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<title lang=en>Random Walk Methods for Modeling Hydrodynamic Transport in Porous and Fractured Media from Pore to Reservoir Scale</title>
<creator>Noetinger, Benoit</creator>
<creator>Roubinet, D, </creator>
<creator>De Dreuzy, J, </creator>
<creator>Russian, Anna, </creator>
<creator>Gouze, Philippe</creator>
<creator>Le Borgne, Tanguy</creator>
<creator>Dentz, M</creator>
<creator>Delay, F</creator>
<contributor>IFP Energies nouvelles (IFPEN)</contributor>
<contributor>Applied and Environmental Geophysics Group ; University of Lausanne</contributor>
<contributor>Géosciences Rennes (GR) ; Université de Rennes 1 (UR1) - Institut national des sciences de l'Univers (INSU - CNRS) - Observatoire des Sciences de l'Univers de Rennes (OSUR) - Centre National de la Recherche Scientifique (CNRS)</contributor>
<contributor>Géosciences Montpellier ; Université des Antilles et de la Guyane (UAG) - Institut national des sciences de l'Univers (INSU - CNRS) - Université de Montpellier (UM) - Centre National de la Recherche Scientifique (CNRS)</contributor>
<contributor>Centro de Investigaciones Biológicas (CSIC) ; Consejo Superior de Investigaciones Científicas [Spain] (CSIC)</contributor>
<contributor>Laboratoire d'Hydrologie et de Géochimie de Strasbourg (LHyGeS) ; École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES) - Institut national des sciences de l'Univers (INSU - CNRS) - Centre National de la Recherche Scientifique (CNRS)</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>hal-01449131</identifier>
<identifier>https://hal.archives-ouvertes.fr/hal-01449131</identifier>
<identifier>https://hal.archives-ouvertes.fr/hal-01449131/document</identifier>
<identifier>https://hal.archives-ouvertes.fr/hal-01449131/file/0025972-02.pdf</identifier>
<source>https://hal.archives-ouvertes.fr/hal-01449131</source>
<source>Transport in Porous Media, Springer Verlag, 2016, 115 (2), pp.345 - 385. 〈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>Dispersion</subject>
<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>Transfers</subject>
<subject lang=en>multiple porosity</subject>
<subject lang=en>Up-scaling</subject>
<subject>[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology</subject>
<subject>[SDU.STU.AG] Sciences of the Universe [physics]/Earth Sciences/Applied geology</subject>
<subject>[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation</subject>
<type>info:eu-repo/semantics/article</type>
<type>Journal articles</type>
<description lang=en>Random walk (RW) or Continuous Time Random Walk (CTRW) are recurring Monte Carlo methods used to model convective and diffusive transport in complex heterogeneous media. Many applications can be found, including fluid mechanic, hydrology, and chemical reactors modeling. These methods are easy to implement, very versatile and flexible enough to become appealing for many applications because they generally overlook of deeply simplify the building of explicit complex meshes required by deterministic methods. RW and CTRW provide a good physical understanding of the interactions between the space scales of het-erogeneities and the transport phenomena under consideration. In addition, they can result in efficient up-scaling methods, especially in context of flow and transport in fractured media. In the present study, we review the applications of RW or CTRW for several situations coping with various spatial scales, and different insights into up-scaling applications. RW and CTRW advantages and downsides are also discussed, thus providing a few avenues for further works and applications.</description>
<date>2016</date>
</dc>
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