Uncertainty quantification of two-phase flow problems via measure theory and the generalized multiscale finite element method

Presho, M.; Mattis, S.; Dawson, C.

doi:10.1007/s10596-016-9603-2

Uncertainty quantification of two-phase flow problems via measure theory and the generalized multiscale finite element method

Journal Article · Tue Nov 29 04:00:00 EST 2016 · Computational Geosciences

DOI:https://doi.org/10.1007/s10596-016-9603-2· OSTI ID:1533336

Presho, M. ^[1]; Mattis, S.; Dawson, C.

DOE/OSTI

Not provided.

Research Organization:: Univ. of Texas, Austin, TX (United States)

Sponsoring Organization:: USDOE Office of Science (SC)

DOE Contract Number:: SC0009286

OSTI ID:: 1533336

Journal Information:: Computational Geosciences, Journal Name: Computational Geosciences Journal Issue: 2 Vol. 21; ISSN 1420-0597

Publisher:: Springer

Country of Publication:: United States

Language:: English

References (27)

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Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology Beven, Keith; Freer, Jim Journal of Hydrology, Vol. 249, Issue 1-4 https://doi.org/10.1016/S0022-1694(01)00421-8	journal	August 2001
Domain Decomposition Preconditioners for Multiscale Flows in High Contrast Media: Reduced Dimension Coarse Spaces Galvis, Juan; Efendiev, Yalchin Multiscale Modeling & Simulation, Vol. 8, Issue 5 https://doi.org/10.1137/100790112	journal	January 2010
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Quantifying uncertainty in material damage from vibrational data Butler, T.; Huhtala, A.; Juntunen, M. Journal of Computational Physics, Vol. 283 https://doi.org/10.1016/j.jcp.2014.12.011	journal	February 2015
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