Articles | Volume 2
https://doi.org/10.5194/sand-2-71-2023
https://doi.org/10.5194/sand-2-71-2023
Conference Abstract
 | 
06 Sep 2023
Conference Abstract |  | 06 Sep 2023

Stress state estimation – new data and variability assessment of model results

Karsten Reiter, Oliver Heidbach, Moritz Ziegler, Silvio Giger, Rodney Garrard, and Jean Desroches

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Latest update: 20 Jun 2024
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Short summary
Numerical methods can be used to estimate the stress state in the Earth’s upper crust. Measured stress data are needed for model calibration. High-quality stress data are available for the calibration of models for possible radioactive waste repositories in Switzerland. A best-fit model predicts the stress state for each point within the model volume. In this study, variable rock properties are used to predict the potential stress variations due to inhomogeneous rock properties.