Articles | Volume 2
https://doi.org/10.5194/sand-2-79-2023
https://doi.org/10.5194/sand-2-79-2023
Conference Abstract
 | 
06 Sep 2023
Conference Abstract |  | 06 Sep 2023

No data instead of big data – a novel approach to stress modelling

Moritz O. Ziegler, Oliver Heidbach, and Mojtaba Rajabi

Related authors

About the Trustworthiness of Physics-Based Machine Learning – A Considerations for Geomechanical Applications
Denise Degen, Moritz Ziegler, Oliver Heidbach, Andreas Henk, Karsten Reiter, and Florian Wellmann
EGUsphere, https://doi.org/10.5194/egusphere-2024-2932,https://doi.org/10.5194/egusphere-2024-2932, 2024
Short summary
Stress state at faults: the influence of rock stiffness contrast, stress orientation, and ratio
Moritz O. Ziegler, Robin Seithel, Thomas Niederhuber, Oliver Heidbach, Thomas Kohl, Birgit Müller, Mojtaba Rajabi, Karsten Reiter, and Luisa Röckel
Solid Earth, 15, 1047–1063, https://doi.org/10.5194/se-15-1047-2024,https://doi.org/10.5194/se-15-1047-2024, 2024
Short summary
Impact of faults on the remote stress state
Karsten Reiter, Oliver Heidbach, and Moritz O. Ziegler
Solid Earth, 15, 305–327, https://doi.org/10.5194/se-15-305-2024,https://doi.org/10.5194/se-15-305-2024, 2024
Short summary
Stress state estimation – new data and variability assessment of model results
Karsten Reiter, Oliver Heidbach, Moritz Ziegler, Silvio Giger, Rodney Garrard, and Jean Desroches
Saf. Nucl. Waste Disposal, 2, 71–72, https://doi.org/10.5194/sand-2-71-2023,https://doi.org/10.5194/sand-2-71-2023, 2023
Short summary
The slip tendency of 3D faults in Germany
Luisa Röckel, Steffen Ahlers, Sophia Morawietz, Birgit Müller, Tobias Hergert, Karsten Reiter, Andreas Henk, Moritz Ziegler, Oliver Heidbach, and Frank Schilling
Saf. Nucl. Waste Disposal, 2, 73–73, https://doi.org/10.5194/sand-2-73-2023,https://doi.org/10.5194/sand-2-73-2023, 2023
Short summary
Download
Short summary
The subsurface is subject to constant stress. With increasing depth, more rock overlies an area, thereby increasing the stress. There is also constant stress from the sides. Knowledge of this stress is fundamental to build lasting and safe underground structures. Very few data on the stress state are available; thus, computer models are used to predict this parameter. We present a method to improve the quality of the computer models, even if no direct data on the stress state are available.