ARTIFICIAL NEURAL NETWORK SIMULATION ON HYDROCARBON MIGRATION AND ACCUMULATION

There are full of chaos and nonlinear characters in basin evolution, petroleum system evolution and hydrocarbon migration and accumulation, so it is impossible to simulate and evaluate the course of hydrocarbon migration and accumulation by simple using the traditional underground hydrodynamic equation. In this paper, the authors discuss the approaches and methods of how to combine the traditional dynamic simulation and artificial neural network simulation; that is, based on the dynamic simulation of the three dimension structure-sedimentary modeling, the authors use the unit entity model to alter the heterogeneous complex passage system into limited simple homogeneous body, calculate the facies and the drive forces of hydrocarbon through the traditional dynamic simulation, and solve such problems as the direction, velocity and quantity of hydrocarbon migration between the unit body by using the artificial neural network technology. A simulation software had been developed under this way. This software had been used to simulate hydrocarbon migration and accumulation in the Zhusan Depression. We got a good result which could well open out the complex mechanism and course of the secondary hydrocarbon migration and accumulation.