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Article Navigation >  PETROLEUM GEOLOGY & EXPERIMENT  > 2016  >  38(2): 273-277
Luo Jin, Li Minghua, Guo Libin, Zhong Qingliang, Kong Jinping, Zha Guangyu. Methodology of reservoir prediction in areas with complicated lithology in saline lake basins:A case study of the Qianjiang Sag, Jianghan Basin[J]. PETROLEUM GEOLOGY & EXPERIMENT, 2016, 38(2): 273-277. doi: 10.11781/sysydz201602273
Citation: Luo Jin, Li Minghua, Guo Libin, Zhong Qingliang, Kong Jinping, Zha Guangyu. Methodology of reservoir prediction in areas with complicated lithology in saline lake basins:A case study of the Qianjiang Sag, Jianghan Basin[J]. PETROLEUM GEOLOGY & EXPERIMENT, 2016, 38(2): 273-277. doi: 10.11781/sysydz201602273
shu

Methodology of reservoir prediction in areas with complicated lithology in saline lake basins:A case study of the Qianjiang Sag, Jianghan Basin

doi: 10.11781/sysydz201602273
  • 1.

    Exploration & Development Research Institute of SINOPEC Jianghan Oilfield Branch Company, Wuhan, Hubei 430223, China

  • 2. Geophysical Research Institute of SINOPEC Jianghan Oilfield Branch Company, Wuhan, Hubei 430035, China

  • Received Date: 2015-08-06
  • Rev Recd Date: 2016-02-03
  • Publish Date: 2016-03-28
    Abstract
  • Sandstone reservoirs were predicted so as to propose a new method for the studies of reservoirs with complicated lithology in saline lake basins. The study area was the semi-saline period in the oil group no.0 in the fourth member of the Paleogene Qianjiang Formation (E2q40) in areas W, G, and H in the Qianjiang Sag of Jianghan Basin. The method was called "four-definition", which defines sedimentary facies through integrating geologic data with seismic data, defines markers through petrophysical modeling, defines geological boundaries through comprehensive multi-attribute geological analysis, and defines stratigraphic thicknesses through definitive inversion. Applications in the Qianjiang Sag succeeded in finding several high-yielding oil pools of beach bar facies, showing that the method can improve the prediction accuracy in reservoirs with complicated lithology.

     

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