Hu Yuan, Chen Kaiyuan, Zhao Lei, Sun Yang, Li Geng. Application of high-resolution sequence stratigraphy framework in reservoir prediction:A case study of 2nd member of Shuangyang Formation in Moliqing Oilfield[J]. PETROLEUM GEOLOGY & EXPERIMENT, 2013, 35(1): 98-103. doi: 10.11781/sysydz201301098
Citation: Hu Yuan, Chen Kaiyuan, Zhao Lei, Sun Yang, Li Geng. Application of high-resolution sequence stratigraphy framework in reservoir prediction:A case study of 2nd member of Shuangyang Formation in Moliqing Oilfield[J]. PETROLEUM GEOLOGY & EXPERIMENT, 2013, 35(1): 98-103. doi: 10.11781/sysydz201301098

Application of high-resolution sequence stratigraphy framework in reservoir prediction:A case study of 2nd member of Shuangyang Formation in Moliqing Oilfield

doi: 10.11781/sysydz201301098
  • Received Date: 2012-03-08
  • Rev Recd Date: 2012-12-10
  • Publish Date: 2013-01-28
  • With multiple sources and multiple stages for strike-slip, the Moliqing Fault Basin has a complicated fracture pattern, and the source stage and reserve distribution still remain discussing. By means of high-resolution sequence stratigraphy, combining lithologic, electric and seismic data together, the 2nd member of the Shuangyang Formation in the Moliqing Oilfield has been divided into 4 4th-grade sequences (equivalent to mid-term base-level cycles) and 13 short-term base-level cycles. A high-resolution sequence stratigraphy framework of the MoliqingOilfield has been established. Grain size, seismic attribute and facies analyses have been applied to study sedimentary micro-facies. Using facies-constrained stochastic modeling method, the reservoir distributing features of high-exploitation blocks A and B have been fitted and the optimal parameters and models have been selected. Then these parameters are applied to the reservoir prediction in blocks C and D which are in low exploitation degree. Six oil-bearing reservoirs in the 2nd member of the Shuangyang Formation in the south of block C have been predicted with this method. The change from qualitative analysis to semi-quantitative and quantitative analyses in reservoir research provides more reliable foundation for the exploration and development of lithologic reservoirs.

     

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