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

Related authors

Climate scenarios, groundwater models, and uncertainties in long-term safety
Marc Johnen, Judith Flügge, Jens Wolf, Klaus Fischer-Appelt, and Frank Charlier
Saf. Nucl. Waste Disposal, 2, 87–87, https://doi.org/10.5194/sand-2-87-2023,https://doi.org/10.5194/sand-2-87-2023, 2023
Short summary
Applicability of multi-criteria decision analysis in the site selection procedure for high-level radioactive waste final disposal: robustness-oriented comparison of emplacement concepts
Kurt Diedrich, Klaus Fischer-Appelt, and Frank Charlier
Saf. Nucl. Waste Disposal, 2, 169–170, https://doi.org/10.5194/sand-2-169-2023,https://doi.org/10.5194/sand-2-169-2023, 2023
Short summary
Mitigating uncertainty in the site selection process for a German deep geological repository through a risk-based and multi-criteria decision-making approach
Hajar El Fatihi, Klaus Fischer-Appelt, and Frank Charlier
Saf. Nucl. Waste Disposal, 2, 133–134, https://doi.org/10.5194/sand-2-133-2023,https://doi.org/10.5194/sand-2-133-2023, 2023
Short summary
Methods for safety-related weighting and comparative assessment in the site selection process (MABeSt)
Gerd Frieling, Klaus Fischer-Appelt, Ute Maurer-Rurack, Thomas Beuth, and Guido Bracke
Saf. Nucl. Waste Disposal, 1, 35–36, https://doi.org/10.5194/sand-1-35-2021,https://doi.org/10.5194/sand-1-35-2021, 2021
Impact of Radiation-Induced Microstructures on the Integrity of Spent Nuclear Fuel (SNF) Elements in Long-Term Storage
Neslihan Yanikömer, Rahim Nabbi, and Klaus Fischer-Appelt
Saf. Nucl. Waste Disposal, 1, 17–18, https://doi.org/10.5194/sand-1-17-2021,https://doi.org/10.5194/sand-1-17-2021, 2021
Short summary

Cited articles

Dorn, C., Linde, N., Le Borgne, T., Bour, O., and de Dreuzy, J.-R.: Conditioning of stochastic 3-D fracture networks to hydrological and geophysical data, Adv. Water Res., 62, 79–89, https://doi.org/10.1016/j.advwatres.2013.10.005, 2013. 
Lei, Q., Latham, J.-P., and Tsang, C.-F.: The use of discrete fracture networks for modelling coupled geomechanical and hydrological behaviour of fractured rocks, Comput. Geotech., 85, 151–176, https://doi.org/10.1016/j.compgeo.2016.12.024, 2017. 
Mönig, J., Bertrams, N., Bollingerfehr, W., Fahland, S., Frenzel, B., and Maßmann, J.: RESUS – Empfehlungen zur sicherheitsgerichteten Anwendung der geowissenschaftlichen Abwägungskriterien des StandAG: Synthesebericht, Gesellschaft für Anlagen- und Reaktorsicherheit, Köln, Garching b. München, Berlin, Braunschweig, GRS, GRS-567, ISBN 978-3-947685-53-0, 171, 2020.  
Mrugalla, S., Frenzel, B., Krumbholz, M., Sönnke, J., Stark, L., and Weitkamp, A.: CHRISTA-II: Beschreibung der generischen geologischen Modelle für die Endlagersysteme “multipler ewG” und “mKBS-3”, Ergebnisbericht, BGR (Bundesanstalt für Geowissenschaften und Rohstoffe), Hannover, 2020. 
Download
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.