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Study on Critical Drawdown Pressure of Sanding for Wellbore of Underground Gas Storage in a Depleted Gas Reservoir

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  • Rui Song

    (State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, China)

  • Ping Zhang

    (PipeChina West East Gas Pipeline Company, Shanghai 200120, China)

  • Xiaomin Tian

    (PipeChina West East Gas Pipeline Company, Shanghai 200120, China)

  • Famu Huang

    (PipeChina West East Gas Pipeline Company, Shanghai 200120, China)

  • Zhiwen Li

    (PipeChina West East Gas Pipeline Company, Shanghai 200120, China)

  • Jianjun Liu

    (State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, China)

Abstract

Accurately predicting the critical differential pressure (CDP) of sand production contributes to improving the peak-shaving capacity and ensuring safe operation of underground gas storage (UGS). The CDP of sanding production in the target wells of the UGS was predicted coupling laboratory tests, inversed analysis with well logging data and numerical simulations. The in-situ mechanical properties of rock were estimated by coupling the laboratory test results and well-logging data. The in-situ stress field of the target formation was then deduced through inversed analysis coupled finite element method (FEM) and genetic algorithm (GA), based on the existing known stress data and the seismic data of the measured points. Using the critical strain limit (CSL) of 5‰ as the sanding criterion of the wellbore, the CDPs of the gas production in the UGS were predicted, which was 5.59 MPa, 3.98 MPa, and 4.01 MPa for well #1, well #2 and well #3, when the pressure of the gas storage was 30 MPa, respectively. The simulation results showed good agreements with the field-measured benchmark data of well #2 and well #3. The effects of moisture contents (ranging from 10 to ~40%), and cycling times of gas injection and withdrawal (ranging from 40 to ~200 cycling times) on the critical differential pressure were simulated and analyzed. The results indicated that the CDP decreased with an increase of the moisture content and the cycling times. This study provides a reliable tool for the sanding prediction of the wellbore in the UGS.

Suggested Citation

  • Rui Song & Ping Zhang & Xiaomin Tian & Famu Huang & Zhiwen Li & Jianjun Liu, 2022. "Study on Critical Drawdown Pressure of Sanding for Wellbore of Underground Gas Storage in a Depleted Gas Reservoir," Energies, MDPI, vol. 15(16), pages 1-18, August.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:16:p:5913-:d:888644
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    References listed on IDEAS

    as
    1. Francesca Verga, 2018. "What’s Conventional and What’s Special in a Reservoir Study for Underground Gas Storage," Energies, MDPI, vol. 11(5), pages 1-22, May.
    2. Zuloaga, Pavel & Yu, Wei & Miao, Jijun & Sepehrnoori, Kamy, 2017. "Performance evaluation of CO2 Huff-n-Puff and continuous CO2 injection in tight oil reservoirs," Energy, Elsevier, vol. 134(C), pages 181-192.
    3. Song, Rui & Cui, Mengmeng & Liu, Jianjun, 2017. "Single and multiple objective optimization of a natural gas liquefaction process," Energy, Elsevier, vol. 124(C), pages 19-28.
    4. Song, Rui & Liu, Jianjun & Yang, Chunhe & Sun, Shuyu, 2022. "Study on the multiphase heat and mass transfer mechanism in the dissociation of methane hydrate in reconstructed real-shape porous sediments," Energy, Elsevier, vol. 254(PC).
    5. Song, Rui & Sun, Shuyu & Liu, Jianjun & Yang, Chunhe, 2021. "Pore scale modeling on dissociation and transportation of methane hydrate in porous sediments," Energy, Elsevier, vol. 237(C).
    6. Ali, Aliyuda, 2021. "Data-driven based machine learning models for predicting the deliverability of underground natural gas storage in salt caverns," Energy, Elsevier, vol. 229(C).
    7. Song, Rui & Feng, Xiaoyu & Wang, Yao & Sun, Shuyu & Liu, Jianjun, 2021. "Dissociation and transport modeling of methane hydrate in core-scale sandy sediments: A comparative study," Energy, Elsevier, vol. 221(C).
    8. Sang-Hyun Park & Kwang-Hyun Bang & Jong-Rae Cho, 2021. "Structural Integrity Evaluation of a Reactor Cavity during a Steam Explosion for External Reactor Vessel Cooling," Energies, MDPI, vol. 14(12), pages 1-11, June.
    9. Siavash Honari & Ehsan Seyedi Hosseininia, 2021. "Particulate Modeling of Sand Production Using Coupled DEM-LBM," Energies, MDPI, vol. 14(4), pages 1-32, February.
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