Comparing the gradual deformation with the probability perturbation method for solving inverse problems

DOI10.1007/S11004-006-9064-6zbMath1128.86003OpenAlexW2040379749MaRDI QIDQ995824

Jef Caers

Publication date: 10 September 2007

Published in: Mathematical Geology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11004-006-9064-6

zbMATH Keywords

inverse problemsgeostatisticsprior model

Mathematics Subject Classification ID

Inverse problems in geophysics (86A22) Geostatistics (86A32)

Related Items (5)

A new differentiable parameterization based on principal component analysis for the low-dimensional representation of complex geological models ⋮ Hybridization of the probability perturbation method with gradient information ⋮ Bayesian model calibration and optimization of surfactant-polymer flooding ⋮ Extended probability perturbation method for calibrating stochastic reservoir models ⋮ Data assimilation and uncertainty assessment for complex geological models using a new PCA-based parameterization

Uses Software

• GSLIB

Cites Work

• Unnamed Item
• The probability perturbation method: a new look at Bayesian inverse modeling
• Experimental assessment of gradual deformation method
• An improved gradual deformation method for reconciling random and gradient searches in stochastic optimizations
• Gradual deformation and iterative calibration of sequential stochastic simulations
• Combining knowledge from diverse sources: An alternative to traditional data independence hypotheses
• Moving averages for Gaussian simulation in two and three dimensions
• Markov models for cross-covariances

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