Recovery of transport and geometrical properties of rock by statistical analysis of microtomographic images

Y. Bazaikin, B. Gurevich, T. Khachkova, D. R. Kolyukhin, M. Lebedev, V. V. Lisitsa, V. A. Tcheverda

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Abstract

We present numerical analysis of four microCT images of a Bentheimer outcrop sandstone sample acquired with different resolution. On the base of statistical analysis we show that the porosity and poretoskeleton distribution can be reliably obtained on samples of about 150 voxels with resolution coarser than 3 micrometers. In contrast, the statistically representative volume to determine complex properties such as permeability, tortuosity, or geometrical properties of the pore space may exceed 500 voxels and cannot be estimated reliably from conventional CT-scans. To overcome this difficulty we apply truncated Gaussian field technique for statistical simulation of images. We show that this technique allows to reproduce images with given porosity, pore-to-skeleton distribution, and permeability. However, geometrical properties of the simulated images do not match those of original CT-scans, and require higher-order statistics.

Original languageEnglish
Title of host publication78th EAGE Conference and Exhibition 2016
Subtitle of host publicationEfficient Use of Technology - Unlocking Potential
PublisherEuropean Association of Geoscientists and Engineers, EAGE
ISBN (Electronic)9789462821859
DOIs
Publication statusPublished - Jun 2016
Externally publishedYes
Event78th EAGE Conference and Exhibition 2016: Efficient Use of Technology - Unlocking Potential - Vienna, Austria
Duration: 30 May 20162 Jun 2016

Publication series

Name78th EAGE Conference and Exhibition 2016: Efficient Use of Technology - Unlocking Potential

Conference

Conference78th EAGE Conference and Exhibition 2016: Efficient Use of Technology - Unlocking Potential
CountryAustria
CityVienna
Period30.05.201602.06.2016

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