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Porous Media Characterization Using Minkowski Functionals: Theories, Applications and Future Directions

dc.contributor.authorArmstrong, Ryan
dc.contributor.authorMcClure, J E
dc.contributor.authorRobins, Vanessa
dc.contributor.authorLiu, Zhishang
dc.contributor.authorArns, Christoph
dc.contributor.authorSchlüter, Steffen
dc.contributor.authorBerg, Steffen
dc.date.accessioned2020-06-25T23:42:43Z
dc.date.issued2019
dc.date.updated2020-01-19T07:36:30Z
dc.description.abstractAn elementary question in porous media research is in regard to the relationship between structure and function. In most fields, the porosity and permeability of porous media are properties of key interest. There is, however, no universal relationship between porosity and permeability since not only does the fraction of void space matter for permeability but also the connectivity of the void fraction. With the evolution of modern day X-ray microcomputed tomography (micro-CT) and advanced computing, it is now possible to visualize porous media at an unprecedented level of detail. Approaches in analyzing micro-CT data of porous structures vary in the literature from phenomenological characterization to network analysis to geometrical and/or topological measurements. This leads to a question about how to consistently characterize porous media in a way that facilitates theoretical developments. In this effort, the Minkowski functionals (MF) emerge from the field of statistical physics where it is evident that many physical processes depend on the geometry and topology of bodies or multiple bodies in 3D space. Herein we review the theoretical basis of the MF, mathematical theorems and methods necessary for porous media characterization, common measurement errors when using micro-CT data and recent findings relating the MF to macroscale porous media properties. This paper is written to provide the basics necessary for porous media characterization and theoretical developments.With the wealth of information generated from 3D imaging of porous media, it is necessary to develop an understanding of the limitations and opportunities in this exciting area of research.en_AU
dc.description.sponsorshipFunding was provided from the Australian Research Council Discovery Grant DP160104995. VR is supported by ARC Future Fellowship FT140100604. An award of computer time was provided by the Department of Energy INCITE program. This research also used resources of the Oak Ridge Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC05-00OR22725.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn0169-3913en_AU
dc.identifier.urihttp://hdl.handle.net/1885/205561
dc.language.isoen_AUen_AU
dc.publisherKluwer Academic Publishersen_AU
dc.relationhttp://purl.org/au-research/grants/arc/DP160104995en_AU
dc.relationhttp://purl.org/au-research/grants/arc/FT140100604en_AU
dc.rights© Springer Nature B.V. 2018en_AU
dc.sourceTransport in Porous Mediaen_AU
dc.titlePorous Media Characterization Using Minkowski Functionals: Theories, Applications and Future Directionsen_AU
dc.typeJournal articleen_AU
local.bibliographicCitation.issue1en_AU
local.bibliographicCitation.lastpage335en_AU
local.bibliographicCitation.startpage305en_AU
local.contributor.affiliationArmstrong, Ryan, The University of New South Walesen_AU
local.contributor.affiliationMcClure, J E, Virginia Techen_AU
local.contributor.affiliationRobins, Vanessa, College of Science, ANUen_AU
local.contributor.affiliationLiu, Zhishang, University of New South Walesen_AU
local.contributor.affiliationArns, Christoph, University of New South Walesen_AU
local.contributor.affiliationSchlüter, Steffen, Helmholtz-Centre for Environmental Research - UFZen_AU
local.contributor.affiliationBerg, Steffen, Shell Global Solutions International B.Ven_AU
local.contributor.authoruidRobins, Vanessa, u9213671en_AU
local.description.embargo2037-12-31
local.description.notesImported from ARIESen_AU
local.identifier.absfor091406 - Petroleum and Reservoir Engineeringen_AU
local.identifier.absfor010299 - Applied Mathematics not elsewhere classifieden_AU
local.identifier.absseo970109 - Expanding Knowledge in Engineeringen_AU
local.identifier.ariespublicationu5786633xPUB956en_AU
local.identifier.citationvolume130en_AU
local.identifier.doi10.1007/s11242-018-1201-4en_AU
local.identifier.scopusID2-s2.0-85057558024
local.publisher.urlhttps://link.springer.comen_AU
local.type.statusPublished Versionen_AU

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