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本文从镇原地区长 7油层组储层特征出发 ,研究了岩心分析的岩性、孔隙度、渗透率、相渗等物性参数与排驱压力、饱和度中值压力、退汞效率、平均喉道半径等孔喉结构参数及其与测井电性特征的关系 ,建立了神经网络多组分岩性和孔、渗、饱解释模型 ,以及多元回归孔喉结构参数分析模型 ,取得了一定的应用效果 ,并采用含油产状—物性—电性综合方法 ,确定储层有效厚度。
Based on the reservoir characteristics of Chang 7 reservoir in Zhenyuan area, this paper studied the lithology, porosity, permeability, phase permeability and other physical parameters of core analysis and reservoir displacement pressure, median saturation pressure, mercury removal efficiency, average throat The pore-throat structure parameters and their relationship with the electrical characteristics of logging are established. The multi-component lithology, pore-permeability model, saturated model and multi-regression pore-throat structure parameter model of neural network are established. Application effect, and the use of oil production - physical - electrical integrated method to determine the effective reservoir thickness.