Pages that link to "Item:Q2506723"

The following pages link to Uncertainty quantification for porous media flows (Q2506723):

Displaying 31 items.

• A nonparametric belief propagation method for uncertainty quantification with applications to flow in random porous media (Q340932) (← links)
• Bayesian estimates of parameter variability in the \(k-\varepsilon\) turbulence model (Q348554) (← links)
• An adaptive importance sampling algorithm for Bayesian inversion with multimodal distributions (Q349984) (← links)
• Sources of uncertainty and error in the simulation of flow in porous media (Q539693) (← links)
• A stochastic Galerkin approach to uncertainty quantification in poroelastic media (Q669364) (← links)
• A prefetching technique for prediction of porous media flows (Q723181) (← links)
• Dynamic data integration for structural modeling: Model screening approach using a distance-based model parameterization (Q926011) (← links)
• A distance-based prior model parameterization for constraining solutions of spatial inverse problems (Q934752) (← links)
• An exponential integrator for advection-dominated reactive transport in heterogeneous porous media (Q969463) (← links)
• Numerical analysis of the Burgers' equation in the presence of uncertainty (Q1038071) (← links)
• Uncertainty quantification of two-phase flow problems via measure theory and the generalized multiscale finite element method (Q1702359) (← links)
• Uncertainty quantification in reservoir prediction. I: Model realism in history matching using geological prior definitions (Q1740335) (← links)
• Distributed Gauss-Newton optimization method for history matching problems with multiple best matches (Q1785159) (← links)
• Uncertainty quantification in injection and soil characteristics for Biot's poroelasticity model (Q2008735) (← links)
• An encoder-decoder deep surrogate for reverse time migration in seismic imaging under uncertainty (Q2027200) (← links)
• Reconstruction, optimization, and design of heterogeneous materials and media: basic principles, computational algorithms, and applications (Q2064257) (← links)
• Structure exploiting methods for fast uncertainty quantification in multiphase flow through heterogeneous media (Q2065846) (← links)
• Three-dimensional realizations of flood flow in large-scale rivers using the neural fuzzy-based machine-learning algorithms (Q2084088) (← links)
• A novel approach for subsurface characterization of coupled fluid flow and geomechanical deformation: the case of slightly compressible flows (Q2192844) (← links)
• Multi-physics Markov chain Monte Carlo methods for subsurface flows (Q2228698) (← links)
• Accelerating uncertainty quantification of groundwater flow modelling using a deep neural network proxy (Q2237307) (← links)
• Data-driven uncertainty quantification for predictive flow and transport modeling using support vector machines (Q2321952) (← links)
• Intrusive uncertainty quantification for hyperbolic-elliptic systems governing two-phase flow in heterogeneous porous media (Q2398880) (← links)
• Robust boundary conditions for stochastic incompletely parabolic systems of equations (Q2425264) (← links)
• Recent progress on reservoir history matching: a review (Q2430878) (← links)
• A space-time multiscale method for computing statistical moments in strongly heterogeneous poroelastic media of evolving scales (Q2895006) (← links)
• (Q4629355) (← links)
• A Moment-Matching Method to Study the Variability of Phenomena Described by Partial Differential Equations (Q4641601) (← links)
• High-order numerical solution of viscous Burgers' equation using an extended Cole–Hopf barycentric Gegenbauer integral pseudospectral method (Q5063461) (← links)
• Metropolized Randomized Maximum Likelihood for Improved Sampling from Multimodal Distributions (Q5269863) (← links)
• Direct Assessment of Uncertainty using Stochastic Flow Simulation (Q5271315) (← links)