Linear elastic properties of granular rocks derived from X‐ray‐CT images

Abstract

PreviousNext No AccessSEG Technical Program Expanded Abstracts 2007Linear elastic properties of granular rocks derived from X‐ray‐CT imagesAuthors: Christoph H. ArnsMahyar MadadiAdrian P. SheppardMark A. KnackstedtChristoph H. ArnsAustralian National UniversitySearch for more papers by this author, Mahyar MadadiAustralian National UniversitySearch for more papers by this author, Adrian P. SheppardAustralian National UniversitySearch for more papers by this author, and Mark A. KnackstedtAustralian National UniversitySearch for more papers by this authorhttps://doi.org/10.1190/1.2792823 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract The elastic response of clastics rocks and grain packs is controlled to a large extend by the arrangements of grains and the strength of the contacts between them. For well‐cemented rocks like Fontainebleau sandstone, the elastic moduli of the grains and the contact moduli can be taken as the one of quartz with good agreement to experimental data. In general, and in particular for less well cemented granular rocks, this is not the case, the contact moduli typically being weaker than the surrounding grains. In this study, we utilize microtomographic images and grain‐partitioning techniques to assign grain moduli, and employ effective medium theories based on a relation between Xray‐CT density and porosity to assign contact moduli between grains. We numerical derive the macroscopic effective elastic moduli of several reservoir rocks, and study their sensitivity to variations of contact moduli between grains in a parametric study.Permalink: https://doi.org/10.1190/1.2792823FiguresReferencesRelatedDetailsCited byUpscaling Permeability Using Multiscale X‐Ray‐CT Images With Digital Rock Modeling and Deep Learning Techniques27 February 2023 | Water Resources Research, Vol. 59, No. 3Micromechanics Digital Rock: Parameterization of Consolidation Level using a Grain Contact Model27 January 2023 | E3S Web of Conferences, Vol. 366High‐Precision Tracking of Sandstone Deformation From Micro‐CT Images14 September 2021 | Journal of Geophysical Research: Solid Earth, Vol. 126, No. 9Prediction of rock elastic moduli based on a micromechanical finite element modelComputers and Geotechnics, Vol. 135A solid/fluid substitution scheme constrained by pore-scale numerical simulations6 December 2019 | Geophysical Journal International, Vol. 220, No. 3Rock compressibility from microcomputed tomography images: Controls on digital rock simulationsNishank Saxena, Ronny Hofmann, Amie Hows, Erik H. Saenger, Luca Duranti, Joe Stefani, Andreas Wiegmann, Abdulla Kerimov, and Matthias Kabel27 May 2019 | GEOPHYSICS, Vol. 84, No. 4Impact of the cracks lost in the imaging process on computing linear elastic properties from 3D microtomographic images of Berea sandstoneYang Zhang and M. Nafi Toksöz2 March 2012 | GEOPHYSICS, Vol. 77, No. 2Integrated numerical and laboratory rock physics applied to seismic characterization of reservoir rocksBeatriz Quintal, Marcel Frehner, Claudio Madonna, Nicola Tisato, Maria Kuteynikova, and Erik H. Saenger12 December 2011 | The Leading Edge, Vol. 30, No. 123D Imaging and Simulation of Elastic Properties of Porous MaterialsComputing in Science & Engineering, Vol. 11, No. 4 SEG Technical Program Expanded Abstracts 2007ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2007 Pages: 3124 publication data© 2007 Copyright © 2007 Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 14 Sep 2007 CITATION INFORMATION Christoph H. Arns, Mahyar Madadi, Adrian P. Sheppard, and Mark A. Knackstedt, (2007), "Linear elastic properties of granular rocks derived from X‐ray‐CT images," SEG Technical Program Expanded Abstracts : 1711-1715. https://doi.org/10.1190/1.2792823 Plain-Language Summary PDF DownloadLoading ...