Oil reservoir production forecasting with uncertainty estimation using genetic algorithms
Published: Jan 20, 2003
Abstract
A genetic algorithm is applied to the problem of conditioning the petrophysical rock properties of a reservoir model on historic production data. This is a difficult optimization problem where each evaluation of the objective function implies a flow simulation of the whole reservoir. Due to the high computing cost of this function, it is imperative to make use of an efficient optimization method to find a near optimal solution using as few...
Paper Details
Title
Oil reservoir production forecasting with uncertainty estimation using genetic algorithms
Published Date
Jan 20, 2003
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