Uncertainty quantification in discrete fracture network models: stochastic fracture transmissivity

DOI10.1016/j.camwa.2015.05.013zbMath1443.76210OpenAlexW1635039405MaRDI QIDQ2006183

Claudio Canuto, Stefano Berrone, Stefano Scialò, Sandra Pieraccini

Publication date: 8 October 2020

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.camwa.2015.05.013

zbMATH Keywords

sparse gridsuncertainty quantificationfracture networksstochastic collocation methodsDarcy's law in fractured media

Mathematics Subject Classification ID

Anelastic fracture and damage (74R20) Flows in porous media; filtration; seepage (76S05) Computational methods for stochastic equations (aspects of stochastic analysis) (60H35)

Related Items

Towards effective flow simulations in realistic discrete fracture networks, Uncertainty quantification analysis in discrete fracture network flow simulations, A Lagrange multiplier method for a discrete fracture model for flow in porous media, A reduced basis method for a PDE-constrained optimization formulation in discrete fracture network flow simulations, Cut finite elements for convection in fractured domains, Reliable a posteriori mesh adaptivity in discrete fracture network flow simulations, A Posteriori Error Estimate for a PDE-Constrained Optimization Formulation for the Flow in DFNs, A hybrid mortar virtual element method for discrete fracture network simulations, Non-stationary transport phenomena in networks of fractures: effective simulations and stochastic analysis, A Parallel Solver for Large Scale DFN Flow Simulations

Uses Software

• Spinterp
• Sparse Grid Interpolation
• PATSYM
• HRMSYM

Cites Work

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