WO2002066791A8 - Detection et reglage du debit fond de trou par reseaux neuronaux - Google Patents

Detection et reglage du debit fond de trou par reseaux neuronaux

Info

Publication number
WO2002066791A8
WO2002066791A8 PCT/US2001/005123 US0105123W WO02066791A8 WO 2002066791 A8 WO2002066791 A8 WO 2002066791A8 US 0105123 W US0105123 W US 0105123W WO 02066791 A8 WO02066791 A8 WO 02066791A8
Authority
WO
WIPO (PCT)
Prior art keywords
sensor
flow control
neural networks
temporary
control utilizing
Prior art date
Application number
PCT/US2001/005123
Other languages
English (en)
Other versions
WO2002066791A1 (fr
Inventor
Roger L Schultz
Bruce H Storm Jr
John Dennis
John M Richardson
Original Assignee
Halliburton Energy Serv Inc
Roger L Schultz
Bruce H Storm Jr
John Dennis
John M Richardson
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, Roger L Schultz, Bruce H Storm Jr, John Dennis, John M Richardson filed Critical Halliburton Energy Serv Inc
Priority to PCT/US2001/005123 priority Critical patent/WO2002066791A1/fr
Priority to GB0230175A priority patent/GB2379513B/en
Priority to US10/076,960 priority patent/US6789620B2/en
Publication of WO2002066791A1 publication Critical patent/WO2002066791A1/fr
Publication of WO2002066791A8 publication Critical patent/WO2002066791A8/fr

Links

Classifications

    • 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
    • E21B49/008—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 injection test; by analysing pressure variations in an injection or production test, e.g. for estimating the skin factor
    • 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
    • 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
    • E21B47/00—Survey of boreholes or wells
    • E21B47/10—Locating fluid leaks, intrusions or movements

Landscapes

  • Geology (AREA)
  • Mining & Mineral Resources (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Fluid Mechanics (AREA)
  • Environmental & Geological Engineering (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Geochemistry & Mineralogy (AREA)
  • Geophysics (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Feedback Control In General (AREA)
  • Control Of Non-Electrical Variables (AREA)
  • Testing Or Calibration Of Command Recording Devices (AREA)

Abstract

L'invention concerne des procédés de détection et de régulation du débit fond de trou utilisant des réseaux neuronaux. Dans un mode de réalisation de la présente invention, un capteur provisoire (DSn) est placé au fond du trou et un capteur permanent (SSn) est placé à la surface. Les données générées par les deux capteurs sont enregistrées comme ensembles de données d'entraînement. Ces ensembles de données permettent d'entraîner un réseau neuronal. Lorsque le capteur provisoire n'est plus présent ou n'est plus opérationnel dans le puits, le réseau neuronal est capable de déterminer les données générées par le capteur provisoire en réponse aux données transmises au réseau neuronal par le capteur permanent.
PCT/US2001/005123 2001-02-16 2001-02-16 Detection et reglage du debit fond de trou par reseaux neuronaux WO2002066791A1 (fr)

Priority Applications (3)

Application Number Priority Date Filing Date Title
PCT/US2001/005123 WO2002066791A1 (fr) 2001-02-16 2001-02-16 Detection et reglage du debit fond de trou par reseaux neuronaux
GB0230175A GB2379513B (en) 2001-02-16 2001-02-16 Downhole sensing and flow control utilizing neural networks
US10/076,960 US6789620B2 (en) 2001-02-16 2002-02-15 Downhole sensing and flow control utilizing neural networks

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/US2001/005123 WO2002066791A1 (fr) 2001-02-16 2001-02-16 Detection et reglage du debit fond de trou par reseaux neuronaux

Publications (2)

Publication Number Publication Date
WO2002066791A1 WO2002066791A1 (fr) 2002-08-29
WO2002066791A8 true WO2002066791A8 (fr) 2003-11-13

Family

ID=21742345

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2001/005123 WO2002066791A1 (fr) 2001-02-16 2001-02-16 Detection et reglage du debit fond de trou par reseaux neuronaux

Country Status (2)

Country Link
GB (1) GB2379513B (fr)
WO (1) WO2002066791A1 (fr)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10495778B2 (en) 2015-11-19 2019-12-03 Halliburton Energy Services, Inc. System and methods for cross-tool optical fluid model validation and real-time application

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5828981A (en) * 1995-05-11 1998-10-27 Texaco Inc. Generating pore types and synthetic capillary pressure curves from wireline logs using neural networks
WO1998024010A1 (fr) * 1996-11-27 1998-06-04 Siemens Aktiengesellschaft Procede de modelisation neuronique des formes d'asservissement d'un systeme technique a des parametres
US6002985A (en) * 1997-05-06 1999-12-14 Halliburton Energy Services, Inc. Method of controlling development of an oil or gas reservoir
US6236908B1 (en) * 1997-05-07 2001-05-22 Ford Global Technologies, Inc. Virtual vehicle sensors based on neural networks trained using data generated by simulation models
US5941305A (en) * 1998-01-29 1999-08-24 Patton Enterprises, Inc. Real-time pump optimization system
US6044325A (en) * 1998-03-17 2000-03-28 Western Atlas International, Inc. Conductivity anisotropy estimation method for inversion processing of measurements made by a transverse electromagnetic induction logging instrument
US6282452B1 (en) * 1998-11-19 2001-08-28 Intelligent Inspection Corporation Apparatus and method for well management

Also Published As

Publication number Publication date
GB0230175D0 (en) 2003-02-05
GB2379513B (en) 2005-06-29
GB2379513A (en) 2003-03-12
WO2002066791A1 (fr) 2002-08-29

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