TY - GEN

T1 - Recovery of transport and geometrical properties of rock by statistical analysis of microtomographic images

AU - Bazaikin, Y.

AU - Gurevich, B.

AU - Khachkova, T.

AU - Kolyukhin, D. R.

AU - Lebedev, M.

AU - Lisitsa, V. V.

AU - Tcheverda, V. A.

PY - 2016/6

Y1 - 2016/6

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85088758317&partnerID=8YFLogxK

U2 - 10.3997/2214-4609.201601222

DO - 10.3997/2214-4609.201601222

M3 - Conference contribution

AN - SCOPUS:85088758317

T3 - 78th EAGE Conference and Exhibition 2016: Efficient Use of Technology - Unlocking Potential

BT - 78th EAGE Conference and Exhibition 2016

PB - European Association of Geoscientists and Engineers, EAGE

T2 - 78th EAGE Conference and Exhibition 2016: Efficient Use of Technology - Unlocking Potential

Y2 - 30 May 2016 through 2 June 2016

ER -