多种地震信息预测油气的自组织神经树模型  

A SELF-ORGANIZING NERVE-TREE MODEL OF VARIOUS SEIMIC INFORMATION FOR HYDROCARBON PREDICTION

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

出　　处：《石油实验地质》1996年第1期111-116,共6页Petroleum Geology & Experiment

摘　　要：本文提出油气预测的自组织神经树模型，并选取一组标样作为研究对象，预测成功率达１００％，结果表明，该方法性能良好，可望成为利用地震信息预测油气的一种有效辅助手段。A self─organizing nerve tree model for hydrocarbon standard prediction was presented and a group of training samples were selected as study objective in the paper, in which the successful rate for prediction is 100%. Could be with high quantity, the model therefore could be a potential for hydrocarbon predition on seismic information.

关 键 词：地震信息 油气预测 人工神经网络 自组织神经树模型 

分 类 号：P631.49[天文地球—地质矿产勘探] TP18[天文地球—地质学]