Statistical Inversion of Absolute Permeability in Single-phase Darcy Flow

Handle URI:
http://hdl.handle.net/10754/556696
Title:
Statistical Inversion of Absolute Permeability in Single-phase Darcy Flow
Authors:
Strauss, Thilo; Fan, Xiaolin; Sun, Shuyu ( 0000-0002-3078-864X ) ; Khan, Taufiquar
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.
KAUST Department:
Physical Sciences and Engineering (PSE) Division
Citation:
Statistical Inversion of Absolute Permeability in Single-phase Darcy Flow 2015, 51:1188 Procedia Computer Science
Journal:
Procedia Computer Science
Issue Date:
1-Jun-2015
DOI:
10.1016/j.procs.2015.05.291
Type:
Article
ISSN:
18770509
Additional Links:
http://linkinghub.elsevier.com/retrieve/pii/S1877050915010996
Appears in Collections:
Articles; Physical Sciences and Engineering (PSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorStrauss, Thiloen
dc.contributor.authorFan, Xiaolinen
dc.contributor.authorSun, Shuyuen
dc.contributor.authorKhan, Taufiquaren
dc.date.accessioned2015-06-10T18:31:56Zen
dc.date.available2015-06-10T18:31:56Zen
dc.date.issued2015-06-01en
dc.identifier.citationStatistical Inversion of Absolute Permeability in Single-phase Darcy Flow 2015, 51:1188 Procedia Computer Scienceen
dc.identifier.issn18770509en
dc.identifier.doi10.1016/j.procs.2015.05.291en
dc.identifier.urihttp://hdl.handle.net/10754/556696en
dc.description.abstractIn 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.en
dc.relation.urlhttp://linkinghub.elsevier.com/retrieve/pii/S1877050915010996en
dc.rightsArchived with thanks to Procedia Computer Science, Under a Creative Commons license http://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectMetropolis-Hastingsen
dc.subjectMarkov chain Monte Carlo methoden
dc.subjectSingle-phase Darcy flowen
dc.subjectStatistical inversionen
dc.titleStatistical Inversion of Absolute Permeability in Single-phase Darcy Flowen
dc.typeArticleen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.identifier.journalProcedia Computer Scienceen
dc.eprint.versionPublisher's Version/PDFen
dc.contributor.institutionDepartment of Mathematical Sciences, Clemson University, Clemson, USAen
kaust.authorSun, Shuyuen
kaust.authorFan, Xiaolinen
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