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    Statistical Inversion of Absolute Permeability in Single-phase Darcy Flow

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    1-s2.0-S1877050915010996-main.pdf
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    Description:
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    Type
    Conference Paper
    Authors
    Strauss, Thilo
    Fan, Xiaolin cc
    Sun, Shuyu cc
    Khan, Taufiquar
    KAUST Department
    Computational Transport Phenomena Lab
    Earth Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    Date
    2015-06-01
    Online Publication Date
    2015-06-01
    Print Publication Date
    2015
    Permanent link to this record
    http://hdl.handle.net/10754/556696
    
    Metadata
    Show full item record
    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.
    Citation
    Statistical Inversion of Absolute Permeability in Single-phase Darcy Flow 2015, 51:1188 Procedia Computer Science
    Publisher
    Elsevier BV
    Journal
    Procedia Computer Science
    Conference/Event name
    International Conference on Computational Science, ICCS 2002
    DOI
    10.1016/j.procs.2015.05.291
    Additional Links
    http://linkinghub.elsevier.com/retrieve/pii/S1877050915010996
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.procs.2015.05.291
    Scopus Count
    Collections
    Conference Papers; Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program; Computational Transport Phenomena Lab

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