节点文献
应用人工神经网络预测油田产量
THE APPLICATION OF ARTIFICIAL NEURAL NETWORK IN PREDICTING OUTPUT OF OIL FIELDS
【摘要】 Weng旋回模型是一种常用的石油资源定量评价方法,常被用来预测一个油田的产量。本文应用改进的逆向传播神经网络预测罗马什金油田年产量。与Weng旋回模型预测结果比较表明:人工神经网络是一种可行的石油产量外推预测方法。
【Abstract】 Weng cycle model which is usually used to predicte output of oil fields is an important method of quantitative analysis for oil resources. This article adopts back propagation neural network to predict the annual output of PoM oil field. The comparison with the predicting results of Weng cycle model indicts that artificial neural network is a feasible predicting method.
【关键词】 产量预测;
[Weng旋回模型];
[人工神经网络];
[逆向传播算法];
[函数连接];
【Key words】 production; prediction; Weng cycle model; artificial neural network; back propagation algorithm; function connection;
【Key words】 production; prediction; Weng cycle model; artificial neural network; back propagation algorithm; function connection;
- 【文献出处】 石油勘探与开发 ,PETROLEUM EXPLORATION AND DEVELOPMENT , 编辑部邮箱 ,1994年03期
- 【分类号】TE155
- 【被引频次】85
- 【下载频次】838