电成像测井资料在砂砾岩油气藏岩性识别中的应用

徐家围子断陷深层砂砾岩段是该区重要的目的储层,该类储层非均质性强、岩性复杂，常规测井响应曲线规律性差，难以准确识别储层岩性。本文利用地层微电阻率成像测井(FMI)资料，并充分结合岩心、薄片等信息，将研究区砂砾岩体典型岩石的FMI图像作为模板，总结相应的FMI图像特征，建立各种岩性在FMI图像上的识别模式，以此定性分析法指导其它井段的岩性识别。在实际应用中，利用砂砾岩体各种岩性的FMI图像识别模式，对研究区几口井目的层段进行了岩性识别，识别结果与岩心、薄片定名资料的符合率达82.4%。

An Application of Resistivity Imaging Logging Data in Lithologic Identification of Glutenite Reservoir

Deep glutenite segment in Xujiaweizi fault depression is very important subject reservoir in this zone.Owing to heterogeneous reservoir,complex reservoir lithology and bad regularity of conventional logging response curve,it is difficult to identified reservoir lithology accurately.The data of formation micro-resistivity imaging log was based,sufficiently combined the information of core and thin layers,FMI image which corresponded to classic rock of glutenite body in region of interest was taken as a template,the relevant feature of FMI image was summarized,the identification models of different lithology in FMI image were established,which were used to qualitative-analysis and guide else hole section to proceed lithologic identification.In practical application,the FMI image identification models of different glutenite are applied to identify the lithology of several wells’intended interval in region of interest,the coincidence rate between the result of identification and denominate data of core wafer reaches 82.4%.