TY - JOUR
T1 - Conceptual uncertainties in modelling the interaction between engineered and natural barriers of nuclear waste repositories in crystalline rocks
AU - Finsterle, S.
AU - Lanyon, B.
AU - Åkesson, M.
AU - Baxter, S.
AU - Bergström, M.
AU - Bockgård, N.
AU - Dershowitz, W.
AU - Dessirier, B.
AU - Frampton, A.
AU - Fransson, Å.
AU - Gens, A.
AU - Gylling, B.
AU - Hančilová, I.
AU - Holton, D.
AU - Jarsjö, J.
AU - Kim, J.-S.
AU - Kröhn, K.-P.
AU - Malmberg, D.
AU - Pulkkanen, Veli-Matti
AU - Sawada, A.
AU - Sjöland, A.
AU - Svensson, U.
AU - Vidstrand, P.
AU - Viswanathan, H.
N1 - Funding Information:
Funding: The authors thank SKB for hosting the Task Forces on Engineered Barrier Systems (EBS Task Force) and Ground Water Flow and Transport of Solutes (GWFTS Task Force) as well as the BRIE experiment, and for its financial and logistical support. The authors also thank the Task Delegate organizations, including the Federal Ministry for Economic Affairs and Energy (Germany), the United States Department of Energy (USA), the Japan Atomic Energy Agency (Japan), the Korea Atomic Energy Research Institute (Korea), Posiva Oy (Finland), Radioactive Waste Management Ltd (UK), Správa úložišt´ radioaktivních odpadu (Czech Republic) and Svensk Kärnbränslehantering AB (Sweden), for their financial support.
Publisher Copyright:
© 2019 The Author(s). Published by The Geological Society of London. All rights reserved.
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2018/12/7
Y1 - 2018/12/7
N2 - Nuclear waste disposal in geological formations relies on a multi-barrier concept that includes engineered components – which, in many cases, include a bentonite buffer surrounding waste packages – and the host rock. Contrasts in materials, together with gradients across the interface between the engineered and natural barriers, lead to complex interactions between these two subsystems. Numerical modelling, combined with monitoring and testing data, can be used to improve our overall understanding of rock–bentonite interactions and to predict the performance of this coupled system. Although established methods exist to examine the prediction uncertainties due to uncertainties in the input parameters, the impact of conceptual model decisions on the quantitative and qualitative modelling results is more difficult to assess. A Swedish Nuclear Fuel and Waste Management Company Task Force project facilitated such an assessment. In this project, 11 teams used different conceptualizations and modelling tools to analyse the Bentonite Rock Interaction Experiment (BRIE) conducted at the Äspö Hard Rock Laboratory in Sweden. The exercise showed that prior system understanding along with the features implemented in the available simulators affect the processes included in the conceptual model. For some of these features, sufficient characterization data are available to obtain defensible results and interpretations, whereas others are less supported. The exercise also helped to identify the conceptual uncertainties that led to different assessments of the relative importance of the engineered and natural barrier subsystems. The range of predicted bentonite wetting times encompassed by the ensemble results were considerably larger than the ranges derived from individual models. This is a consequence of conceptual uncertainties, demonstrating the relevance of using a multi-model approach involving alternative conceptualizations.
AB - Nuclear waste disposal in geological formations relies on a multi-barrier concept that includes engineered components – which, in many cases, include a bentonite buffer surrounding waste packages – and the host rock. Contrasts in materials, together with gradients across the interface between the engineered and natural barriers, lead to complex interactions between these two subsystems. Numerical modelling, combined with monitoring and testing data, can be used to improve our overall understanding of rock–bentonite interactions and to predict the performance of this coupled system. Although established methods exist to examine the prediction uncertainties due to uncertainties in the input parameters, the impact of conceptual model decisions on the quantitative and qualitative modelling results is more difficult to assess. A Swedish Nuclear Fuel and Waste Management Company Task Force project facilitated such an assessment. In this project, 11 teams used different conceptualizations and modelling tools to analyse the Bentonite Rock Interaction Experiment (BRIE) conducted at the Äspö Hard Rock Laboratory in Sweden. The exercise showed that prior system understanding along with the features implemented in the available simulators affect the processes included in the conceptual model. For some of these features, sufficient characterization data are available to obtain defensible results and interpretations, whereas others are less supported. The exercise also helped to identify the conceptual uncertainties that led to different assessments of the relative importance of the engineered and natural barrier subsystems. The range of predicted bentonite wetting times encompassed by the ensemble results were considerably larger than the ranges derived from individual models. This is a consequence of conceptual uncertainties, demonstrating the relevance of using a multi-model approach involving alternative conceptualizations.
UR - http://www.scopus.com/inward/record.url?scp=85067103190&partnerID=8YFLogxK
U2 - 10.1144/SP482.12
DO - 10.1144/SP482.12
M3 - Article
SN - 0305-8719
VL - 482
SP - 261
EP - 283
JO - Geological Society Special Publication
JF - Geological Society Special Publication
IS - 1
ER -