Prediction of Geothermal Conditions in Zhangzhou Area Based on Gravity and Thermal Modelling

ABSTRACT The Zhangzhou area in South China, a key target for high‐temperature geothermal research, has long faced challenges in deep geothermal exploration due to its complex geological structure. This study systematically reveals the deep thermal field distribution characteristics for the first time by constructing a three‐dimensional (3‐D) geological structure model. The gravity forward modelling results show that the subsurface distribution of granite intrusions far exceeds their surface outcrops, with vertical extensions reaching up to 50% of the upper crust thickness. Numerical simulations of the geothermal field based on this model indicate a west‐high‐east‐low heat flow pattern, with maximum heat flow density of 107 mW/m 2 in the central‐western high heat flow zone. Notably, a significant high‐temperature anomaly exists in the deep Nanjing‐Pinghe‐Yunxiao tectonic zone, primarily controlled by three factors: variations in sedimentary cover thickness, 3‐D geometry of granite intrusions, and intensity of deep mantle‐derived heat flow. This finding provides new theoretical insights for locating deep geothermal resources. Notably, areas conducive to high‐temperature geothermal development encompass approximately five‐sixths of the total region. Furthermore, the density model exhibits excellent concordance with seismic interpretation profiles, while discrepancies between the thermal model and empirical temperature measurements are primarily attributable to groundwater dynamics.

Authors

Institutions

Publication Details

Journal
Geological Journal
Published
2026-03-07
DOI
https://doi.org/10.1002/gj.70228
Primary Topic
Geothermal Energy Systems and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prediction of Geothermal Conditions in Zhangzhou Area Based on Gravity and Thermal Modelling

Nansheng Qiu, Keyan Liao
Geological Journal
Geothermal Energy Systems and Applications
article

Prediction of Geothermal Conditions in Zhangzhou Area Based on Gravity and Thermal Modelling

Nansheng Qiu, Keyan Liao
article en

Abstract

ABSTRACT The Zhangzhou area in South China, a key target for high‐temperature geothermal research, has long faced challenges in deep geothermal exploration due to its complex geological structure. This study systematically reveals the deep thermal field distribution characteristics for the first time by constructing a three‐dimensional (3‐D) geological structure model. The gravity forward modelling results show that the subsurface distribution of granite intrusions far exceeds their surface outcrops, with vertical extensions reaching up to 50% of the upper crust thickness. Numerical simulations of the geothermal field based on this model indicate a west‐high‐east‐low heat flow pattern, with maximum heat flow density of 107 mW/m 2 in the central‐western high heat flow zone. Notably, a significant high‐temperature anomaly exists in the deep Nanjing‐Pinghe‐Yunxiao tectonic zone, primarily controlled by three factors: variations in sedimentary cover thickness, 3‐D geometry of granite intrusions, and intensity of deep mantle‐derived heat flow. This finding provides new theoretical insights for locating deep geothermal resources. Notably, areas conducive to high‐temperature geothermal development encompass approximately five‐sixths of the total region. Furthermore, the density model exhibits excellent concordance with seismic interpretation profiles, while discrepancies between the thermal model and empirical temperature measurements are primarily attributable to groundwater dynamics.

Geological Journal
China University of Petroleum, Beijing (CN), China Geological Survey (CN)
Openalex Percentile: Top 34%
Geothermal Energy Systems and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.