Anisotropy in pore networks analyzed with 2-D autocorrelation (variomaps)

Peter Frykman; Thomas Alexander Rogon

doi:10.1016/0098-3004(93)90002-M

Anisotropy in pore networks analyzed with 2-D autocorrelation (variomaps)

Peter Frykman, Thomas Alexander Rogon

Research output: Contribution to journal › Article › Research › peer-review

13 Citations (Scopus)

Abstract

This paper describes a system for generating variomaps (autocorrelation or variance as a topological map) of binary images. The images are produced from plane sections through porous media. The 2-D autocorrelation function is calculated by Fourier transformation. The resulting map of the autocorrelation illustrates the mean porel size and directionality (anisotropy) in the analyzed section. The method has been tested on porespace combined within simulated grain packs, two types of sandstones, and catalyst material. The software is written in Pascal for PC systems and circumvents the DOS 640K barrier, thus enabling the handling of even large images. Calculation time for a 512 × 512 Fourier transform is less than 2 min on a 33 MHz 486 PC.

Original language	English
Pages (from-to)	887-930
Number of pages	44
Journal	Computers and Geosciences
Volume	19
Issue number	7
DOIs	https://doi.org/10.1016/0098-3004(93)90002-M
Publication status	Published - Aug 1993

Keywords

Anisotropy
Autocorrelation
Berea Sandstone
EMS memory management
Fast Fourier Transform
Image processing

Programme Area

Programme Area 3: Energy Resources

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10.1016/0098-3004(93)90002-M

Cite this

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title = "Anisotropy in pore networks analyzed with 2-D autocorrelation (variomaps)",

abstract = "This paper describes a system for generating variomaps (autocorrelation or variance as a topological map) of binary images. The images are produced from plane sections through porous media. The 2-D autocorrelation function is calculated by Fourier transformation. The resulting map of the autocorrelation illustrates the mean porel size and directionality (anisotropy) in the analyzed section. The method has been tested on porespace combined within simulated grain packs, two types of sandstones, and catalyst material. The software is written in Pascal for PC systems and circumvents the DOS 640K barrier, thus enabling the handling of even large images. Calculation time for a 512 × 512 Fourier transform is less than 2 min on a 33 MHz 486 PC.",

keywords = "Anisotropy, Autocorrelation, Berea Sandstone, EMS memory management, Fast Fourier Transform, Image processing",

author = "Peter Frykman and Rogon, \{Thomas Alexander\}",

year = "1993",

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doi = "10.1016/0098-3004(93)90002-M",

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T1 - Anisotropy in pore networks analyzed with 2-D autocorrelation (variomaps)

AU - Frykman, Peter

AU - Rogon, Thomas Alexander

PY - 1993/8

Y1 - 1993/8

N2 - This paper describes a system for generating variomaps (autocorrelation or variance as a topological map) of binary images. The images are produced from plane sections through porous media. The 2-D autocorrelation function is calculated by Fourier transformation. The resulting map of the autocorrelation illustrates the mean porel size and directionality (anisotropy) in the analyzed section. The method has been tested on porespace combined within simulated grain packs, two types of sandstones, and catalyst material. The software is written in Pascal for PC systems and circumvents the DOS 640K barrier, thus enabling the handling of even large images. Calculation time for a 512 × 512 Fourier transform is less than 2 min on a 33 MHz 486 PC.

AB - This paper describes a system for generating variomaps (autocorrelation or variance as a topological map) of binary images. The images are produced from plane sections through porous media. The 2-D autocorrelation function is calculated by Fourier transformation. The resulting map of the autocorrelation illustrates the mean porel size and directionality (anisotropy) in the analyzed section. The method has been tested on porespace combined within simulated grain packs, two types of sandstones, and catalyst material. The software is written in Pascal for PC systems and circumvents the DOS 640K barrier, thus enabling the handling of even large images. Calculation time for a 512 × 512 Fourier transform is less than 2 min on a 33 MHz 486 PC.

KW - Anisotropy

KW - Autocorrelation

KW - Berea Sandstone

KW - EMS memory management

KW - Fast Fourier Transform

KW - Image processing

UR - https://www.scopus.com/pages/publications/0027335005

U2 - 10.1016/0098-3004(93)90002-M

DO - 10.1016/0098-3004(93)90002-M

M3 - Article

AN - SCOPUS:0027335005

SN - 0098-3004

VL - 19

SP - 887

EP - 930

JO - Computers and Geosciences

JF - Computers and Geosciences

IS - 7

ER -

Anisotropy in pore networks analyzed with 2-D autocorrelation (variomaps)

Abstract

Keywords

Programme Area

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