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International Conference on Mathematical Modeling and Scientific Computing
April 2-6, 2001
Middle East Technical University and Selcuk University
Ankara and Konya, Turkey

Organizers
F. Bornemann (Munich University of Tecnology, Germany), H. Bulgak (Selcuk University, Konya, Turkey), V. Ganzha (Munich University of Technology, Germany), B. Karasozen (METU, Ankara, Turkey), A. Sinan (Selcuk University, Konya, Turkey), C. Zenger (Munich University of Technology, Germany)

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Modeling Permeability Variation in Porous Media by Optimizing Transport Parameters with Genetic Algorithms
by
Demet Erbas
Petroleum Research Center, METU, Turkey
Coauthors: Fevzi Gumrah (Petroleum Research Center, METU, Turkey)

Genetic Algorithms (GAs) are random search techniques that mimic processes observed in natural evolution. They work with an encoding of the variables (typically as strings) rather than the variables themselves, and use probabilistic transition rules to move from one population of solutions to another rather than a single solution to another. The most important part of GAs is the definition of the problem specific objective function. In this study, two different examples for the use of GAs in parameter estimation problems are presented. First one includes an acidizing process while the second one includes a formation damage problem. Permeability alteration in petroleum reservoirs have received a great deal of concern by the oil and gas industry. The success of oil recovery is strongly influenced by the change of reservoir permeability; therefore, attempting to understand the formation process is an important task for reservoir and production engineers. In this study, two mathematical models to predict permeability alteration after an acidizing process and due to formation damage are coupled with a simple GA. In both of the studies, the permeability alteration in porous media is predicted by optimizing transport parameters with GA and different objective functions are studied to observe the sensitivity of GA on objective function.

Date received: February 16, 2001

Copyright © 2001 by the author(s). The author(s) of this document and the organizers of the conference have granted their consent to include this abstract in Atlas Conferences Inc. Document # cagk-66.