Uncertainty assessment for inverse problems in high dimensional spaces using particle swarm optimization and model reduction techniques

DOI10.1016/j.mcm.2011.07.009zbMath1235.65037OpenAlexW2090101911MaRDI QIDQ410014

Esperanza García-Gonzalo, Juan Luis Fernández-Martínez, Tapan Mukerji, Zulima Fernández-Muñiz

Publication date: 15 April 2012

Published in: Mathematical and Computer Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.mcm.2011.07.009

zbMATH Keywords

uncertaintyinverse problemsPSOmodel reduction techniques

Mathematics Subject Classification ID

Ill-posedness and regularization problems in numerical linear algebra (65F22) Nonconvex programming, global optimization (90C26)

Uses Software

• SGeMS

Cites Work

• Integrating production data under uncertainty by parallel interacting Markov chains on a reduced dimensional space
• The probability perturbation method: a new look at Bayesian inverse modeling
• The particle swarm optimization algorithm: Convergence analysis and parameter selection
• A note on the Griewank test function
• Principal component analysis.
• Conditional simulation of complex geological structures using multiple-point statistics
• Application of a particle swarm optimization algorithm for determining optimum well location and type
• History matching of approximated lithofacies models under uncertainty
• A study of particle swarm optimization particle trajectories
• Efficient real-time reservoir management using adjoint-based optimal control and model updating

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