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Numerical simulation of gas recovery from natural gas hydrate using multi-branch wells: A three-dimensional model

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  • Zhang, Panpan
  • Tian, Shouceng
  • Zhang, Yiqun
  • Li, Gensheng
  • Zhang, Wenhong
  • Khan, Waleed Ali
  • Ma, Luyao

Abstract

Natural gas hydrate, a potential energy source, is clean and occurs abundantly in nature. Enhancing the gas production efficiency from gas hydrate-bearing sediments (GHBS) is of great significance to promote its industrial development. In this study, the radial jet drilling (RJD) technology is innovatively proposed to stimulate oceanic hydrate reservoirs. With an open-source simulator HydrateResSim, a 3D model is constructed based on the geological data from the SH7 site in the South China Sea. The hydrates exploitation performance using the combination of radial wells and depressurization is studied for the first time. Results indicate that radial wells can significantly enhance the gas production rate in the early stages of production. The hydrate recovery factor and the radial branch length are linearly related. However, the application of radial wells seems incapable of prolonging the gas production life cycle. By analyzing the multi-physical response of GHBS induced by depressurization, the stimulation mechanisms of radial wells are characterized as enlarged drainage area, enhanced pressure drop propagation, and increased geothermal heat flow. This work verified the capability of RJD in promoting hydrate extraction. Also, it provides insights into the potential applications of multi-branch wells in field trials of hydrate production.

Suggested Citation

  • Zhang, Panpan & Tian, Shouceng & Zhang, Yiqun & Li, Gensheng & Zhang, Wenhong & Khan, Waleed Ali & Ma, Luyao, 2021. "Numerical simulation of gas recovery from natural gas hydrate using multi-branch wells: A three-dimensional model," Energy, Elsevier, vol. 220(C).
  • Handle: RePEc:eee:energy:v:220:y:2021:i:c:s0360544220326566
    DOI: 10.1016/j.energy.2020.119549
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    6. Dong, Lin & Li, Yanlong & Wu, Nengyou & Wan, Yizhao & Liao, Hualin & Wang, Huajian & Zhang, Yajuan & Ji, Yunkai & Hu, Gaowei & Leonenko, Yuri, 2023. "Numerical simulation of gas extraction performance from hydrate reservoirs using double-well systems," Energy, Elsevier, vol. 265(C).
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    8. Tan, Lin & Liu, Fang & Dai, Sheng & Yao, Junlan, 2024. "A bibliometric analysis of two-decade research efforts in turning natural gas hydrates into energy," Energy, Elsevier, vol. 299(C).
    9. Hui, Chengyu & Zhang, Yiqun & Wu, Xiaoya & Zhang, Panpan & Li, Gensheng & Lu, Jingsheng & Zhang, Bo, 2024. "Numerical analysis of the production behaviors and geomechanical responses during natural gas hydrate production by vertical wells fracturing," Energy, Elsevier, vol. 292(C).
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    11. Dong, Lin & Wu, Nengyou & Leonenko, Yuri & Wan, Yizhao & Zhang, Yajuan & Li, Yanlong, 2024. "Numerical analysis on hydrate production performance with multi-well systems: Synergistic effect of adjacent wells and implications on field exploitation," Energy, Elsevier, vol. 290(C).
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    16. Guo, Yang & Li, Shuxia & Qin, Xuwen & Lu, Cheng & Wu, Didi & Liu, Lu & Zhang, Ningtao, 2023. "Enhanced gas production from low-permeability hydrate reservoirs based on embedded discrete fracture models: Influence of branch parameters," Energy, Elsevier, vol. 282(C).

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