微电阻率成像测井在识别页岩岩相与裂缝中的应用  

Application of micro-resistivity image logging in identifying shale Facies and fractures

作　　者：黄振华[1] 程礼军[1] 刘俊峰[1] 谢庆明[1] 王飞[1] 

机构地区：[1]国土资源部页岩气资源勘查重点实验室重庆地质矿产研究院,重庆400042

出　　处：《煤田地质与勘探》2015年第6期121-123,127,共4页Coal Geology & Exploration

基　　金：国家高技术研究发展计划(863计划)项目(2013AA064503);重庆市自然科学基金项目(cstc2013yykf C90001)

摘　　要：页岩气储层微电阻率成像测井的应用与研究,目前国内还处于起步阶段。与常规储层相比,页岩气储层岩性更加复杂,矿物类型较多,裂缝识别难度大。通过对渝东南地区Q1井微电阻率成像测井资料的精细标定与分析,结合页岩气储层8块岩心薄片、37块岩心矿物成分,总结常规测井曲线特征,引入图版形式准确区分出该地区4种页岩岩相识别模式。在此基础上选取有利岩相,自动拾取裂缝并定量计算了该井裂缝孔隙度等参数,确定该井最大主应力近东西方向,提高了页岩气勘探开发效率,为后期压裂改造提供了可靠依据。The application and study of micro-resistivity image logging to the shale gas reservoir are in the initial stage. Compared with conventional reservoir, the lithology of shale gas reservoir is more complicated, the mineral type is more, the fracture identification is harder. By fine calibrating and analyzing the micro-resistivity image logs, combining with 8 core-slices and of mineral composition 37 cores of well Q1 shale gas reservoir in the southeast of Chongqing, summarizing conventional well logs, we can explore 4 recognition modes of shale facies with plate. Selectting favorable shale facies on this basis, auto-picking up and quantitative evaluating fractures in the area, can improve the efficiency of exploration and development, provide reliable basis to fracturing.

关 键 词：微电阻率成像测井 页岩岩相 矿物组分 裂缝 

分 类 号：P631[天文地球—地质矿产勘探]