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• W2234301024 abstract "In this paper, we formulate the permeability inverse problem in the Bayesian framework using total variation (TV) and fp (0 < p δ 2) regularization prior. We use the Markov Chain Monte Carlo (MCMC) method for sampling the posterior distribution to solve the ill-posed inverse problem. We present simulations to estimate the distribution for each pixel for the image reconstruction of the absolute permeability." @default.
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• W2234301024 date "2015-01-01" @default.
• W2234301024 modified "2023-10-03" @default.
• W2234301024 title "Statistical Inversion of Absolute Permeability in Single-phase Darcy Flow" @default.
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• W2234301024 doi "https://doi.org/10.1016/j.procs.2015.05.291" @default.
• W2234301024 hasPublicationYear "2015" @default.
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