在多种电性参数对比的基础上，优选深侧向电阻率作为含油饱和度解释的基本参数，并建立了解释模型。
Base on contrasting several electric parameters, this paper screens the deep lateral logging resistivity to interpreting oil saturation, and builds its model.
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.
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.
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.
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