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

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 。

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.