石油实验地质2018，Vol.40Issue(1)：38-43,6.DOI:10.11781/sysydz201801038
四川盆地焦石坝地区页岩气储层孔隙参数测井评价方法
Well logging evaluation of pore parameters for shale gas reservoirs in Jiaoshiba area, Sichuan Basin
摘要
Abstract
The shale reservoirs in the Jiaoshiba area of Sichuan Basin have the characteristics of low porosity and complex pore structure. Inorganic and organic pores, and micro cracks developed in the shale reservoirs in the Wufeng and Longmaxi formations. NMR logging played an important role in evaluating the porosity and pore structure of shale reservoirs in the study area. Based on core scale logging interpretation, we correlated conven-tional logging data with core NMR data, and established a total porosity and effective porosity interpretation model for shale reservoirs in the Jiaoshiba area. The total porosity interpretation model was based on the optimal matching between the total porosity analysis results of core NMR experiments and logging data. The optimization indicates that the multiple linear regression method is the best, that is, the total porosity and density logging, sonic time difference and compensated neutron logging provide multivariate linear fitting. The effective porosity interpretation model was based on the positive correlation between effective porosity and density logging of core NMR experiments, and the effective porosity could be calculated by density logging. Comparisons between the calculated results of porosity and core measurements showed that the absolute errors of 91.7％of the data were<0.5％, indicating a high quality evaluation of the pore parameters of shale reservoirs in the study area.关键词
核磁共振测井/孔隙参数/页岩气/储层/焦石坝地区/四川盆地Key words
NMR logging/pore parameters/shale gas/reservoir/Jiaoshiba area/Sichuan Basin分类
能源科技引用本文复制引用
舒志国,关红梅,喻璐,柳筠..四川盆地焦石坝地区页岩气储层孔隙参数测井评价方法[J].石油实验地质,2018,40(1):38-43,6.基金项目
国家科技重大专项(2016ZX05060)和中国石化科技项目(P17014-3)资助. （2016ZX05060）
