Analytical solution for temperature-depth in geothermal reservoirs with mixed heat conduction types: A case study from the Huainan Coalfield, Anhui Province, China

IF 2.1 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Journal of Applied Geophysics Pub Date : 2025-07-01 Epub Date: 2025-04-14 DOI:10.1016/j.jappgeo.2025.105727
Yuan Zhang , Shan Wu , Haifeng Lu , Fusheng Zha
{"title":"Analytical solution for temperature-depth in geothermal reservoirs with mixed heat conduction types: A case study from the Huainan Coalfield, Anhui Province, China","authors":"Yuan Zhang ,&nbsp;Shan Wu ,&nbsp;Haifeng Lu ,&nbsp;Fusheng Zha","doi":"10.1016/j.jappgeo.2025.105727","DOIUrl":null,"url":null,"abstract":"<div><div>Temperature measurements in geothermal reservoirs plays a crucial role in understanding the source of subsurface thermal energy storage and the extraction of geothermal power. However, deploying a multitude of monitoring points during underground drilling results in substantial measurement expenses. To address this challenge, a simplified analytical model is often utilized to estimate the temperature distribution throughout the formation. This estimation relies on wellhead and bottom-hole temperatures, as well as parameters related to the formation's thermal properties. Nevertheless, the varying distribution of groundwater across different zones alters the heat transfer process. Temperature calculations considering multiple transfer processes are still limited. Therefore, in this paper we first formulate two common types of heat transfer models: conduction and convection-conduction. By integrating these two types of heat transfer, we characterize and calculate the temperature distribution for geothermal reservoirs in a manner more aligned with reservoir conditions. To validate the model's accuracy, we compare its calculated results with temperature measurements obtained from geothermal wells in Huainan Coalfield. The results demonstrate that the developed model is highly applicable and exhibits strong simulation accuracy, with the maximum error between the analytical solutions and the measured temperature curve being less than 0.5 °C. This model is particularly suitable for capturing the actual heat transfer behavior in the geothermal reservoir as geothermal water ascends. Furthermore, it can be employed to invert the volume flow rate of geothermal water, highlighting its significance in geothermal development engineering.</div></div>","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":"238 ","pages":"Article 105727"},"PeriodicalIF":2.1000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Applied Geophysics","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0926985125001089","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/4/14 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

Temperature measurements in geothermal reservoirs plays a crucial role in understanding the source of subsurface thermal energy storage and the extraction of geothermal power. However, deploying a multitude of monitoring points during underground drilling results in substantial measurement expenses. To address this challenge, a simplified analytical model is often utilized to estimate the temperature distribution throughout the formation. This estimation relies on wellhead and bottom-hole temperatures, as well as parameters related to the formation's thermal properties. Nevertheless, the varying distribution of groundwater across different zones alters the heat transfer process. Temperature calculations considering multiple transfer processes are still limited. Therefore, in this paper we first formulate two common types of heat transfer models: conduction and convection-conduction. By integrating these two types of heat transfer, we characterize and calculate the temperature distribution for geothermal reservoirs in a manner more aligned with reservoir conditions. To validate the model's accuracy, we compare its calculated results with temperature measurements obtained from geothermal wells in Huainan Coalfield. The results demonstrate that the developed model is highly applicable and exhibits strong simulation accuracy, with the maximum error between the analytical solutions and the measured temperature curve being less than 0.5 °C. This model is particularly suitable for capturing the actual heat transfer behavior in the geothermal reservoir as geothermal water ascends. Furthermore, it can be employed to invert the volume flow rate of geothermal water, highlighting its significance in geothermal development engineering.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
混合热传导型地热储层温度-深度解析解——以安徽淮南煤田为例
地热储层的温度测量在了解地下热能存储源和提取地热能方面起着至关重要的作用。然而,在地下钻探过程中部署大量监测点会产生大量测量费用。为了应对这一挑战,通常采用简化的分析模型来估算整个地层的温度分布。这种估算依赖于井口和井底温度,以及与地层热特性相关的参数。然而,地下水在不同区域的不同分布会改变传热过程。考虑到多种传热过程的温度计算仍然有限。因此,本文首先提出了两种常见的传热模型:传导和对流-传导。通过整合这两种传热方式,我们以更符合储层条件的方式描述和计算了地热储层的温度分布。为了验证模型的准确性,我们将其计算结果与淮南煤田地热井的温度测量结果进行了比较。结果表明,所开发的模型适用性强,模拟精度高,分析解与实测温度曲线之间的最大误差小于 0.5 °C。该模型尤其适用于捕捉地热储层中地热水上升时的实际传热行为。此外,该模型还可用于反演地热水的体积流量,在地热开发工程中具有重要意义。
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 去求助
来源期刊
Journal of Applied Geophysics
Journal of Applied Geophysics 地学-地球科学综合
CiteScore
3.60
自引率
10.00%
发文量
274
审稿时长
4 months
期刊介绍: The Journal of Applied Geophysics with its key objective of responding to pertinent and timely needs, places particular emphasis on methodological developments and innovative applications of geophysical techniques for addressing environmental, engineering, and hydrological problems. Related topical research in exploration geophysics and in soil and rock physics is also covered by the Journal of Applied Geophysics.
期刊最新文献
Reconstruction of electrical resistivity tomography (ERT) data using different base measurements Hybrid GIS-machine learning approach for base metal prospectivity mapping in the Gawler Craton, South Australia Optimized gradient boosting models for accurate and reliable prediction of rock electrical conductivity A novel method for spatial localization of dam leakage channels based on total magnetic field gradient Simultaneous denoising and interpolation of seismic data based on spatial multi-scale cross-shaped window Transformer
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1