期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
Predicting formation lithology from log data by using a neural network 被引量:6
1
作者 Wang Kexiong Zhang Laibin 《Petroleum Science》 SCIE CAS CSCD 2008年第3期242-246,共5页
In order to increase drilling speed in deep complicated formations in Kela-2 gas field, Tarim Basin, Xinjiang, west China, it is important to predict the formation lithology for drilling bit optimization. Based on the... In order to increase drilling speed in deep complicated formations in Kela-2 gas field, Tarim Basin, Xinjiang, west China, it is important to predict the formation lithology for drilling bit optimization. Based on the conventional back propagation (BP) model, an improved BP model was proposed, with main modifications of back propagation of error, self-adapting algorithm, and activation function, also a prediction program was developed. The improved BP model was successfully applied to predicting the lithology of formations to be drilled in the Kela-2 gas field. 展开更多
关键词 Kela-2 gas field neural network improved back-propagation (BP) model log data lithology prediction
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部