Estimation of the geothermal potential in the Loranca sub-basin, NE Alto Guadiana area (Central Spain) based on 3D modelling and petrophysical properties

This study presents a methodology for estimating the geothermal potential of the Loranca sub-basin, located in the north-eastern part of the Alto Guadiana region (Central Spain). The approach integrates rock petrophysical data with a 3D geological modelling. Laboratory analyses of rock samples collected near the study area were conducted to characterise key petrophysical properties, including thermal conductivity, thermal diffusivity, specific heat capacity, and density. These petrophysical parameters, combined with the regional boundary conditions, were incorporated into a 3D geological model of the area using Geomodeller software to simulate temperature distribution with depth. The geological and thermal models were exported and processed with the 3DHIP_Calculator software to evaluate deep geothermal potential. 3DHIP_Calculator code, through a probabilistic Monte Carlo approach, provided estimates of the Heat in Place (HIP) and Recoverable Heat (Hrec) for the aquifer. These models illustrate depth-temperature relationships and highlight the Jurassic aquifer as the most promising lithology for heat storage. The results reveal a low geothermal potential for the Jurassic unit, suitable mainly for low-enthalpy geothermal applications (heating and cooling systems, balneotherapy, greenhouses, etc.). This methodology reduces uncertainty in resource estimation and provides a reproducible tool for future geothermal assessments. KEYWORDS: Geothermal, Petrophysics, 3D Thermal Modeling, Heat in Place, Recoverable Heat.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-30
DOI
https://doi.org/10.5281/zenodo.18503611
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

Estimation of the geothermal potential in the Loranca sub-basin, NE Alto Guadiana area (Central Spain) based on 3D modelling and petrophysical properties

Enrique Gómez-Rivas, Conxi Ayala, Tibavija Guio Johan Andres
Zenodo (CERN European Organization for Nuclear Research)
Geothermal Energy Systems and Applications
article

Estimation of the geothermal potential in the Loranca sub-basin, NE Alto Guadiana area (Central Spain) based on 3D modelling and petrophysical properties

Enrique Gómez-Rivas, Conxi Ayala, Tibavija Guio Johan Andres
article en

Abstract

This study presents a methodology for estimating the geothermal potential of the Loranca sub-basin, located in the north-eastern part of the Alto Guadiana region (Central Spain). The approach integrates rock petrophysical data with a 3D geological modelling. Laboratory analyses of rock samples collected near the study area were conducted to characterise key petrophysical properties, including thermal conductivity, thermal diffusivity, specific heat capacity, and density. These petrophysical parameters, combined with the regional boundary conditions, were incorporated into a 3D geological model of the area using Geomodeller software to simulate temperature distribution with depth. The geological and thermal models were exported and processed with the 3DHIP_Calculator software to evaluate deep geothermal potential. 3DHIP_Calculator code, through a probabilistic Monte Carlo approach, provided estimates of the Heat in Place (HIP) and Recoverable Heat (Hrec) for the aquifer. These models illustrate depth-temperature relationships and highlight the Jurassic aquifer as the most promising lithology for heat storage. The results reveal a low geothermal potential for the Jurassic unit, suitable mainly for low-enthalpy geothermal applications (heating and cooling systems, balneotherapy, greenhouses, etc.). This methodology reduces uncertainty in resource estimation and provides a reproducible tool for future geothermal assessments. KEYWORDS: Geothermal, Petrophysics, 3D Thermal Modeling, Heat in Place, Recoverable Heat.

Zenodo (CERN European Organization for Nuclear Research)
Geociencias Barcelona (ES), Universitat de Barcelona (ES)
Openalex Percentile: Top 49%
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.