Articles | Volume 2
https://doi.org/10.5194/sand-2-85-2023
https://doi.org/10.5194/sand-2-85-2023
Conference Abstract
 | 
06 Sep 2023
Conference Abstract |  | 06 Sep 2023

Towards conditioning discrete fracture network models: a Monte Carlo simulation approach including existing site data

Christoph G. Gärtner, Klaus Fischer-Appelt, and Frank Charlier

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Short summary
Crystalline rock is a potential candidate for storing nuclear waste in the deep geological underground in Germany. However, fractures within these rocks pose a challenge, as they can create pathways for fluids that might corrode barriers and release radioactive materials into the environment. The exact configuration of these fracture networks is often unknown. Our study aims to better understand and predict these networks by combining existing data with advanced modelling techniques.