Abstract：Various characteristic parameters were uttermostly derived from seismic data analysis.Then various seismic parameters and the distributions were determined definitely.The prediction and verification of known J oil'sand body in the Langgu depression have been done successfully by making use of several methods such as integration,discrimination,unsupervised artificial neural network and supervised artificial eural network.What is more,forward and inverse predictions of B and C sand bodies have been achieved successfully.
倪逸, 郭玲萱, 李萍. 利用多种模式识别法预测廊固拗陷含油砂体[J]. 石油地球物理勘探, 1995, 30(2): 264-271.
Ni Yi, Guo Lingxuan, Li Ping. Predicting oil sand body in the Langgu depression by several pattern recognition methods. OGP, 1995, 30(2): 264-271.
