高阶神经网络在储层分布参数定量预测中的应用

Estimation of reservoir distribution parameters using higher-order neural network spproach

文中介绍了高阶神经网络的原理和方法,提出把高阶神经网络应用于储层分布参数的定量预测方法,并给出双河Ⅳ4(5-9)油组顶层孔隙度与深度的预测算例,并讨论了不同的储层分布参数的预测方法的优缺点.

This paper presents the methods of higher-order neural network on the application of reservoir distribution parameters, and gives an example on predicting sand porosity and top depth of ShuangHe field Ⅳ4（5-9）oilgroup, and point out some existent problems and opinions to be improved on predicting reservoir distribution parameters, and discusses some advantages and disadvantages when to apply in predicting reservoir distribution parameters.