Details zur Publikation

Kategorie Textpublikation
Referenztyp Zeitschriften
DOI 10.1016/j.ijrmms.2026.106513
Lizenz creative commons licence
Titel (primär) Learning from data — Calibration and improvement of modeling thermo-osmosis effects in THM simulations based on the Mont Terri Deep Borehole experiment
Autor Kiszkurno, F.K. ORCID logo ; Magri, F.; Nagel, T.
Quelle International Journal of Rock Mechanics and Mining Sciences
Erscheinungsjahr 2026
Department ENVINF
Band/Volume 202
Seite von art. 106513
Sprache englisch
Topic T5 Future Landscapes
Keywords Thermo-osmosis; Thermo-hydro-mechanical; Coupled flow processes; Clay rock; Nuclear waste storage; Uncertainty and inverse analysis; OpenGeoSys
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.
Kiszkurno, F.K., Magri, F., Nagel, T. (2026):
Learning from data — Calibration and improvement of modeling thermo-osmosis effects in THM simulations based on the Mont Terri Deep Borehole experiment
Int. J. Rock Mech. Min. Sci. 202 , art. 106513
10.1016/j.ijrmms.2026.106513