CARBONIFEROUS RESERVOIR PREDICTION TEST USING ARTIFICIAL NEURAL NETWORK METHOD IN REGION OF EASTERN SICHUAN PROVINCE

An artificial neural network natural gas prediction method is put forward using seismic data with respect to the characteristics of deeper burial reservoir, and lower signal/ noise ratio in steep structure region of Eastern Sichuan Province. Specially the modeling migration technique is adopted for the structure . and prediction point position. Good results are obtained using these methods to process two seismic profiles.