Predicting reservoir parameter based on simulation annealing algorithms

Through integrating seismic data,borehole information,and a prior geologic knowledge organically, the article discusses the prediction method of reservoir parameter in order to reveal internal details and vertical-lateral variation features of reservoir .With the fusion of Artificial Neural Networks and simulated annealing arithmetic,we can solve the question of nonlinear optimization and obtain complicated relation of seismic information and reservoir parameter. It will supply intuitionistic and reliable stratigraphic parameter profiles,i.e.porosity,sand-shale content,hydrous saturation,and permeation profiles,etc., for geologist to do reservoir characteristic description and reservoir lateral prediction .