应用人工神经网络模型进行油层孔隙度、渗透率预测

APPLICATION OF A MANUALLY NEURAL NETWORK MODEL FOR PREDICTION OF RESERVOIR POROSITY AND PERMEABILITY

本文提出了应用神经网络模型，根据测井曲线进行储层物性参数（孔隙度、渗透率）预测的方法。研究结果表明，这是一种可行的方法。

This paper raises a method of using a manually neural network model to predict physical parameters of reservoirs(porosity,permeability)on the basis of logs.Research results indicate that this a feasible method.