Numerical simulation of geothermal energy production from hot dry rocks under the interplay between the heterogeneous fracture and stimulated reservoir volume

被引:17
|
作者
Zhang, Chao [1 ,2 ]
Wang, Xiaoguang [1 ,2 ,3 ,5 ]
Jiang, Chuanyin [4 ]
Zhang, Haozhu [1 ,2 ]
机构
[1] Chengdu Univ Technol, State Key Lab Oil & Gas Reservoir Geol & Exploitat, Chengdu 610059, Sichuan, Peoples R China
[2] Chengdu Univ Technol, Coll Energy, Chengdu 610059, Sichuan, Peoples R China
[3] Tianfu Yongxing Lab, Chengdu 610213, Sichuan, Peoples R China
[4] Univ Montpellier, HSM, CNRS, IRD, Montpellier, France
[5] 1,East 3rd Rd,Erxianqiao, Chengdu, Sichuan, Peoples R China
基金
中国国家自然科学基金;
关键词
Hot dry rock; Thermal -hydraulic -mechanical coupling; Stimulated reservoir volume; Permeability; Heterogeneity; HEAT EXTRACTION PERFORMANCE; GONGHE BASIN; SYSTEM; EGS; PROJECT; MODEL; AREA;
D O I
10.1016/j.jclepro.2023.137724
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Efficient development of hot dry rock (HDR) relies on a thorough assessment of the extraction potential. Stim-ulated reservoir volumes (SRV) and hydraulic fractures are the primary sites for water circulation and heat exchange in the heat mining process, and thus are crucial to HDR development. The objective of this study is to investigate the heat extraction performance of HDR reservoir under the interplay between the heterogeneous fracture and SRV, which can enhance the thorough understanding of the heat extraction process of stochastic HDR reservoirs and contribute to optimizing the design of the HDR development. A series of 3D thermal -hydraulic-mechanical coupling models with different permeability distributions were established innovatively. Results indicated that the homogeneous reservoir with a 35-year operation time yields an outlet temperature ranging from 161 to 131.8 degrees C, a thermal breakthrough time of 18 years, a production thermal power between 14.5 and 10.5 MW, and a maximum heat extraction ratio of 32%. Spatial heterogeneity in the fracture perme-ability significantly impacted the reservoir productivity by creating preferential flow channels. Introducing heterogeneity with a variance of 1 and correlation length of 60 m resulted in a reduction of 4.4 degrees C in the outlet temperature, 1 year in thermal breakthrough time, 0.6 MW in production thermal power, and 1% in heat extraction ratio compared to homogeneous reservoirs. Moreover, the heterogeneous permeability in SRV further decreased heat mining capability, with a reduction of approximately 14.8 degrees C, 10 years, 1.9 MW, and 5.17% observed when incorporating SRV heterogeneity (variance of 2 and correlation length of 120 m) into the reservoir already subjected to heterogeneous fracture. This study also provided valuable insights into how stress conditions affect the performance of a reservoir with the heterogeneous fracture and SRV. The results pointed out that applying in situ stress lowered reservoir attenuation rate and allowed for greater heat extraction compared to the reservoir without in situ stress. This can be attributed to the less dispersed fracture permeability occurring under in-situ stress, which caused by the reduced sensitivity of permeability to stress under high-stress condi-tions. Results also demonstrated that the thermal breakthrough time is the most sensitive performance metric to the variations of the fracture and SRV permeability, followed by the output thermal power, heat extraction ratio, and finally the produced temperature.
引用
收藏
页数:21
相关论文
共 30 条
  • [1] Numerical simulation of geothermal energy from dry hot rocks with gravity heat pipe
    Zhang, Yapin
    He, Zhiyin
    Qu, Fangfang
    He, Dejia
    Hao, Haohao
    Jiang, Haochen
    6TH INTERNATIONAL CONFERENCE ON ADVANCES IN ENERGY RESOURCES AND ENVIRONMENT ENGINEERING, 2021, 647
  • [2] Fractal concept in numerical simulation of hydraulic fracturing of the hot dry rock geothermal reservoir
    Fomin, S
    Hashida, T
    Shimizu, A
    Matsuki, K
    Sakaguchi, K
    HYDROLOGICAL PROCESSES, 2003, 17 (14) : 2975 - 2989
  • [3] Modelling a Novel Scheme of Mining Geothermal Energy from Hot Dry Rocks
    Li, Hong
    Ji, Kun
    Tao, Ye
    Tang, Chun'an
    APPLIED SCIENCES-BASEL, 2022, 12 (21):
  • [4] Estimation of Fracture Energy from Hydraulic Fracture Tests on Mortar and Rocks at Geothermal Reservoir Temperatures
    Rodriguez Villarreal, Omar
    Varela Valdez, Alberto
    La Borderie, Christian
    Pijaudier-Cabot, Gilles
    Hinojosa Rivera, Moises
    ROCK MECHANICS AND ROCK ENGINEERING, 2021, 54 (08) : 4111 - 4119
  • [5] Estimation of Fracture Energy from Hydraulic Fracture Tests on Mortar and Rocks at Geothermal Reservoir Temperatures
    Omar Rodríguez Villarreal
    Alberto Varela Valdez
    Christian La Borderie
    Gilles Pijaudier-Cabot
    Moisés Hinojosa Rivera
    Rock Mechanics and Rock Engineering, 2021, 54 : 4111 - 4119
  • [6] Numerical simulation of hydraulic fracturing in hot dry rocks under the influence of thermal stress
    Zhang Wei
    Qu Zhan-qing
    Guo Tian-kui
    Sun Jiang
    ROCK AND SOIL MECHANICS, 2019, 40 (05) : 2001 - 2008
  • [7] Numerical simulation of geothermal reservoir thermal recovery of heterogeneous discrete fracture network-rock matrix system
    Han, Bowen
    Wang, Shuhong
    Zhang, Ze
    Wang, Ye
    ENERGY, 2024, 305
  • [8] Numerical simulation of heat production potential from hot dry rock by water circulating through a novel single vertical fracture at Desert Peak geothermal field
    Zeng, Yu-Chao
    Wu, Neng-You
    Su, Zheng
    Wang, Xiao-Xing
    Hu, Jian
    ENERGY, 2013, 63 : 268 - 282
  • [9] Hydraulic fracturing under high temperature and pressure conditions with micro CT applications: Geothermal energy from hot dry rocks
    Kumari, W. G. P.
    Ranjith, P. G.
    Perera, M. S. A.
    Li, X.
    Li, L. H.
    Chen, B. K.
    Isaka, B. L. Avanthi
    De Silva, V. R. S.
    FUEL, 2018, 230 : 138 - 154
  • [10] Modeling, simulation, and optimization of geothermal energy production from hot sedimentary aquifers
    Laura Blank
    Ernesto Meneses Rioseco
    Alfonso Caiazzo
    Ulrich Wilbrandt
    Computational Geosciences, 2021, 25 : 67 - 104