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Coupled thermo-hydro-mechanical-chemical modeling on acid fracturing in carbonatite geothermal reservoirs containing a heterogeneous fracture

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  • Xu, Haoran
  • Cheng, Jingru
  • Zhao, Zhihong
  • Lin, Tianyi
  • Liu, Guihong
  • Chen, Sicong

Abstract

Acid fracturing and hydraulic fracturing are two useful methods to improve productivity of geothermal wells. Compared with hydraulic fracturing, it remains challenging to select and design an optimal scheme of acid fracturing in geotherm reservoirs due to the complex chemical reactions between acidizing fluids and reservoir rocks. A modeling framework for the coupled thermal-hydro-mechanical-chemical processes during acid fracturing in carbonatite geothermal reservoirs is developed, which is verified using the published experimental results. Effects of natural and human-controlled factors on efficiency of acid fracturing are investigated through parameter sensitivity analysis. The results show that the two human-controlled parameters including acid concentration and injection rate play an important role in determining propagation area, whereas the acid etching pattern is mainly dependent on natural reservoir parameters including aperture field, reservoir temperature and in-situ stress. The developed modeling framework is successfully applied to simulate a field test of acid fracturing in a geothermal well, Beijing, China. The further follow-up research and limitations of the present study are also addressed.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:172:y:2021:i:c:p:145-157
    DOI: 10.1016/j.renene.2021.03.023
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    References listed on IDEAS

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    1. Xie, Linmao & Min, Ki-Bok & Song, Yoonho, 2015. "Observations of hydraulic stimulations in seven enhanced geothermal system projects," Renewable Energy, Elsevier, vol. 79(C), pages 56-65.
    2. 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.
    3. Park, Sehyeok & Kim, Kwang-Il & Kwon, Saeha & Yoo, Hwajung & Xie, Linmao & Min, Ki-Bok & Kim, Kwang Yeom, 2018. "Development of a hydraulic stimulation simulator toolbox for enhanced geothermal system design," Renewable Energy, Elsevier, vol. 118(C), pages 879-895.
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    Cited by:

    1. Thomas Heinze & Nicola Pastore, 2023. "Velocity-dependent heat transfer controls temperature in fracture networks," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    2. Aliyu, Musa D. & Archer, Rosalind A., 2021. "A thermo-hydro-mechanical model of a hot dry rock geothermal reservoir," Renewable Energy, Elsevier, vol. 176(C), pages 475-493.
    3. Li, Shijie & Liu, Jie & Huang, Wanying & Zhang, Chenghang, 2024. "Numerical simulation of the thermo-hydro-chemical coupling in enhanced geothermal systems: Impact of SiO2 dissolution/precipitation in matrix and fractures," Energy, Elsevier, vol. 290(C).
    4. Yu, Ruyang & Zhang, Kai & Ramasubramanian, Brindha & Jiang, Shu & Ramakrishna, Seeram & Tang, Yuhang, 2024. "Ensemble learning for predicting average thermal extraction load of a hydrothermal geothermal field: A case study in Guanzhong Basin, China," Energy, Elsevier, vol. 296(C).

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