摘要
以测井资料和薄片分析资料为基础,运用主成分分析对测井曲线进行重组,提取主成分,再应用神经网络技术对碳酸盐岩岩性进行快速识别,此方法提高了网络的收敛性和稳定性。
In this paper,principal component analysis was used to logs restructuring,extract the main ingredients,then applyneural network technology for rapid identification of carbonate rocks,this method improve the convergence and stability of thenetwork.
作者
杨冬
yang dong(School of Earth Science and Engineering,Xi′an Shiyou University,Xi′an 710075)
出处
《石化技术》
CAS
2016年第1期58-58,共1页
Petrochemical Industry Technology
关键词
BP
神经网络
岩性识别
碳酸盐岩
BP
neural network
lithology identification carbonate rock
