The Application of Fuzzy Logic and Genetic Algorithms to Oil Exploration
Oil exploration has benefitted from the application of fuzzy logic and genetic algorithms’. The oil industry now uses these new interpretation techniques to predict permeability, litho-facies (specific rock type) and shear velocities in uncored wells. Oil explorers are forced to live with error, uncertainty and fragile correlations between data sets. These conditions are inherent to oil exploration, because of the challenge of designing and building well logging tools to measure complex formations in hostile environments. Even in the laboratory it is difficult to relate a logging tool response to a physical parameter. Several perturbing effects such as mineralogy, in-situ fluids and drilling fluid invasion can influence a simple measurement. Litho-facies and permeability prediction have presented a challenge to formation evaluation due to the lack of logging tools that measure them directly. The new methods can be used as a simple means for confirming known correlations or as a powerful predictor in uncored wells.
KeywordsGenetic Algorithm Fuzzy Logic Shear Velocity Pore Throat Facies Type
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- 1.Cuddy, S.J., “The Application of Fuzzy Logic to Petrophysics”, The Thirty-Eighth Annual Logging Symposium of the Society of Professional Well Log Analysts, June 1997.Google Scholar
- 2.Brown, D.F, Cuddy S.J., Garmendia-Doval A.B. and McCall J.A.W., “The Prediction of Permeability in Oil-Bearing Strata using Genetic Algorithms” Third IASTED International Conference Artificial Intelligence and Soft Computing, July 2000, to appear.Google Scholar