Caving‐enhanced geothermal system overwhelms fracturing‐ and pipe‐enhanced geothermal system in heat extraction

Abstract Fracturing a geothermal reservoir of hot dry rock (HDR) by the engineered stimulation is a prerequisite to efficient heat extraction of an enhanced geothermal system (EGS). However, the heat extraction performances of different EGSs employing distinct stimulation strategies remain unclear, resulting in the conundrum that which stimulation mode is optimal for heat extraction. Here, we numerically simulated the reservoir response to different stimulation modes through varying fractures/pipes assemblages, and examined the hydraulic and thermal processes and associated heat extraction performances. We found that the caving‐EGS (C‐EGS) with an adequately fractured reservoir yields the best heat extraction performance. Fractures/pipes in geothermal reservoirs of the fracturing‐EGS and pipe‐EGS inevitably produce preferential flow paths, which accelerate thermal drawdown and shorten the operation lifespan. Increasing connected/unconnected fractures can weaken the effect of preferential flow paths, postpone thermal drawdown, and therefore lead to a more remarkable heat extraction rate. Caving the geothermal reservoir into suitable‐sized blocks is the most effective stimulation in maximizing heat extraction efficiency, and thus, the C‐EGS owns great potential in geothermal energy commercialization. Our key findings facilitate the optimization of geothermal reservoir stimulation for large‐scale HDR exploitation.

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Publication Details

Journal
Deep Underground Science and Engineering
Published
2025-10-09
DOI
https://doi.org/10.1002/dug2.70057
Primary Topic
Geothermal Energy Systems and Applications
Type
article
Field-Weighted Citation Impact
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article

Caving‐enhanced geothermal system overwhelms fracturing‐ and pipe‐enhanced geothermal system in heat extraction

Fangchao Kang, Men Jinlong, Yingchun Li, Tianjiao Li et al.
Deep Underground Science and Engineering
Geothermal Energy Systems and Applications
article

Caving‐enhanced geothermal system overwhelms fracturing‐ and pipe‐enhanced geothermal system in heat extraction

Fangchao Kang, Men Jinlong, Yingchun Li, Tianjiao Li, Tang Chun-an
article en

Abstract

Abstract Fracturing a geothermal reservoir of hot dry rock (HDR) by the engineered stimulation is a prerequisite to efficient heat extraction of an enhanced geothermal system (EGS). However, the heat extraction performances of different EGSs employing distinct stimulation strategies remain unclear, resulting in the conundrum that which stimulation mode is optimal for heat extraction. Here, we numerically simulated the reservoir response to different stimulation modes through varying fractures/pipes assemblages, and examined the hydraulic and thermal processes and associated heat extraction performances. We found that the caving‐EGS (C‐EGS) with an adequately fractured reservoir yields the best heat extraction performance. Fractures/pipes in geothermal reservoirs of the fracturing‐EGS and pipe‐EGS inevitably produce preferential flow paths, which accelerate thermal drawdown and shorten the operation lifespan. Increasing connected/unconnected fractures can weaken the effect of preferential flow paths, postpone thermal drawdown, and therefore lead to a more remarkable heat extraction rate. Caving the geothermal reservoir into suitable‐sized blocks is the most effective stimulation in maximizing heat extraction efficiency, and thus, the C‐EGS owns great potential in geothermal energy commercialization. Our key findings facilitate the optimization of geothermal reservoir stimulation for large‐scale HDR exploitation.

Deep Underground Science and Engineering
Dalian University of Technology (CN), Dalian University (CN), Guangdong University of Petrochemical Technology (CN)
Openalex Percentile: Top 81%
Geothermal Energy Systems and Applications
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Caving‐enhanced geothermal system overwhelms fracturing‐ and pipe‐enhanced geothermal system in heat extraction — Fangchao Kang, Men Jinlong, et al. · Deep Underground Science and Engineering (2025) | TGRS Research Map | TGRS