GB2386231A - Processing well logging data with neural network - Google Patents
Processing well logging data with neural networkInfo
- 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
Links
- 238000013528 artificial neural network Methods 0.000 title abstract 2
- 230000015572 biosynthetic process Effects 0.000 abstract 4
- 238000005755 formation reaction Methods 0.000 abstract 4
- 238000000034 method Methods 0.000 abstract 1
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.
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)
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)
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 |
-
2001
- 2001-12-19 BR BRPI0116453-8A patent/BR0116453B1/en not_active IP Right Cessation
- 2001-12-19 CA CA002432684A patent/CA2432684A1/en not_active Abandoned
- 2001-12-19 AU AU4165702A patent/AU4165702A/en active Pending
- 2001-12-19 WO PCT/US2001/049193 patent/WO2002050571A2/en active Application Filing
- 2001-12-19 GB GB0314160A patent/GB2386231B/en not_active Expired - Fee Related
- 2001-12-19 AU AU2002241657A patent/AU2002241657B2/en not_active Ceased
-
2003
- 2003-06-18 NO NO20032780A patent/NO20032780L/en not_active Application Discontinuation
Patent Citations (9)
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 |