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鄂尔多斯盆地是我国典型的低渗透含油气盆地,受沉积、成岩以及构造作用的影响,具有孔隙结构复杂、非均质性严重和油、气、水分布规律不明显等特征,这导致了测井响应的复杂性,给测井参数的解释带来困难。以鄂尔多斯盆地S区长6储层为例,在大量文献调研基础上,基于搜集到的测井资料、岩心资料和地质资料等,首先开展了储层岩性特征、物性特征、电性特征和含油性特征的关系研究,得出储集层的岩性越好(泥质含量越低),则物性越好;其次对岩心数据进行了深度归位、插值滤波处理,在此基础上建立了相应的泥质含量、孔隙度、渗透率和含油饱和度等储层参数解释模型,并对所建模型进行精度检验;最后应用该模型对S区测井资料开展二次解释。研究表明,经过岩心深度归位及插值滤波处理后的岩心资料与测井资料相关性分析可靠,选用声波时差与岩心孔隙度回归建立的孔隙度模型、运用多元逐步回归法建立的渗透率模型精度较高。
The Ordos Basin is a typical low-permeability petroliferous basin in China. Due to the influence of sedimentation, diagenesis and tectonism, the Ordos Basin is characterized by complex pore structure, serious heterogeneity and insignificant distribution of oil, gas and water. The complexity of the response poses difficulties in interpretation of logging parameters. Taking Chang6 reservoir in S zone of Ordos basin as an example, based on a large number of literature research, based on the collected well logging data, core data and geological data, lithology characteristics, physical properties, electrical characteristics, Oil properties of the relationship between the conclusion that the lithology of the reservoir is better (lower shale content), then the physical properties of the better; second, the core data depth of the interpolation, interpolation filter processing, on this basis established Corresponding interpretation models of reservoir parameters such as muddy content, porosity, permeability and oil saturation, etc., And verify the accuracy of the model. Finally, this model is used to explain the logging data in S zone for the second time. The study shows that the correlation between core data and well logging data after core depth homing and interpolation filtering is reliable, and the porosity model established by acoustic time difference and core porosity regression is used. The accuracy of permeability model established by multivariate stepwise regression Higher.