An Automatic History Matching Method of Reservoir Numerical Simulation Based on Improved Genetic Algorithm

AbstractReservoir history matching provides an effective way to accurately understand petrophysical characteristics and evaluate reservoir development potential. At present, history matching methods mainly include manual work and automatic history matching. Compared with manual history matching, automatic history matching can not only avoid randomness and blindness caused by researchers, but also reduce the workload significantly. In this paper, an automatic history matching method of reservoir numerical simulation based on improved genetic algorithm was proposed, the validity of which was proved by taking the SZ 36-1 typical reservoir of Bohai oilfield for example. Results show that the method proposed in this paper is effective for reservoir history matching problems due to its strong reliability and fast convergence speed