A Bayesian framework for the validation of models for subsurface flows: synthetic experiments
type: Item
instance of: scholarly article
title: A Bayesian framework for the validation of models for subsurface flows: synthetic experiments
zbMATH Open document ID: 1390.86044
author: Y. Aharonov
published in: Computational Geosciences
publication date: 2018-06-14T00:00:00Z
Mathematics Subject Classification ID: 86A32
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 86A05
Mathematics Subject Classification ID: 65C05
zbMATH DE Number: 6888598
zbMATH Keywords: compositional model
zbMATH Keywords: validation
zbMATH Keywords: rock characterization
zbMATH Keywords: McMC
zbMATH Keywords: CO\(_2\) storage
MaRDI profile type: Publication
full work available at URL: s10596-015-9538-z
OpenAlex ID: W1741426797
cites work: Three-phase immiscible displacement in heterogeneous petroleum reservoirs
cites work: Q5439735
cites work: MCMC methods for functions: modifying old algorithms to make them faster
cites work: Dynamic data driven simulations in stochastic environments
cites work: On the numerical simulation of waterflooding of heterogeneous petroleum reservoirs
cites work: Coarse scale models of two-phase flow in heterogeneous reservoirs: Volume averaged equations and their relationship to existing upscaling techniques
cites work: Preconditioning Markov Chain Monte Carlo Simulations Using Coarse-Scale Models
cites work: Q5480569
cites work: Rapid quantification of uncertainty in permeability and porosity of oil reservoirs for enabling predictive simulation
cites work: Monte Carlo sampling methods using Markov chains and their applications
cites work: New high-resolution central schemes for nonlinear conservation laws and convection-diffusion equations
cites work: Q4131338
cites work: Direct pore-level modeling of incompressible fluid flow in porous media
cites work: Mathematical Structure of Compositional Reservoir Simulation
cites work: Q5657423
DOI: 10.1007/S10596-015-9538-Z
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description: scientific article; zbMATH DE number 6888598