Sensitivity analysis of generic deep geologic repository with focus on spatial heterogeneity induced by stochastic fracture network generation

Brooks, D. M.; Swiler, L. P.; Stein, E.; Mariner, P. E.; Basurto, E.; Portone, T.; Eckert, A.; Leone, R.

doi:10.1016/j.advwatres.2022.104310

Title: Sensitivity analysis of generic deep geologic repository with focus on spatial heterogeneity induced by stochastic fracture network generation

Journal Article · Wed Sep 14 00:00:00 EDT 2022 · Advances in Water Resources

DOI:https://doi.org/10.1016/j.advwatres.2022.104310· OSTI ID:1887421

^[1]; Swiler, L. P. ^[1]; Stein, E. ^[1]; Mariner, P. E. ^[1];

^[1];

^[1]; Eckert, A. ^[1]; Leone, R. ^[1]

Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Geologic Disposal Safety Assessment Framework is a state-of-the-art simulation software toolkit for probabilistic post-closure performance assessment of systems for deep geologic disposal of nuclear waste developed by the United States Department of Energy. This paper presents a generic reference case and shows how it is being used to develop and demonstrate performance assessment methods within the Geologic Disposal Safety Assessment Framework that mitigate some of the challenges posed by high uncertainty and limited computational resources. Variance-based global sensitivity analysis is applied to assess the effects of spatial heterogeneity using graph-based summary measures for scalar and time-varying quantities of interest. Behavior of the system with respect to spatial heterogeneity is further investigated using ratios of water fluxes. This analysis shows that spatial heterogeneity is a dominant uncertainty in predictions of repository performance which can be identified in global sensitivity analysis using proxy variables derived from graph descriptions of discrete fracture networks. New quantities of interest defined using water fluxes proved useful for better understanding overall system behavior.

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Research Organization:: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Sponsoring Organization:: USDOE Office of Nuclear Energy (NE), Fuel Cycle Technologies (NE-5)

Grant/Contract Number:: NA0003525

OSTI ID:: 1887421

Report Number(s):: SAND2022-12354J; 709802; TRN: US2309813

Journal Information:: Advances in Water Resources, Vol. 169; ISSN 0309-1708

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

References (17)

Uncertainty and sensitivity analysis in performance assessment for the proposed high-level radioactive waste repository at Yucca Mountain, Nevada Helton, Jon C.; Hansen, Clifford W.; Sallaberry, Cédric J. Reliability Engineering & System Safety, Vol. 107 https://doi.org/10.1016/j.ress.2011.07.002	journal	November 2012
A comparative study of discrete fracture network and equivalent continuum models for simulating flow and transport in the far field of a hypothetical nuclear waste repository in crystalline host rock Hadgu, Teklu; Karra, Satish; Kalinina, Elena Journal of Hydrology, Vol. 553 https://doi.org/10.1016/j.jhydrol.2017.07.046	journal	October 2017
Global sensitivity analysis using polynomial chaos expansions Sudret, Bruno Reliability Engineering & System Safety, Vol. 93, Issue 7 https://doi.org/10.1016/j.ress.2007.04.002	journal	July 2008
Is the permeability of naturally fractured rocks scale dependent? Azizmohammadi, Siroos; Matthäi, Stephan K. Water Resources Research, Vol. 53, Issue 9 https://doi.org/10.1002/2016WR019764	journal	September 2017
Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices Saltelli, Andrea; Aleksankina, Ksenia; Becker, William Environmental Modelling & Software, Vol. 114 https://doi.org/10.1016/j.envsoft.2019.01.012	journal	April 2019
Multi-scale groundwater flow modeling during temperate climate conditions for the safety assessment of the proposed high-level nuclear waste repository site at Forsmark, Sweden Joyce, Steven; Hartley, Lee; Applegate, David Hydrogeology Journal, Vol. 22, Issue 6 https://doi.org/10.1007/s10040-014-1165-6	journal	July 2014
Importance measures in global sensitivity analysis of nonlinear models Homma, Toshimitsu; Saltelli, Andrea Reliability Engineering & System Safety, Vol. 52, Issue 1 https://doi.org/10.1016/0951-8320(96)00002-6	journal	April 1996
A continuum representation of fracture networks. Part I: Method and basic test cases Svensson, Urban Journal of Hydrology, Vol. 250, Issue 1-4 https://doi.org/10.1016/S0022-1694(01)00435-8	journal	September 2001
Evaluating the performance of parallel subsurface simulators: An illustrative example with PFLOTRAN: Evaluating the Parallel Performance of Pflotran Hammond, G. E.; Lichtner, P. C.; Mills, R. T. Water Resources Research, Vol. 50, Issue 1 https://doi.org/10.1002/2012WR013483	journal	January 2014
Upscaled discrete fracture matrix model (UDFM): an octree-refined continuum representation of fractured porous media Sweeney, Matthew R.; Gable, Carl W.; Karra, Satish Computational Geosciences, Vol. 24, Issue 1 https://doi.org/10.1007/s10596-019-09921-9	journal	December 2019
An integrated workflow for stress and flow modelling using outcrop-derived discrete fracture networks Bisdom, K.; Nick, H. M.; Bertotti, G. Computers & Geosciences, Vol. 103 https://doi.org/10.1016/j.cageo.2017.02.019	journal	June 2017
Evolution of repository and waste package designs for Yucca Mountain disposal system for spent nuclear fuel and high-level radioactive waste Rechard, Rob P.; Voegele, Michael D. Reliability Engineering & System Safety, Vol. 122 https://doi.org/10.1016/j.ress.2013.06.018	journal	February 2014
Quantifying Topological Uncertainty in Fractured Systems using Graph Theory and Machine Learning Srinivasan, Gowri; Hyman, Jeffrey D.; Osthus, David A. Scientific Reports, Vol. 8, Issue 1 https://doi.org/10.1038/s41598-018-30117-1	journal	August 2018
Advancing Graph-Based Algorithms for Predicting Flow and Transport in Fractured Rock Viswanathan, H. S.; Hyman, J. D.; Karra, S. Water Resources Research, Vol. 54, Issue 9 https://doi.org/10.1029/2017WR022368	journal	September 2018
Semi-Analytic Stereological Analysis of Waste Package/Fracture Intersections in a Granitic Rock Nuclear Waste Repository Hedin, Allan Mathematical Geosciences, Vol. 40, Issue 6 https://doi.org/10.1007/s11004-008-9175-3	journal	May 2008
dfnWorks: A discrete fracture network framework for modeling subsurface flow and transport Hyman, Jeffrey D.; Karra, Satish; Makedonska, Nataliia Computers & Geosciences, Vol. 84 https://doi.org/10.1016/j.cageo.2015.08.001	journal	November 2015
Self-consistency of a heterogeneous continuum porous medium representation of a fractured medium Jackson, C. Peter; Hoch, Andrew R.; Todman, Steve Water Resources Research, Vol. 36, Issue 1 https://doi.org/10.1029/1999WR900249	journal	January 2000

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