Learning from data — Calibration and improvement of modeling thermo-osmosis effects in THM simulations based on the Mont Terri Deep Borehole experiment

This study presents results of an effort to validate the numerical implementation of the thermo-hydro-mechanical model with thermo-osmosis in the finite-element simulator OpenGeoSys. The simulator’s capability to capture thermo-osmotic effects on pressure fields under thermal gradients is evaluated by comparison with a reference analytical solution and field data from the Mont Terri Deep Borehole experiment. The results demonstrate that the thermo-osmosis significantly influences subsurface pressure dynamics, and OpenGeoSys effectively reproduces this phenomenon. Additionally, an improved formulation of the THM process is outlined, and a model of the experiment is extended by inhomogeneous effects to reproduce the observed data better. This work illustrates how combining analytical verification, numerical modeling and field observations can improve the interpretation of complex THM processes in clay formations. • Validation of simulation software for thermo-osmosis based on borehole data. • Discussion of sources of uncertainty in thermo-osmosis models. • Tests of different hypotheses on physical phenomena to improve fit to data. • Variable geothermal gradients and permeability heterogeneity act synergistically. • Heterogeneity is important and has to be considered appropriately in the models.

Authors

Institutions

Publication Details

Journal
International Journal of Rock Mechanics and Mining Sciences
Published
2026-03-14
DOI
https://doi.org/10.1016/j.ijrmms.2026.106513
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

Learning from data — Calibration and improvement of modeling thermo-osmosis effects in THM simulations based on the Mont Terri Deep Borehole experiment

Fabien Magri, Feliks Kiszkurno, Thomas Nagel
International Journal of Rock Mechanics and Mining Sciences
Geothermal Energy Systems and Applications
article

Learning from data — Calibration and improvement of modeling thermo-osmosis effects in THM simulations based on the Mont Terri Deep Borehole experiment

Fabien Magri, Feliks Kiszkurno, Thomas Nagel
article en

Abstract

This study presents results of an effort to validate the numerical implementation of the thermo-hydro-mechanical model with thermo-osmosis in the finite-element simulator OpenGeoSys. The simulator’s capability to capture thermo-osmotic effects on pressure fields under thermal gradients is evaluated by comparison with a reference analytical solution and field data from the Mont Terri Deep Borehole experiment. The results demonstrate that the thermo-osmosis significantly influences subsurface pressure dynamics, and OpenGeoSys effectively reproduces this phenomenon. Additionally, an improved formulation of the THM process is outlined, and a model of the experiment is extended by inhomogeneous effects to reproduce the observed data better. This work illustrates how combining analytical verification, numerical modeling and field observations can improve the interpretation of complex THM processes in clay formations. • Validation of simulation software for thermo-osmosis based on borehole data. • Discussion of sources of uncertainty in thermo-osmosis models. • Tests of different hypotheses on physical phenomena to improve fit to data. • Variable geothermal gradients and permeability heterogeneity act synergistically. • Heterogeneity is important and has to be considered appropriately in the models.

International Journal of Rock Mechanics and Mining SciencesVol. 202
Helmholtz Centre for Environmental Research (DE), Federal Office for the Safety of Nuclear Waste Management (DE), Freiberger Compound Materials (Germany) (DE), TU Bergakademie Freiberg (DE), Freie Universität Berlin (DE)
Openalex Percentile: Top 25%
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.