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Research on Gas Channeling Identification Using the Fuzzy Comprehensive Evaluation Method

Author

Listed:
  • Yang Liu

    (PetroChina Research Institute of Petroleum Exploration and Development, Beijing 100083, China)

  • Mingqiang Hao

    (PetroChina Research Institute of Petroleum Exploration and Development, Beijing 100083, China)

  • Ran Bi

    (PetroChina Research Institute of Petroleum Exploration and Development, Beijing 100083, China)

  • Chaoliang Bian

    (PetroChina Jilin Oilfield, Songyuan 138000, China)

  • Xiaoqing Wang

    (Institute of Unconventional Oil and Gas Science and Technology, China University of Petroleum, Beijing 102249, China)

Abstract

With the development of the petroleum industry and advancements in technology, gas injection techniques have gradually matured and become an important means to enhance oil recovery in reservoir development. Gas channeling is a major challenge in the process of gas injection development. The presence of gas channeling can lead to a decrease in the swept volume of gas flooding, severely affecting the effectiveness of gas injection development. This paper focuses on low-permeability reservoirs, comprehensively analyzing the development characteristics of low-permeability reservoirs and the dynamic characteristics of gas flooding production. It selects and evaluates indicators for assessing the development degree of gas channeling and establishes a fuzzy comprehensive evaluation method for evaluating gas channeling in the gas injection development of low-permeability reservoirs. Based on the evaluation values derived from the fuzzy comprehensive evaluation, it classifies the development levels of gas channeling. Application in oilfield cases shows that the evaluation results of this method are generally consistent with the dynamic response of production data, with high evaluation accuracy. This provides strong support for implementing gas channeling prevention and control measures on site and improving the effectiveness of gas injection development.

Suggested Citation

  • Yang Liu & Mingqiang Hao & Ran Bi & Chaoliang Bian & Xiaoqing Wang, 2024. "Research on Gas Channeling Identification Using the Fuzzy Comprehensive Evaluation Method," Energies, MDPI, vol. 17(16), pages 1-14, August.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:16:p:3908-:d:1452009
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    References listed on IDEAS

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    1. Ren, Bo & Ren, Shaoran & Zhang, Liang & Chen, Guoli & Zhang, Hua, 2016. "Monitoring on CO2 migration in a tight oil reservoir during CCS-EOR in Jilin Oilfield China," Energy, Elsevier, vol. 98(C), pages 108-121.
    2. Saaty, Thomas L., 1994. "Highlights and critical points in the theory and application of the Analytic Hierarchy Process," European Journal of Operational Research, Elsevier, vol. 74(3), pages 426-447, May.
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