摘要
本文以四川观音场构造的碳酸盐岩储层(P_(134)地层)样本作为对象,研究应用人工神经网络系统中反向传播模型预测油气的可行性。试验结果表明,该方法性能良好,预测成功率高,可望成为利用地震信息预测油气的一种有效辅助手段。
Taking the carbonate reservoir (P_(134) formation) in Sichuan Guanyinchang structure as an example,we research into the feasibility for using the back propagation model of artificial nerve network system to predict hydrocarbon reservoir. The predication result says that this technique will be an auxiliary means for hydrocarbon prediction using seismic data because of its good performance and high success rate.
出处
《石油地球物理勘探》
EI
CSCD
北大核心
1993年第5期634-638,共5页
Oil Geophysical Prospecting
关键词
人工神经网络
地震勘探
油气预测
artificial nerve network
computer application
hydrocarbon prediction
