Investigating the impact of wellbore lateral heat transfer on the performance of high-temperature aquifer thermal energy storage system by the coupling of wellbore and reservoir simulators

0 ENERGY & FUELS
Guoqiang Yan , Pål Østebø Andersen , Yangyang Qiao , Dimitrios Georgios Hatzignatiou , Bo Feng , Thomas Kohl
{"title":"Investigating the impact of wellbore lateral heat transfer on the performance of high-temperature aquifer thermal energy storage system by the coupling of wellbore and reservoir simulators","authors":"Guoqiang Yan ,&nbsp;Pål Østebø Andersen ,&nbsp;Yangyang Qiao ,&nbsp;Dimitrios Georgios Hatzignatiou ,&nbsp;Bo Feng ,&nbsp;Thomas Kohl","doi":"10.1016/j.geoen.2025.213874","DOIUrl":null,"url":null,"abstract":"<div><div>This study investigates the often-overlooked impact of wellbore lateral heat transfer on high-temperature aquifer thermal energy storage (HT-ATES) systems, focusing on the Swiss Bern project. We coupled our in-house wellbore simulator (Moskito) with the reservoir simulator (PorousFlow) under the MOOSE framework to analyze wellbore heat loss. Utilizing both numerical and analytical approaches, we reveal how wellbore heat loss affects HT-ATES performance compared to previous studies that ignored it. Our sensitivity analysis examines various wellbore configurations and operational parameters, evaluating performance indicators including extracted energy, wellbore lateral heat loss fraction, and reservoir heat loss fraction. Key findings include: a more than 10 % difference between the analytical and numerical calculations of wellbore lateral heat loss. Smaller wellbore diameters, such as 6.75 inches, enhance energy recovery efficiency by enabling larger fluid extraction volumes. Low thermal conductivity wellbore casing materials (e.g., 0.045 W m<sup>−1</sup>∙K<sup>−1</sup>) could reduce wellbore lateral heat loss by 51.4 %. Although energy recovery efficiency declines with more supporting wells during the initial storage cycle, three supporting wells yield the best performance in later cycles due to larger extracted fluid volumes. High flow rates (e.g., 25 L s<sup>−1</sup>) enhance energy recovery efficiency by decreasing heat losses through faster fluid movement, which reduces residence time and thermal diffusion. While high fluid injection temperatures (e.g., 210 °C) increase heat losses, overall heat loss fractions decrease due to significant injected energy. This study highlights the critical role of wellbore lateral heat loss in evaluating the performance of the HT-ATES system, providing insights on how to design and optimize these systems.</div></div>","PeriodicalId":100578,"journal":{"name":"Geoenergy Science and Engineering","volume":"251 ","pages":"Article 213874"},"PeriodicalIF":0.0000,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geoenergy Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2949891025002325","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

Abstract

This study investigates the often-overlooked impact of wellbore lateral heat transfer on high-temperature aquifer thermal energy storage (HT-ATES) systems, focusing on the Swiss Bern project. We coupled our in-house wellbore simulator (Moskito) with the reservoir simulator (PorousFlow) under the MOOSE framework to analyze wellbore heat loss. Utilizing both numerical and analytical approaches, we reveal how wellbore heat loss affects HT-ATES performance compared to previous studies that ignored it. Our sensitivity analysis examines various wellbore configurations and operational parameters, evaluating performance indicators including extracted energy, wellbore lateral heat loss fraction, and reservoir heat loss fraction. Key findings include: a more than 10 % difference between the analytical and numerical calculations of wellbore lateral heat loss. Smaller wellbore diameters, such as 6.75 inches, enhance energy recovery efficiency by enabling larger fluid extraction volumes. Low thermal conductivity wellbore casing materials (e.g., 0.045 W m−1∙K−1) could reduce wellbore lateral heat loss by 51.4 %. Although energy recovery efficiency declines with more supporting wells during the initial storage cycle, three supporting wells yield the best performance in later cycles due to larger extracted fluid volumes. High flow rates (e.g., 25 L s−1) enhance energy recovery efficiency by decreasing heat losses through faster fluid movement, which reduces residence time and thermal diffusion. While high fluid injection temperatures (e.g., 210 °C) increase heat losses, overall heat loss fractions decrease due to significant injected energy. This study highlights the critical role of wellbore lateral heat loss in evaluating the performance of the HT-ATES system, providing insights on how to design and optimize these systems.
通过井筒与储层模拟耦合,研究井筒横向换热对高温含水层储热系统性能的影响
本研究以瑞士Bern项目为研究对象,探讨了井筒横向传热对高温含水层储热系统(HT-ATES)的影响。在MOOSE框架下,我们将内部井筒模拟器(Moskito)与油藏模拟器(PorousFlow)相结合,分析井筒热损失。利用数值和分析方法,与之前的研究相比,我们揭示了井筒热损失如何影响HT-ATES性能。我们的敏感性分析考察了各种井筒配置和操作参数,评估了包括提取能量、井筒横向热损失分数和油藏热损失分数在内的性能指标。主要发现包括:井筒横向热损失的分析计算与数值计算之间存在10%以上的差异。较小的井眼直径(如6.75英寸)通过实现更大的流体萃取量来提高能量回收效率。低导热系数井筒套管材料(例如0.045 W m−1∙K−1)可将井筒横向热损失降低51.4%。虽然在初始储存周期中,随着支撑井数量的增加,能量回收效率会下降,但由于提取的流体体积较大,在后期循环中,3口支撑井的性能最好。高流速(例如25 L s - 1)通过更快的流体运动减少热损失,从而减少停留时间和热扩散,从而提高能量回收效率。虽然高流体注入温度(例如210°C)会增加热损失,但由于注入的能量很大,总体热损失分数会降低。该研究强调了井筒横向热损失在评估HT-ATES系统性能中的关键作用,并为如何设计和优化这些系统提供了见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
1.00
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信