关键词: 自适应, 遗传算法, 自动拟合, 试井分析, 油藏参数

Abstract: The automatic analysis and unique results are the goal of well testing.This paper proposed an optimal well test analysis method based on genetic algorithm.Genetic algorithm is a fast searching technique with the principle of ‘Survival of the fittest'.The fittest of each solution is evaluated to undergo the action of the crossover and mutation operators in each generation.Especially,the genetic algorithms are suited to problems with non-linearity,discontinuities,etc in each generation,all of which can cause traditional optimization schemes to fail.It is not necessary to specify initial estimates for the parameter values and objective function continuous.The method is superior to simple genetic algorithm.In order to maintain diversity in the population and sustain the convergence capacity of genetic algorithm adaptive probability of crossover and mutation are used.The optimal values of reservoir parameters can be obtained.The good well test results can be obtained by combining with automated type curve matching method of nonlinear trgress.Two field well test data demonstrated the method is efficient.

Key words: adaptive genetic, algorithm automated matching, well test analysis, reservoir parameter