Artificial Neural Network Model of Hydrocarbon Migration and Accumulation

Chonglong Wu¹, Hai-bin Liu², and Xiaoping Mao^3
1China University of Geoscience, Wuhan, China
²School of Management, CUMT, Beijing, China
³China University of Geosciences, Energy College, Beijing, China

Based on the dynamic simulation of the 3-D structure-sedimentary modeling, the unit entity model has been adopted to transfer the heterogeneous complex passage system into limited simple homogeneous entity, and then the traditional dynamic simulation has been used to calculate the phase and the drive forces of the hydrocarbon, and the artificial neural network(ANN) technology has been applied to resolve such problems as the direction, velocity and quantity of the hydrocarbon migration among the unit entities. Through simulating of petroleum migration and accumulation in ZhuIII depression, the complex mechanism of hydrocarbon migration and accumulation has been opened out.

AAPG Search and Discovery Article #90091©2009 AAPG Hedberg Research Conference, May 3-7, 2009 - Napa, California, U.S.A.