基于测井曲线特征和矿物组分的油页岩储层岩性识别方法

A Lithology Recognition Method of Oil Shale Reservoir Based on Logging Curve Characteristics and Mineral Composition

某凹陷沙河街组四段下亚段是一套以油页岩为主的致密油储层,勘探实践证明其具有广阔的前景。在岩石矿物试验基础上,将岩性归为6类,并分别进行了重新命名。结合测井曲线资料,总结出不同岩性典型曲线特征及其响应值范围;同时建立了全体积模型,应用最优化手段对岩石的矿物组分进行计算。应用上述2种方法对单井岩性进行识别,并与X衍射试验岩性结果进行对比。结果表明,该方法可以准确、有效地对研究区目的层岩性进行识别,为研究区油页岩储层测井综合评价奠定了坚实的基础。

The lower member of Es4 in a depression was a set of tight reservoirs with oil shale,it was proved by exploration practice that it has wide prospects for oil and gas exploration.Six types of lithologic properties were summed up on the basis of rock mineral experiments and they were renamed respectively.In combination with logging data,the typical lithologic curve characteristics and logging response value range were summarized.A total volumetric model was established and a optimized method was used to calculate the volume of the mineral composition of the rocks.The single well lithology can be identified by using the above 2 methods.Compared with the result of X-diffraction experiment,the lithologic recognition results show that the method can be accurately and efficiently used for lithology identification in study area.The research results lay a solid foundation for reservoir logging evaluation of oil shale formation in the study area.