Recovery of transport and geometrical properties of rock by statistical analysis of microtomographic images. / Bazaikin, Y.; Gurevich, B.; Khachkova, T. et al.
78th EAGE Conference and Exhibition 2016: Efficient Use of Technology - Unlocking Potential. European Association of Geoscientists and Engineers, EAGE, 2016. (78th EAGE Conference and Exhibition 2016: Efficient Use of Technology - Unlocking Potential).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
}
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 -
ID: 25776101