摘要
逻辑斯特（Ｌｏｇｉｓｔｉｃ）模型常被用来预测油田晚期勘探阶段的石油资源，还可用来预测一个油区的含水率变化过程。文中应用改进的神经网络算法和结构，预测油田的含水率变化趋势；并与Ｌｏｇｉｓｔｉｃ模型预测结果进行了比较，结果表明；神经网络是一种可行的石油资源外推预测方法。
Logistic model is usually used to predict the oil resources in the later period ofoil explorati on and the water-bearing content.The improved algorithm and archi tecture ofneural network was used to predict the water-bearing content of oil field.Compared with theLogistic model. neural network is feasible for oil-resource predicting.
出处
《石油大学学报（自然科学版）》
CSCD
1995年第3期38-41,共4页
Journal of the University of Petroleum,China(Edition of Natural Science)
关键词
神经网络
外推法
预测
油田开发
含水率
Nerve network
Extrapolation:Prediction
Oilfields: Development latestage:Water cut
