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Article Navigation >  PETROLEUM GEOLOGY & EXPERIMENT  > 2018  >  40(1): 38-43
SHU Zhiguo, GUAN Hongmei, YU Lu, LIU Yun. Well logging evaluation of pore parameters for shale gas reservoirs in Jiaoshiba area, Sichuan Basin[J]. PETROLEUM GEOLOGY & EXPERIMENT, 2018, 40(1): 38-43. doi: 10.11781/sysydz201801038
Citation: SHU Zhiguo, GUAN Hongmei, YU Lu, LIU Yun. Well logging evaluation of pore parameters for shale gas reservoirs in Jiaoshiba area, Sichuan Basin[J]. PETROLEUM GEOLOGY & EXPERIMENT, 2018, 40(1): 38-43. doi: 10.11781/sysydz201801038
shu

Well logging evaluation of pore parameters for shale gas reservoirs in Jiaoshiba area, Sichuan Basin

doi: 10.11781/sysydz201801038
  • 1.

    SINOPEC Jianghan Oilfield Company, Qianjiang, Hubei 433124, China

  • 2. Research Institute of Petroleum Exploration and Development, SINOPEC Jianghan Oilfield Company, Wuhan, Hubei 430223, China

  • Received Date: 2017-10-13
  • Rev Recd Date: 2017-12-08
  • Publish Date: 2018-01-28
    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 conventional 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.

     

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