用多种地震信息预测油气的自组织人工神经网络模型  

Self-organized artificial neural network model for oil/gas prediction using various seismic information

作　　者：蔡煜东[1] 许伟杰[1] 

机构地区：[1]中国科学院上海冶金研究所,上海200050

出　　处：《石油物探》1994年第2期80-84,共5页Geophysical Prospecting For Petroleum

摘　　要：本文提出了油气预测的自组织人工神经网络模型，并选取一组标样作为研究对象，预测成功率达100％。结果表明，本方法性能良好，可望成为利用地震信息预测油气的一种有效辅助手段。This paper presents a so-called self-organized artificial neural netxvork model for oil /gas predietion,which has been applied to a set of sclected samp1es in 100% prediction rate of success.The results show that the method behaves well, which means a brilliant future for the method to be a Supplementary means for oil /gas prediction using seismic information.

关 键 词：预测 神经网络 油气勘探 地震勘探 

分 类 号：P631.443[天文地球—地质矿产勘探]