节点文献
由地震属性向储层参数转换的综合效果分析
A comprehensive effect analysis of conversion from seismic attributes to reservoir parameters
【摘要】 利用逐步回归分析、神经网络、相关滤波、协克里金和非参数回归分析等方法 ,实现了由地震属性与测井资料联合应用对孔隙度参数的平面分布预测。通过实例分析 ,比较了各自的地质效果 ,归纳总结出各种方法的特点及应用条件
【Abstract】 By means of stepwise regression analysis, neural network, correlation filtering, CoKrige, and nonparametric regression, this article realizes the prediction of porosity distribution from seismic attributes and logging data. The behaviors of different methods and their conditions of application are summarized through the comparison of geological effects resulted from case analysis.
【关键词】 储层参数预测;
多元逐步回归;
神经网络;
相关滤波;
协克里金;
非参数回归;
【Key words】 prediction of reservoir parameter; stepwise multivariate regression; neural network; correlation filtering; Cokrige; nonparametric regression;
【Key words】 prediction of reservoir parameter; stepwise multivariate regression; neural network; correlation filtering; Cokrige; nonparametric regression;
- 【文献出处】 石油物探 ,Geophysical Prospecting For Petrole , 编辑部邮箱 ,2002年02期
- 【分类号】P631.4
- 【被引频次】57
- 【下载频次】361