date
Application number
NO20033982A
Other languages
English (en)
Other versions
NO332610B1 (no
NO20033982L (no
Inventor
Jr Bruce H Storm
Roger Lynn Schultz
John R Dennis
John M Richardson
Original Assignee
Halliburton Energy Serv 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 Halliburton Energy Serv Inc filed Critical Halliburton Energy Serv Inc
Publication of NO20033982D0 publication Critical patent/NO20033982D0/no
Publication of NO20033982L publication Critical patent/NO20033982L/no
Publication of NO332610B1 publication Critical patent/NO332610B1/no

Links

Classifications

    • 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
    • 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
    • E21B43/00—Methods or apparatus for obtaining oil, gas, water, soluble or meltable materials or a slurry of minerals from wells
    • 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Geology (AREA)
  • Mining & Mineral Resources (AREA)
  • Geochemistry & Mineralogy (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Fluid Mechanics (AREA)
  • Environmental & Geological Engineering (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Feedback Control In General (AREA)
NO20033982A 2001-03-21 2003-09-09 Felt-/reservoaroptimalisering ved anvendelse av nervale nettverk NO332610B1 (no)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/US2001/009454 WO2002077728A1 (en) 2001-03-21 2001-03-21 Field/reservoir optimization utilizing neural networks

Publications (3)

Publication Number Publication Date
NO20033982D0 true NO20033982D0 (no) 2003-09-09
NO20033982L NO20033982L (no) 2003-09-09
NO332610B1 NO332610B1 (no) 2012-11-19

Family

ID=21742436

Family Applications (1)

Application Number Title Priority Date Filing Date
NO20033982A NO332610B1 (no) 2001-03-21 2003-09-09 Felt-/reservoaroptimalisering ved anvendelse av nervale nettverk

Country Status (4)

Country Link
EP (1) EP1381921B1 (no)
BR (1) BR0116921A (no)
NO (1) NO332610B1 (no)
WO (1) WO2002077728A1 (no)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070271077A1 (en) * 2002-11-15 2007-11-22 Kosmala Alexandre G Optimizing Well System Models
BR112015026505B1 (pt) * 2013-06-10 2021-12-14 Exxonmobil Upstream Research Company Método para determinar parâmetros de poço para otimização de desempenho de poço
US11333010B2 (en) 2020-05-13 2022-05-17 Saudi Arabian Oil Company Smart choke valve to regulate well sand production
US11414954B2 (en) 2020-07-06 2022-08-16 Saudi Arabian Oil Company Smart choke valve to assess and regulate production flow
CN112926771B (zh) * 2021-02-22 2022-10-25 中国石油大学(华东) 一种基于改进的时空图卷积网络产油量预测方法及系统

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US357426A (en) 1887-02-08 Scale
US5444619A (en) * 1993-09-27 1995-08-22 Schlumberger Technology Corporation System and method of predicting reservoir properties
US6012015A (en) * 1995-02-09 2000-01-04 Baker Hughes Incorporated Control model for production wells
DE69636054T2 (de) * 1995-10-23 2006-10-26 Baker Hugues Inc., Houston Drehbohrsystem in geschlossener schleife
US6002985A (en) * 1997-05-06 1999-12-14 Halliburton Energy Services, Inc. Method of controlling development of an oil or gas reservoir
US6101447A (en) * 1998-02-12 2000-08-08 Schlumberger Technology Corporation Oil and gas reservoir production analysis apparatus and method

Also Published As

Publication number Publication date
NO332610B1 (no) 2012-11-19
EP1381921A1 (en) 2004-01-21
NO20033982L (no) 2003-09-09
WO2002077728A1 (en) 2002-10-03
BR0116921A (pt) 2005-12-13
EP1381921B1 (en) 2012-01-11

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