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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。
In this paper, a neural network model is proposed to predict the reservoir physical parameters (porosity and permeability) based on well logging curves. The results show that this is a viable approach.