untitled
<OAI-PMH schemaLocation=http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd> <responseDate>2016-07-04T13:43:26Z</responseDate> <request identifier=oai:HAL:insu-01308060v1 verb=GetRecord metadataPrefix=oai_dc>http://api.archives-ouvertes.fr/oai/hal/</request> <GetRecord> <record> <header> <identifier>oai:HAL:insu-01308060v1</identifier> <datestamp>2016-04-28</datestamp> <setSpec>type:ART</setSpec> <setSpec>subject:sdu</setSpec> <setSpec>collection:INSU</setSpec> <setSpec>collection:CNRS</setSpec> <setSpec>collection:UNIV-AG</setSpec> <setSpec>collection:GR</setSpec> <setSpec>collection:IFP</setSpec> <setSpec>collection:GM</setSpec> <setSpec>collection:UNIV-STRASBG</setSpec> <setSpec>collection:UNIV-RENNES1</setSpec> <setSpec>collection:GR9</setSpec> <setSpec>collection:OSUR</setSpec> <setSpec>collection:AGROPOLIS</setSpec> <setSpec>collection:GIP-BE</setSpec> </header> <metadata><dc> <publisher>HAL CCSD</publisher> <title lang=en>RandomWalk Methods for Modeling Hydrodynamic Transport in Porous and Fractured Media from Pore to Reservoir Scale</title> <creator>Noetinger, Benoit</creator> <creator>Roubinet, Delphine</creator> <creator>RUSSIAN, Anna</creator> <creator>Le Borgne, Tanguy</creator> <creator>Delay, Frédérick</creator> <creator>Dentz, Marco</creator> <creator>Dreuzy, Jean-Raynald de</creator> <creator>Gouze, Philippe</creator> <contributor>IFP Energies Nouvelles (IFPEN) ; IFP Energies Nouvelles</contributor> <contributor>Applied and Environmental Geophysics Group ; University of Lausanne</contributor> <contributor>Géosciences Montpellier ; Université des Antilles et de la Guyane (UAG) - INSU - Université de Montpellier (UM) - Centre National de la Recherche Scientifique (CNRS)</contributor> <contributor>Géosciences Rennes (GR) ; Université de Rennes 1 (UR1) - INSU - Observatoire des Sciences de l'Univers de Rennes (OSUR) - Centre National de la Recherche Scientifique (CNRS)</contributor> <contributor>Laboratoire d'Hydrologie et de Géochimie de Strasbourg (LHyGeS) ; INSU - Université de Strasbourg - ENGEES - Centre National de la Recherche Scientifique (CNRS)</contributor> <contributor>Spanish National Research Council (CSIC)</contributor> <description>International audience</description> <source>ISSN: 0169-3913</source> <source>EISSN: 1573-1634</source> <source>Transport in Porous Media</source> <publisher>Springer Verlag</publisher> <identifier>insu-01308060</identifier> <identifier>https://hal-insu.archives-ouvertes.fr/insu-01308060</identifier> <source>https://hal-insu.archives-ouvertes.fr/insu-01308060</source> <source>Transport in Porous Media, Springer Verlag, 2016, Accepté. <10.1007/s11242-016-0693-z></source> <identifier>DOI : 10.1007/s11242-016-0693-z</identifier> <relation>info:eu-repo/semantics/altIdentifier/doi/10.1007/s11242-016-0693-z</relation> <language>en</language> <subject lang=en>Random walk</subject> <subject lang=en>Random media</subject> <subject lang=en>Fractured media</subject> <subject lang=en>Diffusion</subject> <subject lang=en>Dispersion</subject> <subject lang=en>Upscaling</subject> <subject lang=en>Transfers</subject> <subject lang=en>Multiple porosity</subject> <subject>[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology</subject> <type>info:eu-repo/semantics/article</type> <type>Journal articles</type> <description lang=en>Random walk (RW) methods are recurring Monte Carlo methods used to modelconvective and diffusive transport in complex heterogeneous media. Many applications canbe found, including fluid mechanic, hydrology and chemical reactors modeling. These methodsare easy to implement, very versatile and flexible enough to become appealing for manyapplications because they generally overlook or deeply simplify the building of explicit complexmeshes required by deterministic methods. RWprovides a good physical understandingof the interactions between the space scales of heterogeneities and the transport phenomenaunder consideration. In addition, they can result in efficient upscaling methods, especiallyin the context of flow and transport in fractured media. In the present study, we review theapplications of RW to several situations that cope with diverse spatial scales and differentinsights into upscaling problems. The advantages and downsides of RW are also discussed,thus providing a few avenues for further works and applications.</description> <date>2016</date> </dc> </metadata> </record> </GetRecord> </OAI-PMH>