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• W2024134583 abstract "PreviousNext No AccessSEG Technical Program Expanded Abstracts 2004Permeability and relative permeability from digital rocks: Issues on grid resolution and representative elementary volumeAuthors: Youngseuk KeehmTapan MukerjiYoungseuk KeehmStanford Rock Physics Laboratory, Stanford University, Stanford, CA 94305Search for more papers by this author and Tapan MukerjiStanford Rock Physics Laboratory, Stanford University, Stanford, CA 94305Search for more papers by this authorhttps://doi.org/10.1190/1.1845147 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract The Lattice‐Boltzmann (LB) method has been recognized as a very powerful tool for computational fluid dynamics, especially with complex pore structures. Although the LB methods can simulate realistic fluid flow in complex digital pore structure, we cannot predict accurate permeability and relative permeability without good input data — digital rocks. The parameters that make the digital rocks good or bad, is two length scales — grid spacing and the size of digital rock (representative elementary volume). To have fair comparison of these two length scales among many digital rocks with different grain/pore sizes, we first define the characteristic length scale (a) of pore geometry. Absolute permeability and relative permeability shows very similar behaviors with the grid spacing (d). When the grid spacing is reasonably small (d≤a/10), permeability stays within reasonable error range. We also found that permeability is consistently overestimated with the increase of grid spacing. Permeability is reasonable determined when the size the digital rock (L) is greater than 10 autocorrelation lengths (L≥10a). Relative permeability requires bigger digital rocks to be determined accurately. We recommend L≥20a for accurate prediction of relative permeability.Permalink: https://doi.org/10.1190/1.1845147FiguresReferencesRelatedDetailsCited byImproved Prediction of Hydrologic Properties of Heterogeneous Porous Media at Pore-Scale - a Multi-physics Lattice Boltzmann StudySustainable Energy Technologies and Assessments, Vol. 52Comparison of Petrophysical Properties of Porous Rocks Using NMR, Micro-CT, and Fluid Flow Simulations8 December 2021 | Geosciences, Vol. 11, No. 12Simulation and Validation of Porosity and Permeability of Synthetic and Real Rock Models Using Three-Dimensional Printing and Digital Rock Physics16 November 2021 | ACS Omega, Vol. 6, No. 47Permeability upscaling in complex carbonate samples using textures of micro-computed tomography images11 April 2019 | International Journal of Modelling and Simulation, Vol. 40, No. 4Resolution effect on image-based conventional and tight sandstone pore space reconstructions: Origins and strategiesJournal of Hydrology, Vol. 586Resolution Effect: An Error Correction Model for Intrinsic Permeability of Porous Media Estimated from Lattice Boltzmann Method26 March 2020 | Transport in Porous Media, Vol. 132, No. 3The evolution of the Dominga Fe-Cu deposit (northern Chile): Insights from mineral textures and micro-CT analysisOre Geology Reviews, Vol. 119The effect of the digital core image resolution on permeability1 January 2019 | Tyumen State University Herald. Physical and Mathematical Modeling. Oil, Gas, Energy, Vol. 5, No. 4Sensitivity Study on the Impact of Sub-Volume and Image Resolution on the Prediction of Petrophysical Properties Using Micro CT Technology6 March 2017Using digital rocks and simulations of pore-scale multiphysics to characterize a sandstone reservoirMadhumita Sengupta, Mark G. Kittridge, and Jean-Pierre Blangy11 January 2017 | Interpretation, Vol. 5, No. 1A Sensitivity Study of the Effect of Image Resolution on Predicted Petrophysical Properties1 September 2015 | Transport in Porous Media, Vol. 110, No. 1Numerical estimation of carbonate rock properties using multiscale images3 November 2014 | Geophysical Prospecting, Vol. 63, No. 2Numerical computation of elastic properties for porous rocks based on CT-scanned images using direct mapping methodJournal of Petroleum Science and Engineering, Vol. 122Simulated electrical conductivity response of clogging mechanisms for managed aquifer rechargeA. Rowan Cockett and Adam Pidlisecky26 February 2014 | GEOPHYSICS, Vol. 79, No. 2Permeability-porosity transforms from small sandstone fragmentsAyako Kameda, Jack Dvorkin, Youngseuk Keehm, Amos Nur, and William Bosl12 January 2006 | GEOPHYSICS, Vol. 71, No. 1 SEG Technical Program Expanded Abstracts 2004ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2004 Pages: 2586 publication data© 2004 Copyright © 2004 Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 03 Jan 2005 CITATION INFORMATION Youngseuk Keehm and Tapan Mukerji, (2004), Permeability and relative permeability from digital rocks: Issues on grid resolution and representative elementary volume, SEG Technical Program Expanded Abstracts : 1654-1657. https://doi.org/10.1190/1.1845147 Plain-Language Summary PDF DownloadLoading ..." @default.
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