NDLI: Application of Genetic Algorithm in Inverse Problem of Welltesting Interpretation of Triple Media Reservoirs

Content Provider	IEEE Xplore Digital Library
Author	Wang Zi-sheng Yao Jun
Copyright Year	2009
Abstract	It is obviously impossible to match test data of triple media reservoirs by hand because of too many parameters to be interpretated. The different parameters of well-testing interpretation have bad relativity and the well-testing interpretation is a non-linear inversion problem with multi-parameters. Genetic Algorithms which are developed recently have advantage of global convergence. It is auto-adapted and non-linear optimum algorithm without gradient information which is very fit for the well-testing interpretation of triple media reservoirs. It is very successful for the auto-match of well-testing interpretation of triple media reservoirs by use of Genetic Algorithms which improves the matching speed and precision between theoretical pressure and the observed pressure.
Starting Page	589
Ending Page	593
File Size	926686
Page Count	5
File Format	PDF
ISBN	9780769537368
DOI	10.1109/ICNC.2009.325
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Inverser Problem Genetic Algorithm Permeability Random media Biological cells Petroleum Well-testing Interpretation Genetic algorithms Convergence Inverse problems Computer applications Reservoirs Triple Media Reservoirs Testing
Content Type	Text
Resource Type	Article

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