IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v153y2020icp985-997.html
   My bibliography  Save this article

Evaluation of geothermal development considering proppant embedment in hydraulic fractures

Author

Listed:
  • Chen, Yun
  • Wang, Huidong
  • Li, Tuo
  • Wang, Yang
  • Ren, Feng
  • Ma, Guowei

Abstract

Conductivity in hydraulic fractures embedded with proppants has a great impact on the efficiency of geothermal development in an enhanced geothermal system. This study explores the effects of proppants and hydraulic fracture arrangement on the efficiency of geothermal development by developing a thermo-hydro-mechanical coupled model. The evolution of the fracture aperture is captured based on the Hertz contact theory and the Kozeny-Carman equation. The finite element method (FEM) is used to analyse the mechanical behaviour of the fractured system. The thermo-hydro circulated process is investigated using the unified pipe-network method (UPM). In the simulation of a doublet system embedded with propped hydraulic fractures, the increase of proppant distribution density enhances the net heat-extraction rate and reduces the thermal breakthrough time and accumulated thermal energy. The influence of reservoir properties on the heat production is further investigated. In the designing of the hydraulic stimulation, both the increase of the propped hydraulic fracture number (at least two hydraulic fractures) and the spacing promote the efficiency of geothermal development, however, the cost of the field design should be considered for optimization.

Suggested Citation

  • Chen, Yun & Wang, Huidong & Li, Tuo & Wang, Yang & Ren, Feng & Ma, Guowei, 2020. "Evaluation of geothermal development considering proppant embedment in hydraulic fractures," Renewable Energy, Elsevier, vol. 153(C), pages 985-997.
  • Handle: RePEc:eee:renene:v:153:y:2020:i:c:p:985-997
    DOI: 10.1016/j.renene.2020.02.063
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148120302500
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2020.02.063?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Shi, Yu & Song, Xianzhi & Shen, Zhonghou & Wang, Gaosheng & Li, Xiaojiang & Zheng, Rui & Geng, Lidong & Li, Jiacheng & Zhang, Shikun, 2018. "Numerical investigation on heat extraction performance of a CO2 enhanced geothermal system with multilateral wells," Energy, Elsevier, vol. 163(C), pages 38-51.
    2. Zhang, Liang & Ezekiel, Justin & Li, Dexiang & Pei, Jingjing & Ren, Shaoran, 2014. "Potential assessment of CO2 injection for heat mining and geological storage in geothermal reservoirs of China," Applied Energy, Elsevier, vol. 122(C), pages 237-246.
    3. Xia, Yidong & Plummer, Mitchell & Mattson, Earl & Podgorney, Robert & Ghassemi, Ahmad, 2017. "Design, modeling, and evaluation of a doublet heat extraction model in enhanced geothermal systems," Renewable Energy, Elsevier, vol. 105(C), pages 232-247.
    4. Xu, Chaoshui & Dowd, Peter Alan & Tian, Zhao Feng, 2015. "A simplified coupled hydro-thermal model for enhanced geothermal systems," Applied Energy, Elsevier, vol. 140(C), pages 135-145.
    5. Shi, Yu & Song, Xianzhi & Wang, Gaosheng & Li, Jiacheng & Geng, Lidong & Li, Xiaojiang, 2019. "Numerical study on heat extraction performance of a multilateral-well enhanced geothermal system considering complex hydraulic and natural fractures," Renewable Energy, Elsevier, vol. 141(C), pages 950-963.
    6. Wei, Xin & Feng, Zi-jun & Zhao, Yang-sheng, 2019. "Numerical simulation of thermo-hydro-mechanical coupling effect in mining fault-mode hot dry rock geothermal energy," Renewable Energy, Elsevier, vol. 139(C), pages 120-135.
    7. Sun, Zhi-xue & Zhang, Xu & Xu, Yi & Yao, Jun & Wang, Hao-xuan & Lv, Shuhuan & Sun, Zhi-lei & Huang, Yong & Cai, Ming-yu & Huang, Xiaoxue, 2017. "Numerical simulation of the heat extraction in EGS with thermal-hydraulic-mechanical coupling method based on discrete fractures model," Energy, Elsevier, vol. 120(C), pages 20-33.
    8. Song, Xianzhi & Shi, Yu & Li, Gensheng & Yang, Ruiyue & Wang, Gaosheng & Zheng, Rui & Li, Jiacheng & Lyu, Zehao, 2018. "Numerical simulation of heat extraction performance in enhanced geothermal system with multilateral wells," Applied Energy, Elsevier, vol. 218(C), pages 325-337.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Guo, Tiankui & Zhang, Yuelong & He, Jiayuan & Gong, Facheng & Chen, Ming & Liu, Xiaoqiang, 2021. "Research on geothermal development model of abandoned high temperature oil reservoir in North China oilfield," Renewable Energy, Elsevier, vol. 177(C), pages 1-12.
    2. Guo, Tiankui & Hao, Tong & Chen, Ming & Zhang, Yuelong & Qu, Zhanqing & Jia, Xuliang & Zhang, Wei & Yu, Haiyang, 2023. "Numerical simulation on Geothermal extraction by radial well assisted hydraulic fracturing," Renewable Energy, Elsevier, vol. 210(C), pages 440-450.
    3. Xuhua Gao & Junhong Yu & Xinchun Shang & Weiyao Zhu, 2023. "Investigation on Nonlinear Behaviors of Seepage in Deep Shale Gas Reservoir with Viscoelasticity," Energies, MDPI, vol. 16(17), pages 1-23, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ma, Yuanyuan & Li, Shibin & Zhang, Ligang & Liu, Songze & Liu, Zhaoyi & Li, Hao & Shi, Erxiu & Zhang, Haijun, 2020. "Numerical simulation study on the heat extraction performance of multi-well injection enhanced geothermal system," Renewable Energy, Elsevier, vol. 151(C), pages 782-795.
    2. Zhang, Jie & Xie, Jingxuan, 2020. "Effect of reservoir’s permeability and porosity on the performance of cellular development model for enhanced geothermal system," Renewable Energy, Elsevier, vol. 148(C), pages 824-838.
    3. Zhou, Luming & Zhu, Zhende & Xie, Xinghua & Hu, Yunjin, 2022. "Coupled thermal–hydraulic–mechanical model for an enhanced geothermal system and numerical analysis of its heat mining performance," Renewable Energy, Elsevier, vol. 181(C), pages 1440-1458.
    4. Zhao, Peng & Liu, Jun & Elsworth, Derek, 2023. "Numerical study on a multifracture enhanced geothermal system considering matrix permeability enhancement induced by thermal unloading," Renewable Energy, Elsevier, vol. 203(C), pages 33-44.
    5. Wang, Gaosheng & Song, Xianzhi & Yu, Chao & Shi, Yu & Song, Guofeng & Xu, Fuqiang & Ji, Jiayan & Song, Zihao, 2022. "Heat extraction study of a novel hydrothermal open-loop geothermal system in a multi-lateral horizontal well," Energy, Elsevier, vol. 242(C).
    6. 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.
    7. Li, Jiawei & Yuan, Wanju & Zhang, Yin & Cherubini, Claudia & Scheuermann, Alexander & Galindo Torres, Sergio Andres & Li, Ling, 2020. "Numerical investigations of CO2 and N2 miscible flow as the working fluid in enhanced geothermal systems," Energy, Elsevier, vol. 206(C).
    8. Shi, Yu & Song, Xianzhi & Wang, Gaosheng & McLennan, John & Forbes, Bryan & Li, Xiaojiang & Li, Jiacheng, 2019. "Study on wellbore fluid flow and heat transfer of a multilateral-well CO2 enhanced geothermal system," Applied Energy, Elsevier, vol. 249(C), pages 14-27.
    9. He, Renhui & Rong, Guan & Tan, Jie & Phoon, Kok-Kwang & Quan, Junsong, 2022. "Numerical evaluation of heat extraction performance in enhanced geothermal system considering rough-walled fractures," Renewable Energy, Elsevier, vol. 188(C), pages 524-544.
    10. Lin, David T.W. & Hsieh, Jui Ching & Shih, Bo Yen, 2019. "The optimization of geothermal extraction based on supercritical CO2 porous heat transfer model," Renewable Energy, Elsevier, vol. 143(C), pages 1162-1171.
    11. Chen, Yun & Ma, Guowei & Wang, Huidong & Li, Tuo & Wang, Yang & Sun, Zizheng, 2020. "Optimizing heat mining strategies in a fractured geothermal reservoir considering fracture deformation effects," Renewable Energy, Elsevier, vol. 148(C), pages 326-337.
    12. Ding, Junfeng & Wang, Shimin, 2018. "2D modeling of well array operating enhanced geothermal system," Energy, Elsevier, vol. 162(C), pages 918-932.
    13. Xie, Jingxuan & Wang, Jiansheng, 2022. "Compatibility investigation and techno-economic performance optimization of whole geothermal power generation system," Applied Energy, Elsevier, vol. 328(C).
    14. Zinsalo, Joël M. & Lamarche, Louis & Raymond, Jasmin, 2022. "Performance analysis and working fluid selection of an Organic Rankine Cycle Power Plant coupled to an Enhanced Geothermal System," Energy, Elsevier, vol. 245(C).
    15. Guo, Tiankui & Zhang, Yuelong & He, Jiayuan & Gong, Facheng & Chen, Ming & Liu, Xiaoqiang, 2021. "Research on geothermal development model of abandoned high temperature oil reservoir in North China oilfield," Renewable Energy, Elsevier, vol. 177(C), pages 1-12.
    16. Liming Zhang & Zekun Deng & Kai Zhang & Tao Long & Joshua Kwesi Desbordes & Hai Sun & Yongfei Yang, 2019. "Well-Placement Optimization in an Enhanced Geothermal System Based on the Fracture Continuum Method and 0-1 Programming," Energies, MDPI, vol. 12(4), pages 1-20, February.
    17. Wu, Xiaotian & Yu, Likui & Hassan, N.M.S. & Ma, Weiwu & Liu, Gang, 2021. "Evaluation and optimization of heat extraction in enhanced geothermal system via failure area percentage," Renewable Energy, Elsevier, vol. 169(C), pages 204-220.
    18. Song, Guofeng & Song, Xianzhi & Li, Gensheng & Shi, Yu & Wang, Gaosheng & Ji, Jiayan & Xu, Fuqiang & Song, Zihao, 2021. "An integrated multi-objective optimization method to improve the performance of multilateral-well geothermal system," Renewable Energy, Elsevier, vol. 172(C), pages 1233-1249.
    19. Shi, Yu & Cui, Qiliang & Song, Xianzhi & Xu, Fuqiang & Song, Guofeng, 2022. "Study on thermal performances of a horizontal ground heat exchanger geothermal system with different configurations and arrangements," Renewable Energy, Elsevier, vol. 193(C), pages 448-463.
    20. Zheng, Jun & Li, Peng & Dou, Bin & Fan, Tao & Tian, Hong & Lai, Xiaotian, 2022. "Impact research of well layout schemes and fracture parameters on heat production performance of enhanced geothermal system considering water cooling effect," Energy, Elsevier, vol. 255(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:153:y:2020:i:c:p:985-997. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.