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Well Testing Methodology for Multiple Vertical Wells with Well Interference and Radially Composite Structure during Underground Gas Storage

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  • Hongyang Chu

    (School of Civil and Resources Engineering, University of Science and Technology Beijing, Beijing 100083, China
    Harold Vance Department of Petroleum Engineering, Texas A&M University, College Station, TX 77843, USA
    State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, China)

  • Tianbi Ma

    (Petroleum Exploration and Production Research Institute, SINOPEC, Beijing 100083, China
    Department of Geosciences, The University of Tulsa, Tulsa, OK 74104, USA)

  • Zhen Chen

    (School of Civil and Resources Engineering, University of Science and Technology Beijing, Beijing 100083, China)

  • Wenchao Liu

    (School of Civil and Resources Engineering, University of Science and Technology Beijing, Beijing 100083, China)

  • Yubao Gao

    (School of Civil and Resources Engineering, University of Science and Technology Beijing, Beijing 100083, China)

Abstract

To achieve the goal of decarbonized energy and greenhouse gas reduction, underground gas storage (UGS) has proven to be an important source for energy storage and regulation of natural gas supply. The special working conditions in UGS cause offset vertical wells to easily interfere with target vertical wells. The current well testing methodology assumes that there is only one well, and the interference from offset wells is ignored. This paper proposes a solution and analysis method for the interference from adjacent vertical wells to target vertical wells by analytical theory. The model solution is obtained by the solution with a constant rate and the Laplace transform method. The pressure superposition is used to deal with the interference from adjacent vertical wells. The model reliability in the gas injection and production stages is verified by commercial software. Pressure analysis shows that the heterogeneity and interference in the gas storage are caused by long-term gas injection and production. As both the adjacent well and the target well are in the gas production stage, the pressure derivative value in radial flow is related to production rate, mobility ratio, and 0.5. Gas injection from offset wells will cause the pressure derivative to drop later. Multiple vertical wells from the Hutubi UGS are used to illustrate the properties of vertical wells and the formation.

Suggested Citation

  • Hongyang Chu & Tianbi Ma & Zhen Chen & Wenchao Liu & Yubao Gao, 2022. "Well Testing Methodology for Multiple Vertical Wells with Well Interference and Radially Composite Structure during Underground Gas Storage," Energies, MDPI, vol. 15(22), pages 1-20, November.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:22:p:8403-:d:968757
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    References listed on IDEAS

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    1. Crow, Daniel J.G. & Giarola, Sara & Hawkes, Adam D., 2018. "A dynamic model of global natural gas supply," Applied Energy, Elsevier, vol. 218(C), pages 452-469.
    2. Chen, Jiandong & Yu, Jie & Ai, Bowei & Song, Malin & Hou, Wenxuan, 2019. "Determinants of global natural gas consumption and import–export flows," Energy Economics, Elsevier, vol. 83(C), pages 588-602.
    3. Yang, Chunhe & Wang, Tongtao & Li, Yinping & Yang, Haijun & Li, Jianjun & Qu, Dan’an & Xu, Baocai & Yang, Yun & Daemen, J.J.K., 2015. "Feasibility analysis of using abandoned salt caverns for large-scale underground energy storage in China," Applied Energy, Elsevier, vol. 137(C), pages 467-481.
    4. Qyyum, Muhammad Abdul & Naquash, Ahmad & Haider, Junaid & Al-Sobhi, Saad A. & Lee, Moonyong, 2022. "State-of-the-art assessment of natural gas liquids recovery processes: Techno-economic evaluation, policy implications, open issues, and the way forward," Energy, Elsevier, vol. 238(PA).
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