特低渗砂砾岩储层的测井评价

特低渗砂砾岩储层非均质性强,油水层判别困难。针对此,提出了采用测井相分析技术以及基于岩石物理相类型建立测井参数评价模型的储层判别方法。方法的思路是,基于测井相分析进行储层岩石物理相划分，使同类岩石物理相具有相似的岩石学特征,孔-渗关系呈规律性变化,表现出相似的岩电关系和测井响应特征；针对不同岩石物理相类型建立储层参数解释模型,真正考虑储层在岩性和物性上的变化,将地层的非均质性问题转变为均质性问题；选取与油水层关系密切的测井参数或计算参数,采用主成分分析等数学方法,提取反映油水层特征的综合特征参数,进行油水层判别。对方法进行了软件开发,并应用于研究区15口井的测井资料处理。结果表明,该方法有效地提高了储层参数解释精度和油水层判别准确度。

Logging evaluation of low-permeability glutenite reservoir

Glutenite reservoir with super-low permeability has strong heterogeneity,and it is difficult to judge oil and water layers.Aiming at the problem,a reservoir discrimination method was proposed,which uses electrofacies analysis technique,and establishes logging parameter evaluation model based on the types of petrophysical facies.The basic principles are as follows:the types of petrophysical facies are divided by electrofacies analysis making the same petrophysical facies with similar rock-logging relation and logging response.Reservoir parameter interpretation models are established aiming at different petrophysical facies,which really consider the changes of reservoir on lithology and physical properties,and transform heterogeneity problem of formations into homogeneity problem.Based on the calculation,we select logging parameters or reservoir parameters and utilize mathematical methods (such as principal component analysis,etc) to extract integrated characteristics parameters reflecting oil/water layer features and identify oil and water layers.Software was developed based on the method,and was applied to the logging data processing of 15 wells in the research area.The results show that the method effectively improved the precision of reservoir parameter interpretation and the accuracy of oil/water layer identification.