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Exploration of the induced fluid-disturbance effect in CBM co-production in a superimposed pressure system

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  • Li, Qixian
  • Xu, Jiang
  • Shu, Longyong
  • Yan, Fazhi
  • Pang, Bo
  • Peng, Shoujian

Abstract

Fluid disturbance in coalbed methane co-production in a superimposed pressure system is universal. Two sets of tests were conducted with different constant outlet pressure values and reservoir pressure gradients to explore the fluid-disturbance characteristics. First, in the constant outlet pressure mode, reservoirs with large differences in the initial fluid energy are prone to fluid disturbance in the early stage of co-production, and the dynamic pressure balance drives part of the fluid from reservoirs with a high initial fluid energy to flow to reservoirs with a low initial fluid energy. Second, an increase in the constant outlet pressure value reduces the intensity of the fluid disturbance, and the reservoir pressure gradient has a positive effect on the fluid-disturbance effect. The design of a constant-pressure co-production must incorporate disturbance-reduction measures and appropriately increase the constant outlet pressure at the wellbore outlet. Alternatively, reservoirs with smaller reservoir pressures should be selected for co-production. Third, the gas-production mode of a single reservoir under the constant-pressure co-production can be separated into three major categories and seven subcategories: the conventional mode is applicable to reservoirs with a high initial fluid energy, the inhibition mode is primarily for reservoirs with a medium-low initial fluid energy, and the backflow mode is primarily for reservoirs with a low initial fluid energy.

Suggested Citation

  • Li, Qixian & Xu, Jiang & Shu, Longyong & Yan, Fazhi & Pang, Bo & Peng, Shoujian, 2023. "Exploration of the induced fluid-disturbance effect in CBM co-production in a superimposed pressure system," Energy, Elsevier, vol. 265(C).
    • Handle: RePEc:eee:energy:v:265:y:2023:i:c:s0360544222032339
    DOI: 10.1016/j.energy.2022.126347
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    References listed on IDEAS

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    1. Guo, Zixi & Zhao, Jinzhou & You, Zhenjiang & Li, Yongming & Zhang, Shu & Chen, Yiyu, 2021. "Prediction of coalbed methane production based on deep learning," Energy, Elsevier, vol. 230(C).
    2. Liu, Hao & Su, Guandong & Okere, Chinedu J. & Li, Guozhang & Wang, Xiangchun & Cai, Yuzhe & Wu, Tong & Zheng, Lihui, 2022. "Working fluid-induced formation damage evaluation for commingled production of multi-layer natural gas reservoirs with flow rate method," Energy, Elsevier, vol. 239(PB).
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