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Controls on Reservoirs Quality of the Upper Jurassic Mengyin Formation Sandstones in Dongying Depression, Bohai Bay Basin, Eastern China

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  • Shaochun Yang

    (School of Geosciences, China University of Petroleum, Qingdao 266580, China
    Key Laboratory of Deep Oil and Gas, China University of Petroleum (East China), Qingdao 266580, China)

  • Ya Wang

    (School of Geosciences, China University of Petroleum, Qingdao 266580, China
    Key Laboratory of Deep Oil and Gas, China University of Petroleum (East China), Qingdao 266580, China)

  • Shiqi Zhang

    (School of Geosciences, China University of Petroleum, Qingdao 266580, China
    Key Laboratory of Deep Oil and Gas, China University of Petroleum (East China), Qingdao 266580, China)

  • Yongchao Wang

    (School of Geosciences, China University of Petroleum, Qingdao 266580, China
    Key Laboratory of Deep Oil and Gas, China University of Petroleum (East China), Qingdao 266580, China)

  • Yifan Zhang

    (School of Geosciences, China University of Petroleum, Qingdao 266580, China
    Key Laboratory of Deep Oil and Gas, China University of Petroleum (East China), Qingdao 266580, China)

  • Yongfu Zhao

    (School of Geosciences, China University of Petroleum, Qingdao 266580, China
    Management Center of Oil and Gas Exploration, SINOPEC Shengli Oilfield, Dongying 257017, China)

Abstract

The Upper Jurassic Mengyin Formation sandstones are important targets for petroleum exploration in Dongying Depression of Bohai Bay Basin, Eastern China. Although the current burial depth of the Upper Jurassic Mengyin Formation sandstones is shallow (900–2500 m), the reservoir rocks are characterized by low porosity and low permeability due to the complex diagenetic modifications after deposition. Experimental tests and statistical methods, such as thin section, scanning electron microscopy (SEM), cathodoluminescence (CL), high pressure mercury injection (HPMI) and fluid inclusion analysis are conducted to delineate the mineralogical, petrographic and petro-physical characteristics. Results show that physical and chemical processes, including burial depth, burial and thermal history and pore fluid evolution, are both important for the diagenetic modifications that result in a variety changes in pore system and reservoir quality. According to numerical simulation of porosity evolution during lengthy burial and thermal history, porosity loss due to the early deep burial process under the high paleo-geothermal gradient can reach about 20%. Moreover, the burial history (effective stress and temperature) has a better guidance to reservoir quality prediction compared with current burial depth. The extensive compaction in sandstones also resulted in extremely low pore fluid flow during subsequent diagenetic processes, thus, the reaction products of dissolution cannot be removed, which would be precipitated as carbonate cements during stable reburial phase. Dissolution resulted from uncomformity-related meteoric flushing have been the most important porosity-enhancing factor in Mengyin Formation sandstones in spite of low thin section porosity averaged out to 3.22%. Secondary pores derived from dissolution of unstable silicates are more likely to develop in sandstones near the regional unconformity. The oil source fault activities may enhance the heterogeneity of reservoir rocks and control the reservoir quality by inducing micro-fractures and providing the main pathways for hydrocarbon migration.

Suggested Citation

  • Shaochun Yang & Ya Wang & Shiqi Zhang & Yongchao Wang & Yifan Zhang & Yongfu Zhao, 2020. "Controls on Reservoirs Quality of the Upper Jurassic Mengyin Formation Sandstones in Dongying Depression, Bohai Bay Basin, Eastern China," Energies, MDPI, vol. 13(3), pages 1-21, February.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:3:p:646-:d:315933
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    References listed on IDEAS

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    1. Tianqi Zhou & Chaodong Wu & Zhongkui Shi & Jialin Wang & Wen Zhu & Bo Yuan & Disheng Yang, 2019. "Multi-Scale Quantitative Characterization of Pore Distribution Networks in Tight Sandstone by integrating FE-SEM, HPMI, and NMR with the Constrained Least Squares Algorithm," Energies, MDPI, vol. 12(18), pages 1-27, September.
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    Cited by:

    1. Aobo Zhang & Shida Chen & Dazhen Tang & Shuling Tang & Taiyuan Zhang & Yifan Pu & Bin Sun, 2022. "The Study on Diagenetic Characteristics of Coal Measures Sandstone Reservoir in Xishanyao Formation, Southern Margin of the Junggar Basin," Energies, MDPI, vol. 15(15), pages 1-24, July.

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