化工学报 ›› 2023, Vol. 74 ›› Issue (S1): 223-234.DOI: 10.11949/0438-1157.20221552
王志国(), 薛孟(), 董芋双, 张田震, 秦晓凯, 韩强
收稿日期:
2022-11-03
修回日期:
2022-12-05
出版日期:
2023-06-05
发布日期:
2023-09-27
通讯作者:
薛孟
作者简介:
王志国(1966—),男,博士,教授,dqwangzhiguo@126.com
基金资助:
Zhiguo WANG(), Meng XUE(), Yushuang DONG, Tianzhen ZHANG, Xiaokai QIN, Qiang HAN
Received:
2022-11-03
Revised:
2022-12-05
Online:
2023-06-05
Published:
2023-09-27
Contact:
Meng XUE
摘要:
随着能源结构转型,干热岩等地热岩体得到了快速发展。地热岩体内部结构组成复杂,渗流与传热过程多变,如何针对岩体裂隙分布特征,建立更加精准的描述表征模型并进行多物理场耦合分析,有待深入探讨。基于裂隙粗糙性表征(joint roughness coefficient,JRC)描述方法,将表征单元体(representative elementary volume,REV)引入到JRC尺寸选取中,并将其应用于地热岩体物理模型中,采用数值模拟方法,对地热岩体温度场与渗流场进行了耦合分析。研究发现,裂隙附近温度场分布与裂隙的形态基本一致,表现出一种基岩温度场随着裂隙形态变化的波动性规律;流体注入速度和温度对系统运行达到稳态的时间影响呈负相关性;较低的注入速度和较高的注入温度都可以有效延长系统生产寿命,此外,通过对出口法向热通量的分析得出最佳注入流速。
中图分类号:
王志国, 薛孟, 董芋双, 张田震, 秦晓凯, 韩强. 基于裂隙粗糙性表征方法的地热岩体热流耦合数值模拟与分析[J]. 化工学报, 2023, 74(S1): 223-234.
Zhiguo WANG, Meng XUE, Yushuang DONG, Tianzhen ZHANG, Xiaokai QIN, Qiang HAN. Numerical simulation and analysis of geothermal rock mass heat flow coupling based on fracture roughness characterization method[J]. CIESC Journal, 2023, 74(S1): 223-234.
图4 REV尺度下基于JRC表征法的干热岩物理模型及二维概念模型
Fig.4 Physical model and two-dimensional conceptual model of hot and dry rock based on JRC characterization at REV scale
介质 | 密度ρ/(kg/m3) | 热导率λ/ (W/(m·K)) | 比热容C/ (J/(kg·K)) | 动力黏度 μ/(Pa·s) | 渗透率/m2 |
---|---|---|---|---|---|
花岗岩 | 2620 | 2.784 | 757 | — | 1.0×10-18 |
水 | 1000 | 0.600 | 4200 | 0.001 | 1.0×10-11 |
表1 裂隙岩体物性参数
Table 1 Physical parameters of fractured rock mass
介质 | 密度ρ/(kg/m3) | 热导率λ/ (W/(m·K)) | 比热容C/ (J/(kg·K)) | 动力黏度 μ/(Pa·s) | 渗透率/m2 |
---|---|---|---|---|---|
花岗岩 | 2620 | 2.784 | 757 | — | 1.0×10-18 |
水 | 1000 | 0.600 | 4200 | 0.001 | 1.0×10-11 |
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