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Coupled thermo-hydro-mechanical modeling on well pairs in heterogeneous porous geothermal reservoirs

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  • Liu, Guihong
  • Pu, Hai
  • Zhao, Zhihong
  • Liu, Yanguang

Abstract

Production water reinjection plays an important role in geothermal reservoir management. Heterogeneous porous geothermal reservoir models considering the spatial distributions of permeability and rock heat capacity are generated. In total, 200 realizations with different permeability fields were considered. A fully coupled modeling of reservoir deformation, fluid flow, and heat transport was performed on each realization using the finite element method. The results showed that heterogeneity induced channeling appears in the geothermal reservoirs with increasing heterogeneity of permeability, through which the injected production can quickly reach the production well. This causes the shorter thermal breakthrough time at production wells, and the lower reservoir surface settlement. In geothermal reservoir models considering the correlation between heat capacity and permeability, the thermal breakthrough curves and the reservoir surface settlement were the same as the reservoir models of the constant heat capacity. With increasing correlation length, the possibility of flow channels appearing in well pair system increases, causing a short average thermal breakthrough time and a lower surface settlement around the injection well. The existence of preferential flow channels between injection and production wells indicates that an equivalent flow channel model can be approximately simulate geothermal doublets in heterogeneous reservoirs.

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  • Liu, Guihong & Pu, Hai & Zhao, Zhihong & Liu, Yanguang, 2019. "Coupled thermo-hydro-mechanical modeling on well pairs in heterogeneous porous geothermal reservoirs," Energy, Elsevier, vol. 171(C), pages 631-653.
    • Handle: RePEc:eee:energy:v:171:y:2019:i:c:p:631-653
    DOI: 10.1016/j.energy.2019.01.022
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    References listed on IDEAS

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    Cited by:

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    2. Zhao, Zhihong & Dou, Zihao & Liu, Guihong & Chen, Sicong & Tan, Xianfeng, 2021. "Equivalent flow channel model for doublets in heterogeneous porous geothermal reservoirs," Renewable Energy, Elsevier, vol. 172(C), pages 100-111.
    3. Yu, Likui & Wu, Xiaotian & Hassan, N.M.S. & Wang, Yadan & Ma, Weiwu & Liu, Gang, 2020. "Modified zipper fracturing in enhanced geothermal system reservoir and heat extraction optimization via orthogonal design," Renewable Energy, Elsevier, vol. 161(C), pages 373-385.
    4. Babaei, Masoud & Nick, Hamidreza M., 2019. "Performance of low-enthalpy geothermal systems: Interplay of spatially correlated heterogeneity and well-doublet spacings," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    5. Gudala, Manojkumar & Govindarajan, Suresh Kumar & Yan, Bicheng & Sun, Shuyu, 2022. "Numerical investigations of the PUGA geothermal reservoir with multistage hydraulic fractures and well patterns using fully coupled thermo-hydro-geomechanical modeling," Energy, Elsevier, vol. 253(C).
    6. Yu, Likui & Wu, Xiaotian & Wang, Yadan & Ma, Weiwu & Liu, Gang, 2020. "Stratified rock hydraulic fracturing for enhanced geothermal system and fracture geometry evaluation via effective length," Renewable Energy, Elsevier, vol. 152(C), pages 713-723.
    7. Xu, Haoran & Cheng, Jingru & Zhao, Zhihong & Lin, Tianyi & Liu, Guihong & Chen, Sicong, 2021. "Coupled thermo-hydro-mechanical-chemical modeling on acid fracturing in carbonatite geothermal reservoirs containing a heterogeneous fracture," Renewable Energy, Elsevier, vol. 172(C), pages 145-157.
    8. Liu, Guihong & Wang, Guiling & Zhao, Zhihong & Ma, Feng, 2020. "A new well pattern of cluster-layout for deep geothermal reservoirs: Case study from the Dezhou geothermal field, China," Renewable Energy, Elsevier, vol. 155(C), pages 484-499.
    9. Jalilinasrabady, Saeid & Tanaka, Toshiaki & Itoi, Ryuichi & Goto, Hiroki, 2021. "Numerical simulation and production prediction assessment of Takigami geothermal reservoir," Energy, Elsevier, vol. 236(C).
    10. Wang, Jiacheng & Zhao, Zhihong & Liu, Guihong & Xu, Haoran, 2022. "A robust optimization approach of well placement for doublet in heterogeneous geothermal reservoirs using random forest technique and genetic algorithm," Energy, Elsevier, vol. 254(PC).
    11. Li, Shengtao & Wen, Dongguang & Feng, Bo & Li, Fengyu & Yue, Dongdong & Zhang, Qiuxia & Wang, Junzhao & Feng, Zhaolong, 2023. "Numerical optimization of geothermal energy extraction from deep karst reservoir in North China," Renewable Energy, Elsevier, vol. 202(C), pages 1071-1085.

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