Modeling of Oil and Water Migration Based on Chaos Genetic Algorithm Neural Network

摘要

An actual physical simulation model was constructed to simulate the course of oil and water migration. Under certain physical property conditions, we simulated the water injection well and the oil well on the physical simulation model, and continuous measured online the oil and water content of different area of model in three-dimensional space using the 512 routes resistivity measuring circuit, then we can obtain large numbers of simulation samples. Considering the issues that the relationship between the remaining oil and every parameters of water displacing oil is a complicated and nonlinear and the chaos genetic algorithm neural network has the ability of strong nonlinear function approach and global optimization, in this paper, the chaos genetic algorithm neural network was used to establish the oil and water migration model. We construct the structure of chaos genetic algorithm neural network. The experimental results show that this method is feasible and effective.