IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v216y2023ics0960148123009722.html

LN cooling on mechanical properties and fracture characteristics of hot dry granites involving ANN prediction

Author

Listed:
  • Qu, Hai
  • Li, Chengying
  • Chen, Xiangjun
  • Liu, Xu
  • Guo, Ruichang
  • Liu, Ying

Abstract

Hot dry rock (HDR) development is essential to reduce carbon emission and achieve renewable energy applications. Liquid nitrogen (LN) fracturing can significantly create complex fractures in HDR. Understanding the damage characteristics of heated granites after LN cooling is essential. This study systematically investigates the mechanical properties of heated granites subjected to LN cooling, followed by a two-scale analysis for fracture morphology variation. Increasing rock temperature and cooling cycle cause more complex microcracks and macro fracture networks, leading to higher fragmentation degrees. The degradation of mechanical properties mainly occurs within the first 10 min and sixth cycles. After the six cycles, the failure model transforms from shear failure to a complex composite failure. The feldspar-to-quartz ratio was first proposed to quantitatively describe the relationship between the mechanical strength and granite types. The linear regression method developed two accurate models with four factors to predict the uniaxial compressive strength (UCS) and tensile strength (UTS). Artificial neural network models can precisely predict the UCS and UTS of various granites under different LN cooling parameters based on a comprehensive data set. It provides a novel method to optimize HDR stimulation based on artificial intelligence.

Suggested Citation

  • Qu, Hai & Li, Chengying & Chen, Xiangjun & Liu, Xu & Guo, Ruichang & Liu, Ying, 2023. "LN cooling on mechanical properties and fracture characteristics of hot dry granites involving ANN prediction," Renewable Energy, Elsevier, vol. 216(C).
    • Handle: RePEc:eee:renene:v:216:y:2023:i:c:s0960148123009722
    DOI: 10.1016/j.renene.2023.119058
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148123009722
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2023.119058?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Song, Guofeng & Song, Xianzhi & Ji, Jiayan & Wu, Xiaoguang & Li, Gensheng & Xu, Fuqiang & Shi, Yu & Wang, Gaosheng, 2022. "Evolution of fracture aperture and thermal productivity influenced by chemical reaction in enhanced geothermal system," Renewable Energy, Elsevier, vol. 186(C), pages 126-142.
    2. Diaz, Melvin B. & Kim, Kwang Yeom, 2020. "Improving rate of penetration prediction by combining data from an adjacent well in a geothermal project," Renewable Energy, Elsevier, vol. 155(C), pages 1394-1400.
    3. Zhang, Wei & Wang, Chunguang & Guo, Tiankui & He, Jiayuan & Zhang, Le & Chen, Shaojie & Qu, Zhanqing, 2021. "Study on the cracking mechanism of hydraulic and supercritical CO2 fracturing in hot dry rock under thermal stress," Energy, Elsevier, vol. 221(C).
    4. Zhu, Zhennan & Kempka, Thomas & Ranjith, Pathegama Gamage & Tian, Hong & Jiang, Guosheng & Dou, Bin & Mei, Gang, 2021. "Changes in thermomechanical properties due to air and water cooling of hot dry granite rocks under unconfined compression," Renewable Energy, Elsevier, vol. 170(C), pages 562-573.
    5. Kang, Fangchao & Jia, Tianrang & Li, Yingchun & Deng, Jianhui & Tang, Chun'an & Huang, Xin, 2021. "Experimental study on the physical and mechanical variations of hot granite under different cooling treatments," Renewable Energy, Elsevier, vol. 179(C), pages 1316-1328.
    6. Ogliari, Emanuele & Guilizzoni, Manfredo & Giglio, Alessandro & Pretto, Silvia, 2021. "Wind power 24-h ahead forecast by an artificial neural network and an hybrid model: Comparison of the predictive performance," Renewable Energy, Elsevier, vol. 178(C), pages 1466-1474.
    7. 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.
    8. Asai, Pranay & Podgorney, Robert & McLennan, John & Deo, Milind & Moore, Joseph, 2022. "Analytical model for fluid flow distribution in an Enhanced Geothermal Systems (EGS)," Renewable Energy, Elsevier, vol. 193(C), pages 821-831.
    9. Yang, Ruiyue & Hong, Chunyang & Liu, Wei & Wu, Xiaoguang & Wang, Tianyu & Huang, Zhongwei, 2021. "Non-contaminating cryogenic fluid access to high-temperature resources: Liquid nitrogen fracturing in a lab-scale Enhanced Geothermal System," Renewable Energy, Elsevier, vol. 165(P1), pages 125-138.
    10. Kartal, Furkan & Özveren, Uğur, 2022. "Prediction of torrefied biomass properties from raw biomass," Renewable Energy, Elsevier, vol. 182(C), pages 578-591.
    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. Li, Mingyao & Sun, Hefeng & Peng, Lei & Zuo, Jianping & Wang, Zhenbo, 2024. "Laboratory investigation on physical and mechanical behaviors of granite after heating and different cooling rates," Energy, Elsevier, vol. 302(C).

    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. Xue, Yi & Liu, Shuai & Chai, Junrui & Liu, Jia & Ranjith, P.G. & Cai, Chengzheng & Gao, Feng & Bai, Xue, 2023. "Effect of water-cooling shock on fracture initiation and morphology of high-temperature granite: Application of hydraulic fracturing to enhanced geothermal systems," Applied Energy, Elsevier, vol. 337(C).
    2. Shi, Yu & Xu, Fuqiang & Song, Xianzhi & Wang, Gaosheng & Zuo, Yinhui & Li, Xiaojiang & Ji, Jiayan, 2023. "Rock damage evolution in the production process of the enhanced geothermal systems considering thermal-hydrological-mechanical and damage (THM-D)," Energy, Elsevier, vol. 285(C).
    3. 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.
    4. Xiangcheng Que & Shu Zhu & Bei Han, 2025. "Data-Driven Visualization of the Dynamics of Geothermal Energy and Hot Dry Rock Research," Energies, MDPI, vol. 18(9), pages 1-24, May.
    5. Xu, Fuqiang & Shi, Yu & Song, Xianzhi & Wu, Wei & Song, Guofeng & Li, Shuang, 2024. "Experimental characterization of damage during geothermal production of hot dry rocks: Comprehensive effects of the damage-elastic deformation on conductivity evolution," Energy, Elsevier, vol. 294(C).
    6. Qiao, Mingzheng & Jing, Zefeng & Feng, Chenchen & Li, Minghui & Chen, Cheng & Zou, Xupeng & Zhou, Yujuan, 2024. "Review on heat extraction systems of hot dry rock: Classifications, benefits, limitations, research status and future prospects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 196(C).
    7. Aliyu, Musa D. & Finkbeiner, Thomas & Chen, Hua-Peng & Archer, Rosalind A., 2023. "A three-dimensional investigation of the thermoelastic effect in an enhanced geothermal system reservoir," Energy, Elsevier, vol. 262(PA).
    8. Heinze, Thomas & Gunatilake, Thanushika, 2025. "Estimating the heat transfer in fractured geothermal reservoirs," Energy, Elsevier, vol. 321(C).
    9. Zheng, Mingming & Li, Wensheng & Liu, Richeng & Wang, Yingchao & Zhu, Zhennan & Xie, Jingyu & Bao, Ting, 2025. "Numerical insights into impact of rock matrix and fracture characteristics on sCO2-enhanced geothermal heat extraction," Energy, Elsevier, vol. 335(C).
    10. Sui, Haiqing & Chen, Jianfeng & Cheng, Wei & Zhu, Youjian & Zhang, Wennan & Hu, Junhao & Jiang, Hao & Shao, Jing'ai & Chen, Hanping, 2024. "Effect of oxidative torrefaction on fuel and pelletizing properties of agricultural biomass in comparison with non-oxidative torrefaction," Renewable Energy, Elsevier, vol. 226(C).
    11. Chen, Cihai & Deng, Yaping & Ma, Haichun & Kang, Xueyuan & Ma, Lei & Qian, Jiazhong, 2024. "Deep learning-based inversion framework by assimilating hydrogeological and geophysical data for an enhanced geothermal system characterization and thermal performance prediction," Energy, Elsevier, vol. 302(C).
    12. Wang, Song & Zhou, Jian & Zhang, Luqing & Han, Zhenhua & Kong, Yanlong, 2024. "Numerical insight into hydraulic fracture propagation in hot dry rock with complex natural fracture networks via fluid-solid coupling grain-based modeling," Energy, Elsevier, vol. 295(C).
    13. Zhang, Jiansong & Liu, Yongsheng & Lv, Jianguo & Yang, Gansheng & Xia, Jianxin, 2024. "Comparative investigation of heat extraction performance in 3D self-affine rough single fractures using CO2,N2O and H2O as heat transfer fluid," Renewable Energy, Elsevier, vol. 235(C).
    14. Xu, Maoyan & Yang, Xianyu & Dai, Zhaokai & Wang, Ren & Wang, Jianlong & Xie, Jingyu & Liu, Mengjuan & Shi, Yanping & Chen, Shuya & Xue, Man & Cai, Jihua & Jiang, Guosheng, 2024. "Experimental research of convective heat transfer between nanofluids and high-temperature dense granite in deep geothermal reservoirs," Renewable Energy, Elsevier, vol. 235(C).
    15. Zhao, Jiale & Li, Zijun & Xu, Yu & Chen, Yin, 2025. "An integrated mine geothermal extraction and cooling system based on the holistic space utilization concept of mine," Energy, Elsevier, vol. 335(C).
    16. Qin, Lei & Lin, Siheng & Lin, Haifei & Xue, Zitong & Wang, Weikai & Zhang, Xian & Li, Shugang, 2023. "Distribution of unfrozen water and heat transfer mechanism during thawing of liquid nitrogen immersed coal," Energy, Elsevier, vol. 263(PC).
    17. Liu, Jun & Zhao, Peng & Peng, Jiao & Xian, Hongyu, 2024. "Insight into the investigation of heat extraction performance affected by natural fractures in enhanced geothermal system (EGS) with THM multiphysical field model," Renewable Energy, Elsevier, vol. 231(C).
    18. Boris Evstatiev & Nikolay Valov & Katerina Gabrovska-Evstatieva & Irena Valova & Tsvetelina Kaneva & Nicolay Mihailov, 2025. "24 Hours Ahead Forecasting of the Power Consumption in an Industrial Pig Farm Using Deep Learning," Energies, MDPI, vol. 18(15), pages 1-20, July.
    19. Yin, Weitao & Feng, Zijun & Zhao, Yangsheng, 2025. "Effect of fracture backfill on the hydraulic fracturing behaviour of deep granite under high-temperature and high-pressure conditions: Implications for hot dry rock geothermal mining," Renewable Energy, Elsevier, vol. 243(C).
    20. Qu, Zhijian & Hou, Xinxing & Li, Jian & Hu, Wenbo, 2024. "Short-term wind farm cluster power prediction based on dual feature extraction and quadratic decomposition aggregation," Energy, Elsevier, vol. 290(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:216:y:2023:i:c:s0960148123009722. 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.