In this paper, we describe a methodology to identify reservoir properties by using numerical techniques that combine finite element methods, a streamline approach, and genetic algorithms. As a model problem, we consider the system of equations governing incompressible miscible displacement in two dimensions (2D) in which the solution furnishes tracer breakthrough profiles that are parametrized as functions of the properties to be determined. Given a population of initial parameters, after the solution of the model problem and the comparison of each profile with a target one, we evolve to a new population, following the concepts of genetic algorithms and according to the fitness of each member of the previous population.
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