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Multiporosity and Multiscale Flow Characteristics of a Stimulated Reservoir Volume (SRV)-Fractured Horizontal Well in a Tight Oil Reservoir

Author

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  • Long Ren

    (School of Petroleum Engineering, Xi’an Shiyou University, Xi’an 710065, China
    Shaanxi Key Laboratory of Advanced Stimulation Technology for Oil & Gas Reservoirs, Xi’an 710065, China)

  • Wendong Wang

    (School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China)

  • Yuliang Su

    (School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China)

  • Mingqiang Chen

    (School of Petroleum Engineering, Xi’an Shiyou University, Xi’an 710065, China
    Shaanxi Key Laboratory of Advanced Stimulation Technology for Oil & Gas Reservoirs, Xi’an 710065, China)

  • Cheng Jing

    (School of Petroleum Engineering, Xi’an Shiyou University, Xi’an 710065, China
    Shaanxi Key Laboratory of Advanced Stimulation Technology for Oil & Gas Reservoirs, Xi’an 710065, China)

  • Nan Zhang

    (School of Petroleum Engineering, Xi’an Shiyou University, Xi’an 710065, China
    Shaanxi Key Laboratory of Advanced Stimulation Technology for Oil & Gas Reservoirs, Xi’an 710065, China)

  • Yanlong He

    (School of Petroleum Engineering, Xi’an Shiyou University, Xi’an 710065, China
    Shaanxi Key Laboratory of Advanced Stimulation Technology for Oil & Gas Reservoirs, Xi’an 710065, China)

  • Jian Sun

    (School of Petroleum Engineering, China University of Petroleum (Beijing), Beijing 102249, China)

Abstract

There are multiporosity media in tight oil reservoirs after stimulated reservoir volume (SRV) fracturing. Moreover, multiscale flowing states exist throughout the development process. The fluid flowing characteristic is different from that of conventional reservoirs. In terms of those attributes of tight oil reservoirs, considering the flowing feature of the dual-porosity property and the fracture network system based on the discrete-fracture model (DFM), a mathematical flow model of an SRV-fractured horizontal well with multiporosity and multipermeability media was established. The numerical solution was solved by the finite element method and verified by a comparison with the analytical solution and field data. The differences of flow regimes between triple-porosity, dual-permeability (TPDP) and triple-porosity, triple-permeability (TPTP) models were identified. Moreover, the productivity contribution degree of multimedium was analyzed. The results showed that for the multiporosity flowing states, the well bottomhole pressure drop became slower, the linear flow no longer arose, and the pressure wave arrived quickly at the closed reservoir boundary. The contribution ratio of the matrix system, natural fracture system, and network fracture system during SRV-fractured horizontal well production were 7.85%, 43.67%, and 48.48%, respectively in the first year, 14.60%, 49.23%, and 36.17%, respectively in the fifth year, and 20.49%, 46.79%, and 32.72%, respectively in the 10th year. This study provides a theoretical contribution to a better understanding of multiscale flow mechanisms in unconventional reservoirs.

Suggested Citation

  • Long Ren & Wendong Wang & Yuliang Su & Mingqiang Chen & Cheng Jing & Nan Zhang & Yanlong He & Jian Sun, 2018. "Multiporosity and Multiscale Flow Characteristics of a Stimulated Reservoir Volume (SRV)-Fractured Horizontal Well in a Tight Oil Reservoir," Energies, MDPI, vol. 11(10), pages 1-14, October.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:10:p:2724-:d:175038
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    References listed on IDEAS

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    1. Yu Wang & Xiao Li & Jianming He & Zhiheng Zhao & Bo Zheng, 2016. "Investigation of Fracturing Network Propagation in Random Naturally Fractured and Laminated Block Experiments," Energies, MDPI, vol. 9(8), pages 1-15, July.
    2. Chao Tang & Xiaofan Chen & Zhimin Du & Ping Yue & Jiabao Wei, 2018. "Numerical Simulation Study on Seepage Theory of a Multi-Section Fractured Horizontal Well in Shale Gas Reservoirs Based on Multi-Scale Flow Mechanisms," Energies, MDPI, vol. 11(9), pages 1-20, September.
    3. Wendong Wang & Yuliang Su & Bin Yuan & Kai Wang & Xiaopeng Cao, 2018. "Numerical Simulation of Fluid Flow through Fractal-Based Discrete Fractured Network," Energies, MDPI, vol. 11(2), pages 1-15, January.
    4. Guangfeng Liu & Zhan Meng & Yan Cui & Lu Wang & Chenggang Liang & Shenglai Yang, 2018. "A Semi-Analytical Methodology for Multiwell Productivity Index of Well-Industry-Production-Scheme in Tight Oil Reservoirs," Energies, MDPI, vol. 11(5), pages 1-19, April.
    5. Zhaohui Chong & Xuehua Li & Xiangyu Chen & Ji Zhang & Jingzheng Lu, 2017. "Numerical Investigation into the Effect of Natural Fracture Density on Hydraulic Fracture Network Propagation," Energies, MDPI, vol. 10(7), pages 1-33, July.
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    1. Jianchao Cai & Zhien Zhang & Qinjun Kang & Harpreet Singh, 2019. "Recent Advances in Flow and Transport Properties of Unconventional Reservoirs," Energies, MDPI, vol. 12(10), pages 1-5, May.

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