【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 ,实现了由地震资料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更多还原

【Abstract】 The plane distribution of porosity has been predicted through the utilizing of seismic data and well data. Five predict methods have been used like step by step regression analysis, neural network, correlation filter, cokriging and nonparametric regression analysis. The geological effects of these methods have been compared through the actual examples, and then the different characteristics and the conditions of these methods have been summarized.更多还原