| Citation: |
ZHANG Deqian, LEI Haiyan, DAI Chuanshan. Simulation achievement of lab-scale formations with high geotemperature gradient[J]. Hydrogeology & Engineering Geology, 2023, 50(1): 152-157. doi: 10.16030/j.cnki.issn.1000-3665.202201050
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Simulation achievement of lab-scale formations with high geotemperature gradient
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Abstract
The heat exchange between geothermal wells and surrounding formations is important to the heat production of geothermal wells. Due to the difficulty in arranging measurement points around geothermal wells in real engineering, it is hard to verify the results of geothermal reservoir modelling, thereby verify the modelling results. Therefore, geothermal wells are only considered as source/sink in most of the previous geothermal reservoir modeling, and the coupled flow and heat transfer between the geothermal fluid and the reservoir is not considered. In contrast, lab-scale experiments are convenient to arrange the measurement points, and the experimental results can verify the coupled geothermal reservoir-wellbore numerical model. However, how to achieve the lab-scale formations with geotemperature gradients is the key issue, and there are no similar studies yet. In this paper, based on the basic principles of heat transfer, a lab-scale simulated formation with high geotemperature gradient is quickly achieved. By determining the geometric size of the simulated geothermal reservoir and caprock, selecting the filled porous media and a simulated reservoir with constant temperature, a simulated formation with high geotemperature gradient is designed. Through the layered heating and boundary dynamic thermal supplementation method, the linear temperature distribution of the simulated formation at the reservoir temperature of 60 °C, 65 °C and 70 °C, respectively, are achieved. The relative error between the numerical simulation obtained by the finite volume method and the experimental results is within the range of ±2.5%, indicating that the simulated and experimental results are in good agreement, which can provide experimental conditions for the coupled reservoir - wellbore heat transfer experiment. The simulated formation system designed and established in this paper can provide experimental conditions for the reservoir-wellbore heat transfer experiment, and then verify the developing numerical software of coupling the reservoir-wellbore flow and heat transfer.
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References
[1] LI Gensheng, LI Jiayan, SONG Xianzhi, et al. Research advances in multi-field coupling model for geothermal reservoir heat extraction[J]. Energy Reviews, 2022, 1: 100009. [2] SEYEDRAHIMI-NIARAQA M,BINA S M,ITOI R. Numerical and thermodynamic modeling for estimating production capacity of NW Sabalan geothermal field,Iran[J]. Geothermics,2021,90:1 − 21. [3] FENG Guohong,WANG Yu,XU Tianfu,et al. Multiphase flow modeling and energy extraction performance for supercritical geothermal systems[J]. Renewable Energy,2021,173:442 − 454. doi: 10.1016/j.renene.2021.03.107 [4] 雷宏武. 增强型地热系统（EGS）中热能开发力学耦合水热过程分析[D]. 长春: 吉林大学, 2014 LEI Hongwu. Coupling mechanics with thermal-hydrodynamic processes for heat development in enhanced geothermal systems[D]. Changchun: Jilin University, 2014. （in Chinese with English abstract） [5] CHEN Yun,MA Guowei,WANG Huidong,et al. Evaluation of geothermal development in fractured hot dry rock based on three dimensional unified pipe-network method[J]. Applied Thermal Engineering,2018,136:219 − 228. doi: 10.1016/j.applthermaleng.2018.03.008 [6] 王晓星,吴能友,张可霓,等. 增强型地热系统开发过程中的多场耦合问题[J]. 水文地质工程地质,2012,39(2):126 − 130. [WANG Xiaoxing,WU Nengyou,ZHANG Keni,et al. Multi-field coupling for enhanced geothermal system development[J]. Hydrogeology & Engineering Geology,2012,39(2):126 − 130. (in Chinese with English abstract) [7] RAJABI M M,CHEN Mingjie,BOZORGPOUR A,et al. Stochastic techno-economic analysis of CO2-circulated geothermal energy production in a closed reservoir system[J]. Geothermics,2021,96:102202. doi: 10.1016/j.geothermics.2021.102202 [8] ALIYU M D, ARCHER R A. A thermo-hydro-mechanical model of a hot dry rock geothermal reservoir[J]. Renewable Energy, 2021, 176: 475-493 [9] GUDALA M, GOVINDARAJAN S K, YAN Bicheng, et al. Numerical investigations of the PUGA geothermal reservoir with multistage hydraulic fractures and well patterns using fully coupled thermo-hydro-geomechanical modeling[J]. Energy, 2022, 253: 124173. [10] BORGIA A,OLDENBURG C M,ZHANG Rui,et al. Simulations of CO2 injection into fractures and faults for improving their geophysical characterization at EGS sites[J]. Geothermics,2017,69:189 − 201. doi: 10.1016/j.geothermics.2017.05.002 [11] 张志雄,谢健,戚继红,等. 地质封存二氧化碳沿断层泄漏数值模拟研究[J]. 水文地质工程地质,2018,45(2):109 − 116. [ZHANG Zhixiong,XIE Jian,QI Jihong,et al. Numerical simulation of CO2 leakage along faults from geologic carbon dioxide sequestration[J]. Hydrogeology & Engineering Geology,2018,45(2):109 − 116. (in Chinese with English abstract) [12] MAHMOODPOUR S,SINGH M,BÄR K,et al. Thermo-hydro-mechanical modeling of an enhanced geothermal system in a fractured reservoir using carbon dioxide as heat transmission fluid-A sensitivity investigation[J]. Energy,2022,254:124266. [13] FINSTERLE S. ITOUGH2-EOS1NT: A nonisothermal two-phase flow simulator for water and multiple tracers user’s guide[R]. California: Finsterle GeoConsulting Kensington, 2021. [14] BJARKASON E K,O’SULLIVAN J P,YEH A,et al. Inverse modeling of the natural state of geothermal reservoirs using adjoint and direct methods[J]. Geothermics,2019,78:85 − 100. doi: 10.1016/j.geothermics.2018.10.001 [15] 王景瑞,胡立堂,尹文杰. iTOUGH2反演模型在地下水模拟中的应用[J]. 水文地质工程地质,2015,42(1):35 − 41. [WANG Jingrui,HU Litang,YIN Wenjie. Application of iTOUGH2 to groundwater modeling[J]. Hydrogeology & Engineering Geology,2015,42(1):35 − 41. (in Chinese with English abstract) [16] TESCIONE I,TODESCO M,GIORDANO G. Geothermal fluid circulation in a caldera setting:The torre alfina medium enthalpy system (Italy)[J]. Geothermics,2021,89:101947. doi: 10.1016/j.geothermics.2020.101947 [17] JALILINASRABADY S,TANAKA T,ITOI R,et al. Numerical simulation and production prediction assessment of Takigami geothermal reservoir[J]. Energy,2021,236:121503. doi: 10.1016/j.energy.2021.121503 [18] 王宽. 基于TOUGH2数值模拟软件的延津地区热储采灌研究[J]. 地下水,2019,41(1):14 − 16. [WANG Kuan. Research on thermal storage and irrigation in Yanjin area based on TOUGH2 numerical simulation software[J]. Ground Water,2019,41(1):14 − 16. (in Chinese with English abstract) doi: 10.3969/j.issn.1004-1184.2019.01.005 [19] 姜英博. 五龙口地热区地热资源评价及开发利用研究[D]. 郑州: 华北水利水电大学, 2022 [JIANG Yingbo. Research on the evaluation and utilization of geothermal resources in Wulongkou geothermal area[D]. Zhengzhou: North China University of Water Resources and Electric Power, 2022. （in Chinese with English abstract） [20] 刘东林,闫佳贤,田光辉,等. 基于TOUGH2.0东丽湖地区雾迷山组热储资源潜力评价[J]. 工程勘察,2015,43(8):52 − 57. [LIU Donglin,YAN Jiaxian,TIAN Guanghui,et al. Assessment on geothermal potential in the Wumishan Formation of Dongli Lake area based on TOUGH2.0 program[J]. Geotechnical Investigation & Surveying,2015,43(8):52 − 57. (in Chinese with English abstract) [21] VINCENT K K. Geothermal reservoir modeling and in field rejection design, constrained by tracer test data: Case study for geothermal field in KENYA. Undefined Faculty of Industrial Engineering[D]. Iceland: University of Iceland, 2014. -
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ZHANG Deqian, LEI Haiyan, DAI Chuanshan. Simulation achievement of lab-scale formations with high geotemperature gradient[J]. Hydrogeology & Engineering Geology, 2023, 50(1): 152-157. doi: 10.16030/j.cnki.issn.1000-3665.202201050
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Figure 1.
Schematic diagram showing the experimental system
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Figure 2.
Simulated geothermal reservoir
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Figure 3.
Layout of stainless coil
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Figure 4.
Temperature measurement points at the inlet/outlet of coil
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Figure 5.
Layout of radial temperature measurement point
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Figure 6.
Change in temperature of reservoir caprock with time
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Figure 7.
Change in temperature of the caprock with height (Tr=65 °C)
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Figure 8.
Temperature profile of reservoir caprock under different geotemperature gradients (r=0.07 m)
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Figure 9.
Comparison of numerical and experiment results of caprock temperature at different radial distance
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Figure 10.
Change in relative error of the reservoir caprock temperature with time