陆文凯，王艳等．地层真电阻率恢复神经网络法．测井技术，１９９９，２３（１）：１９～２３水驱油田进入高含水阶段后，利用测井信息恢复地层真电阻率是一个关键问题。文中首先利用自回归线性预测技术消除地层厚度对测井曲线值的影响，然后从多条测井曲线提取有效特征，利用取心井训练神经网络，进而预测未知井，达到地层真电阻率恢复的目的。实际资料的处理结果表明，此法具有好的应用前景。 Lu Wenkai, Wang Yan and so on. Stratigraphic resistivity recovery neural network method. Logging Technology, 1999,23 (1): 19 ~ 23 After the water flooding field enters the high water cut stage, it is a key issue to recover the true resistivity of the formation by using well logging information. In this paper, the effect of formation thickness on well logging curve is first eliminated by using an autoregressive linear prediction technique. Then, effective features are extracted from multiple well logs, and cored wells are used to train the neural network to predict unknown wells to reach the real resistivity recovery purpose. The actual data processing results show that this method has good application prospects.