利用改进的BP算法，采用深、浅侧向电阻率、声波时差测井建立了油层、水淹层的识别模型。
With improved BP network, Adopting deep, short resistivity, and acoustic logging, the model to recognize oil layer and water flooded layer is established.
本文在实际分析资料的基础上，通过对深侧向电阻率曲线的油气校正，建立了“电阻率还原法”泥质含量测井解释方程。
Based on the practical data analysis, a "resistivity restoring" method to determine shale content is set up by hydrocarbon correction for deep lateral resistivity logs.
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