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An Analytical Solution for Transient Productivity Prediction of Multi-Fractured Horizontal Wells in Tight Gas Reservoirs Considering Nonlinear Porous Flow Mechanisms

Author

Listed:
  • Qiang Wang

    (Research Institute of Petroleum Exploration and Development, Beijing 100083, China
    Sinopec Star (Beijing) New Energy Research Institute Co., Ltd., Beijing 100083, China)

  • Jifang Wan

    (Research Institute of Petroleum Exploration and Development, Beijing 100083, China
    CNPC Engineering Technology R&D Company Limited, Beijing 102206, China)

  • Langfeng Mu

    (Missouri University of Science and Technology, Rolla, MO 65409, USA
    Chinese Academy of Geological Sciences, Beijing 100037, China)

  • Ruichen Shen

    (CNPC Engineering Technology R&D Company Limited, Beijing 102206, China)

  • Maria Jose Jurado

    (Institute of Earth Sciences Jaume Almera, CSIC, 08028 Barcelona, Spain)

  • Yufeng Ye

    (National Oil and Gas Exploration and Development Company Limited, Beijing 100034, China)

Abstract

Multi-fractured horizontal wells (MFHW) is one of the most effective technologies to develop tight gas reservoirs. The gas seepage from tight formations in MFHW can be divided into three stages: early stage with high productivity, transitional stage with declined productivity, and final stage with stable productivity. Considering the characteristics and mechanisms of porous flows in different regions and at different stages, we derive three coupled equations, namely the equations of porous flow from matrix to fracture, from fracture to near wellbore region, and from new wellbore region to wellbore then an unstable productivity prediction model for a MFHW in a tight gas reservoir is well established. Then, the reliability of this new model, which considers the multi-fracture interference, is verified using a commercial simulator (CMG). Finally, using this transient productivity prediction model, the sensitivity of horizontal well’s productivity to several relevant factors is analyzed. The results illustrate that threshold pressure gradient has the most significant influence on well productivity, followed by stress sensitivity, turbulence flow, and slippage flow. To summarize, the proposed model has demonstrated a potential practical usage to predict the productivity of multi-stage fractured horizontal wells and to analyze the effects of certain factors on gas production in tight gas reservoirs.

Suggested Citation

  • Qiang Wang & Jifang Wan & Langfeng Mu & Ruichen Shen & Maria Jose Jurado & Yufeng Ye, 2020. "An Analytical Solution for Transient Productivity Prediction of Multi-Fractured Horizontal Wells in Tight Gas Reservoirs Considering Nonlinear Porous Flow Mechanisms," Energies, MDPI, vol. 13(5), pages 1-20, March.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:5:p:1066-:d:326699
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    References listed on IDEAS

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    1. Yongfei Yang & Zhihui Liu & Jun Yao & Lei Zhang & Jingsheng Ma & S. Hossein Hejazi & Linda Luquot & Toussaint Dono Ngarta, 2018. "Flow Simulation of Artificially Induced Microfractures Using Digital Rock and Lattice Boltzmann Methods," Energies, MDPI, vol. 11(8), pages 1-17, August.
    2. 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.
    3. Fanhui Zeng & Fan Peng & Jianchun Guo & Jianhua Xiang & Qingrong Wang & Jiangang Zhen, 2018. "A Transient Productivity Model of Fractured Wells in Shale Reservoirs Based on the Succession Pseudo-Steady State Method," Energies, MDPI, vol. 11(9), pages 1-16, September.
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    Cited by:

    1. Kaixuan Qiu & Heng Li, 2020. "An Analytical Model for Production Analysis of Hydraulically Fractured Shale Gas Reservoirs Considering Irregular Stimulated Regions," Energies, MDPI, vol. 13(22), pages 1-26, November.
    2. Reza Rezaee, 2022. "Editorial on Special Issues of Development of Unconventional Reservoirs," Energies, MDPI, vol. 15(7), pages 1-9, April.
    3. Samuel O. Osisanya & Ajayi Temitope Ayokunle & Bisweswar Ghosh & Abhijith Suboyin, 2021. "Modified Horizontal Well Productivity Model for a Tight Gas Reservoir Subjected to Non-Uniform Damage and Turbulence," Energies, MDPI, vol. 14(24), pages 1-18, December.
    4. Meng Gao & Chenji Wei & Xiangguo Zhao & Ruijie Huang & Jian Yang & Baozhu Li, 2022. "Production Forecasting Based on Attribute-Augmented Spatiotemporal Graph Convolutional Network for a Typical Carbonate Reservoir in the Middle East," Energies, MDPI, vol. 16(1), pages 1-21, December.

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