Uncertainty quantification in reservoirs with faults using a sequential approach

DOI10.1007/s10596-020-10021-2zbMath1460.86036OpenAlexW3033141100MaRDI QIDQ2027154

Samuel Estes, Clint N. Dawson

Publication date: 25 May 2021

Published in: Computational Geosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10596-020-10021-2

zbMATH Keywords

inverse problemsMarkov chain Monte Carloreservoir simulationBayesianhistory matching

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Inverse problems in geophysics (86A22) Geostatistics (86A32)

Uses Software

• Gmsh
• Matlab
• FEniCS
• SciPy
• Statsmodels

Cites Work

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• A model for conductive faults with non-matching grids
• Automated solution of differential equations by the finite element method. The FEniCS book
• A reduced fracture model for two-phase flow with different rock types
• Recent progress on reservoir history matching: a review
• Efficient MCMC for climate model parameter estimation: parallel adaptive chains and early rejection
• A Reduced Model for Flow and Transport in Fractured Porous Media with Non-matching Grids
• Inverse problems: A Bayesian perspective
• Asymptotic and numerical modelling of flows in fractured porous media
• Gmsh: A 3-D finite element mesh generator with built-in pre- and post-processing facilities
• Computational Methods for Multiphase Flows in Porous Media
• Modeling Fractures and Barriers as Interfaces for Flow in Porous Media
• An Introduction to Reservoir Simulation Using MATLAB/GNU Octave

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