Articles | Volume 17, issue 1
https://doi.org/10.5194/se-17-179-2026
https://doi.org/10.5194/se-17-179-2026
Research article
 | 
30 Jan 2026
Research article |  | 30 Jan 2026

Spatial influence of fault-related stress perturbations in northern Switzerland

Lalit Sai Aditya Reddy Velagala, Oliver Heidbach, Moritz Ziegler, Karsten Reiter, Mojtaba Rajabi, Andreas Henk, Silvio B. Giger, and Tobias Hergert

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Cited articles

Ahlers, S., Henk, A., Hergert, T., Reiter, K., Müller, B., Röckel, L., Heidbach, O., Morawietz, S., Scheck-Wenderoth, M., and Anikiev, D.: 3D crustal stress state of Germany according to a data-calibrated geomechanical model, Solid Earth, 12, 1777–1799, https://doi.org/10.5194/se-12-1777-2021, 2021. 
Ahlers, S., Röckel, L., Hergert, T., Reiter, K., Heidbach, O., Henk, A., Müller, B., Morawietz, S., Scheck-Wenderoth, M., and Anikiev, D.: The crustal stress field of Germany: a refined prediction, Geothermal Energy, 10, https://doi.org/10.1186/s40517-022-00222-6, 2022. 
Aleksandrowski, P., Inderhaug, O. H. E., and Knapstad, B.: Tectonic structures and wellbore breakout orientation, The 33rd U.S. Symposium on Rock Mechanics (USRMS), Santa Fe, New Mexico, USA, 3–5 June 1992, https://doi.org/10.1016/0148-9062(93)90652-T, 1992. 
Amadei, B. and Stephansson, O.: Rock stress and its measurement, Springer Dordrecht, https://doi.org/10.1007/978-94-011-5346-1, 1997. 
Azzola, J., Valley, B., Schmittbuhl, J., and Genter, A.: Stress characterization and temporal evolution of borehole failure at the Rittershoffen geothermal project, Solid Earth, 10, 1155–1180, https://doi.org/10.5194/se-10-1155-2019, 2019. 
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Short summary
We assess the fault impact on the stress field in northern Switzerland using 3D geomechanical models, calibrated with stress data. We see that faults affect the stresses only locally, with negligible impact beyond 1 km, suggesting that faults may not be necessary in reservoir-scale models predicting stresses of undisturbed rock volumes, such as for a geological repository. Omitting them can substantially reduce model set-up time and computational cost without compromising prediction reliability.
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