Anisotropic scaling of Berea sandstone log air permeability statistics

Monica Riva, Shlomo P Neuman, Alberto Guadagnini, Martina Siena

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

Minipermeameter Berea sandstone data and their increments are found to be consistent with sub-Gaussian random fields subordinated to truncated fractional Gaussian noise. Their statistics and scaling behavior are shown to depend on direction. We analyze directional dependence and scaling of air log permeability statistics characterizing minipermeameter measurements by Tidwell and Wilson on the faces of a 30 by 30 by 30 cm3 size unsaturated block of Berea sandstone. We find distinct differences between the statistics and scaling behaviors of data measured on faces parallel and normal to bedding, and of incremental measurements in three orthogonal directions along these faces. Whereas the distribution of data and their increments parallel to bedding are heavy tailed, those of increments normal to bedding are Gaussian. Order q sample structure functions of increments parallel to bedding scale as powers ξ(q) of directional lag, sd, over limited ranges of sd. Using moment and extended self-similarity methods of analysis we find ξ(q) to be generally nonlinear in q, tending to be concave in q on faces normal to bedding and convex on faces parallel to bedding. Whereas the literature attributes nonlinear scaling of ξ(q) with q to multifractals or fractional Laplace motions, we find the data to be consistent with sub-Gaussian random fields subordinated to truncated (monofractal, self-affine) fractional Gaussian noise. The increments exhibit negative statistical dependence (antipersistence) that varies with direction parallel to bedding and is more pronounced on faces parallel than normal to bedding.

Original languageEnglish (US)
JournalVadose Zone Journal
Volume12
Issue number3
DOIs
StatePublished - Aug 2013

Fingerprint

air permeability
sandstone
permeability
statistics
air

ASJC Scopus subject areas

  • Soil Science

Cite this

Anisotropic scaling of Berea sandstone log air permeability statistics. / Riva, Monica; Neuman, Shlomo P; Guadagnini, Alberto; Siena, Martina.

In: Vadose Zone Journal, Vol. 12, No. 3, 08.2013.

Research output: Contribution to journalArticle

Riva, Monica ; Neuman, Shlomo P ; Guadagnini, Alberto ; Siena, Martina. / Anisotropic scaling of Berea sandstone log air permeability statistics. In: Vadose Zone Journal. 2013 ; Vol. 12, No. 3.
@article{6f0ebb9bd9344c94a833eea03bbf6eb5,
title = "Anisotropic scaling of Berea sandstone log air permeability statistics",
abstract = "Minipermeameter Berea sandstone data and their increments are found to be consistent with sub-Gaussian random fields subordinated to truncated fractional Gaussian noise. Their statistics and scaling behavior are shown to depend on direction. We analyze directional dependence and scaling of air log permeability statistics characterizing minipermeameter measurements by Tidwell and Wilson on the faces of a 30 by 30 by 30 cm3 size unsaturated block of Berea sandstone. We find distinct differences between the statistics and scaling behaviors of data measured on faces parallel and normal to bedding, and of incremental measurements in three orthogonal directions along these faces. Whereas the distribution of data and their increments parallel to bedding are heavy tailed, those of increments normal to bedding are Gaussian. Order q sample structure functions of increments parallel to bedding scale as powers ξ(q) of directional lag, sd, over limited ranges of sd. Using moment and extended self-similarity methods of analysis we find ξ(q) to be generally nonlinear in q, tending to be concave in q on faces normal to bedding and convex on faces parallel to bedding. Whereas the literature attributes nonlinear scaling of ξ(q) with q to multifractals or fractional Laplace motions, we find the data to be consistent with sub-Gaussian random fields subordinated to truncated (monofractal, self-affine) fractional Gaussian noise. The increments exhibit negative statistical dependence (antipersistence) that varies with direction parallel to bedding and is more pronounced on faces parallel than normal to bedding.",
author = "Monica Riva and Neuman, {Shlomo P} and Alberto Guadagnini and Martina Siena",
year = "2013",
month = "8",
doi = "10.2136/vzj2012.0153",
language = "English (US)",
volume = "12",
journal = "Vadose Zone Journal",
issn = "1539-1663",
publisher = "Soil Science Society of America",
number = "3",

}

TY - JOUR

T1 - Anisotropic scaling of Berea sandstone log air permeability statistics

AU - Riva, Monica

AU - Neuman, Shlomo P

AU - Guadagnini, Alberto

AU - Siena, Martina

PY - 2013/8

Y1 - 2013/8

N2 - Minipermeameter Berea sandstone data and their increments are found to be consistent with sub-Gaussian random fields subordinated to truncated fractional Gaussian noise. Their statistics and scaling behavior are shown to depend on direction. We analyze directional dependence and scaling of air log permeability statistics characterizing minipermeameter measurements by Tidwell and Wilson on the faces of a 30 by 30 by 30 cm3 size unsaturated block of Berea sandstone. We find distinct differences between the statistics and scaling behaviors of data measured on faces parallel and normal to bedding, and of incremental measurements in three orthogonal directions along these faces. Whereas the distribution of data and their increments parallel to bedding are heavy tailed, those of increments normal to bedding are Gaussian. Order q sample structure functions of increments parallel to bedding scale as powers ξ(q) of directional lag, sd, over limited ranges of sd. Using moment and extended self-similarity methods of analysis we find ξ(q) to be generally nonlinear in q, tending to be concave in q on faces normal to bedding and convex on faces parallel to bedding. Whereas the literature attributes nonlinear scaling of ξ(q) with q to multifractals or fractional Laplace motions, we find the data to be consistent with sub-Gaussian random fields subordinated to truncated (monofractal, self-affine) fractional Gaussian noise. The increments exhibit negative statistical dependence (antipersistence) that varies with direction parallel to bedding and is more pronounced on faces parallel than normal to bedding.

AB - Minipermeameter Berea sandstone data and their increments are found to be consistent with sub-Gaussian random fields subordinated to truncated fractional Gaussian noise. Their statistics and scaling behavior are shown to depend on direction. We analyze directional dependence and scaling of air log permeability statistics characterizing minipermeameter measurements by Tidwell and Wilson on the faces of a 30 by 30 by 30 cm3 size unsaturated block of Berea sandstone. We find distinct differences between the statistics and scaling behaviors of data measured on faces parallel and normal to bedding, and of incremental measurements in three orthogonal directions along these faces. Whereas the distribution of data and their increments parallel to bedding are heavy tailed, those of increments normal to bedding are Gaussian. Order q sample structure functions of increments parallel to bedding scale as powers ξ(q) of directional lag, sd, over limited ranges of sd. Using moment and extended self-similarity methods of analysis we find ξ(q) to be generally nonlinear in q, tending to be concave in q on faces normal to bedding and convex on faces parallel to bedding. Whereas the literature attributes nonlinear scaling of ξ(q) with q to multifractals or fractional Laplace motions, we find the data to be consistent with sub-Gaussian random fields subordinated to truncated (monofractal, self-affine) fractional Gaussian noise. The increments exhibit negative statistical dependence (antipersistence) that varies with direction parallel to bedding and is more pronounced on faces parallel than normal to bedding.

UR - http://www.scopus.com/inward/record.url?scp=84881579372&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84881579372&partnerID=8YFLogxK

U2 - 10.2136/vzj2012.0153

DO - 10.2136/vzj2012.0153

M3 - Article

AN - SCOPUS:84881579372

VL - 12

JO - Vadose Zone Journal

JF - Vadose Zone Journal

SN - 1539-1663

IS - 3

ER -