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.
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