GB2386231A - Processing well logging data with neural network - Google Patents

Processing well logging data with neural network

Info

Publication number
GB2386231A
GB2386231A GB0314160A GB0314160A GB2386231A GB 2386231 A GB2386231 A GB 2386231A GB 0314160 A GB0314160 A GB 0314160A GB 0314160 A GB0314160 A GB 0314160A GB 2386231 A GB2386231 A GB 2386231A
Authority
GB
United Kingdom
Prior art keywords
ann
models
neural network
logging tool
signals
Prior art date
Legal status (The legal status 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 status listed.)
Granted
Application number
GB0314160A
Other versions
GB0314160D0 (en
GB2386231B (en
Inventor
Dingding Chen
Martin Luis E San
Gulamabbas A Merchant
Robert W Strickland
Martin T Hagan
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Halliburton Energy Services Inc
Original Assignee
Halliburton Energy Services 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 Services Inc filed Critical Halliburton Energy Services Inc
Publication of GB0314160D0 publication Critical patent/GB0314160D0/en
Publication of GB2386231A publication Critical patent/GB2386231A/en
Application granted granted Critical
Publication of GB2386231B publication Critical patent/GB2386231B/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V3/00—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
    • G01V3/18—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation specially adapted for well-logging
    • G01V3/26—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation specially adapted for well-logging operating with magnetic or electric fields produced or modified either by the surrounding earth formation or by the detecting device
    • G01V3/28—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation specially adapted for well-logging operating with magnetic or electric fields produced or modified either by the surrounding earth formation or by the detecting device using induction coils
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/40—Seismology; Seismic or acoustic prospecting or detecting specially adapted for well-logging
    • G01V1/44—Seismology; Seismic or acoustic prospecting or detecting specially adapted for well-logging using generators and receivers in the same well
    • G01V1/48—Processing data
    • 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

  • Life Sciences & Earth Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Remote Sensing (AREA)
  • Geology (AREA)
  • Environmental & Geological Engineering (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Geophysics (AREA)
  • Electromagnetism (AREA)
  • Acoustics & Sound (AREA)
  • Geophysics And Detection Of Objects (AREA)
  • Radar Systems Or Details Thereof (AREA)

Abstract

An artificial neural network, ANN, and method of training the ANN for inversion of logging tool signals into well logs of formation parameters is disclosed. Properly selected synthetic models of earth formations are used to train the ANN. The models include Oklahoma and chirp type of formations. In each model parameter contrasts of from 10 to 1 to about 100 to 1 are included. Models including maximum and minimum parameter values spanning the operating range of the selected logging tool are included. Parameter contrasts at interfaces are limited to realistic values found in earth formations. The selected models are used to generate synthetic tool signals, which are then used as inputs to the ANN for training. When the ANN coefficients are properly adjusted to produce an output matching the original models, the ANN can be used for inversion of any real signals from the selected logging tool.
GB0314160A 2000-12-19 2001-12-19 Processing well logging data with neural network Expired - Fee Related GB2386231B (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US25667900P 2000-12-19 2000-12-19
US29900201P 2001-06-18 2001-06-18
PCT/US2001/049193 WO2002050571A2 (en) 2000-12-19 2001-12-19 Processing well logging data with neural network

Publications (3)

Publication Number Publication Date
GB0314160D0 GB0314160D0 (en) 2003-07-23
GB2386231A true GB2386231A (en) 2003-09-10
GB2386231B GB2386231B (en) 2005-04-13

Family

ID=26945519

Family Applications (1)

Application Number Title Priority Date Filing Date
GB0314160A Expired - Fee Related GB2386231B (en) 2000-12-19 2001-12-19 Processing well logging data with neural network

Country Status (6)

Country Link
AU (2) AU4165702A (en)
BR (1) BR0116453B1 (en)
CA (1) CA2432684A1 (en)
GB (1) GB2386231B (en)
NO (1) NO20032780L (en)
WO (1) WO2002050571A2 (en)

Families Citing this family (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5794720A (en) 1996-03-25 1998-08-18 Dresser Industries, Inc. Method of assaying downhole occurrences and conditions
US6832159B2 (en) 2002-07-11 2004-12-14 Schlumberger Technology Corporation Intelligent diagnosis of environmental influence on well logs with model-based inversion
US20040019427A1 (en) * 2002-07-29 2004-01-29 Halliburton Energy Services, Inc. Method for determining parameters of earth formations surrounding a well bore using neural network inversion
GB2413403B (en) * 2004-04-19 2008-01-09 Halliburton Energy Serv Inc Field synthesis system and method for optimizing drilling operations
US7091719B2 (en) 2004-04-30 2006-08-15 Schlumberger Technology Corporation Method for determining properties of formation fluids
BRPI0919556B8 (en) 2008-10-03 2019-07-30 Halliburton Energy Services Inc method, system for drilling a well, and, computer readable medium
US9366135B2 (en) 2013-10-08 2016-06-14 Exxonmobil Upstream Research Company Automatic dip picking from wellbore azimuthal image logs
CN111173505B (en) * 2018-10-23 2023-08-22 中国石油天然气股份有限公司 Method and apparatus for determining a reservoir lower limit
CN110488350B (en) * 2019-09-20 2021-10-29 西南石油大学 Seismic inversion big data generation method based on convolutional neural network
US11624853B2 (en) 2020-01-31 2023-04-11 ExxonMobil Technology and Engineering Company Methods for performing formation evaluation and related systems
CN111399065A (en) * 2020-03-17 2020-07-10 中研地科(天津)科技发展有限公司 Anti-interference earth electromagnetic measuring method and device
US11741359B2 (en) 2020-05-29 2023-08-29 Saudi Arabian Oil Company Systems and procedures to forecast well production performance for horizontal wells utilizing artificial neural networks

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5251286A (en) * 1992-03-16 1993-10-05 Texaco, Inc. Method for estimating formation permeability from wireline logs using neural networks
US5300770A (en) * 1992-08-10 1994-04-05 Mobil Oil Corporation Apparatus for producing a porosity log of a subsurface formation corrected for detector standoff
US5345077A (en) * 1991-07-24 1994-09-06 Mobil Oil Corporation Method and apparatus for producing a porosity log of a subsurface formation corrected for detector standoff
US5444619A (en) * 1993-09-27 1995-08-22 Schlumberger Technology Corporation System and method of predicting reservoir properties
US5828981A (en) * 1995-05-11 1998-10-27 Texaco Inc. Generating pore types and synthetic capillary pressure curves from wireline logs using neural networks
US5862513A (en) * 1996-11-01 1999-01-19 Western Atlas International, Inc. Systems and methods for forward modeling of well logging tool responses
US5883515A (en) * 1993-07-21 1999-03-16 Western Atlas International, Inc. Method of determining formation resistivity utilizing combined measurements of inductive and galvanic logging instruments
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
US6219619B1 (en) * 1999-03-08 2001-04-17 Baker Hughes Incorporated Inhomogeneous background-based software focusing method for array-type induction logging tools

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5345077A (en) * 1991-07-24 1994-09-06 Mobil Oil Corporation Method and apparatus for producing a porosity log of a subsurface formation corrected for detector standoff
US5251286A (en) * 1992-03-16 1993-10-05 Texaco, Inc. Method for estimating formation permeability from wireline logs using neural networks
US5300770A (en) * 1992-08-10 1994-04-05 Mobil Oil Corporation Apparatus for producing a porosity log of a subsurface formation corrected for detector standoff
US5883515A (en) * 1993-07-21 1999-03-16 Western Atlas International, Inc. Method of determining formation resistivity utilizing combined measurements of inductive and galvanic logging instruments
US5444619A (en) * 1993-09-27 1995-08-22 Schlumberger Technology Corporation System and method of predicting reservoir properties
US5828981A (en) * 1995-05-11 1998-10-27 Texaco Inc. Generating pore types and synthetic capillary pressure curves from wireline logs using neural networks
US5862513A (en) * 1996-11-01 1999-01-19 Western Atlas International, Inc. Systems and methods for forward modeling of well logging tool responses
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
US6219619B1 (en) * 1999-03-08 2001-04-17 Baker Hughes Incorporated Inhomogeneous background-based software focusing method for array-type induction logging tools

Also Published As

Publication number Publication date
AU4165702A (en) 2002-07-01
CA2432684A1 (en) 2002-06-27
BR0116453A (en) 2005-12-13
BR0116453B1 (en) 2014-12-30
WO2002050571A2 (en) 2002-06-27
NO20032780D0 (en) 2003-06-18
WO2002050571A3 (en) 2003-04-17
GB0314160D0 (en) 2003-07-23
NO20032780L (en) 2003-08-13
AU2002241657B2 (en) 2008-01-31
GB2386231B (en) 2005-04-13

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Legal Events

Date Code Title Description
PCNP Patent ceased through non-payment of renewal fee

Effective date: 20151219