Numerical Evaluating the Permeability of Rocks Based on Correlation Dependence on Geometry Full article
Conference |
The International Conference on Computational Sciences and its Applications 03-06 Jul 2023 , Athens |
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Source | Computational Science and Its Applications – ICCSA 2023 Workshops
Athens, Greece, July 3–6, 2023, Proceedings Compilation, Springer. 2023. ISBN 9783031371103. |
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Journal |
Lecture Notes in Computer Science
ISSN: 0302-9743 , E-ISSN: 1611-3349 |
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Output data | Year: 2023, Volume: 14106, Pages: 91-102 Pages count : 12 DOI: 10.1007/978-3-031-37111-0_7 | ||||||
Tags | Permeability · numerical estimation · porosity · correlation dependence · scaling · digital rock physics · CT-images | ||||||
Authors |
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Affiliations |
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Funding (2)
1 | Russian Science Foundation | 21-71-20003 |
2 | Institute of Petroleum Geology and Geophysics | FWZZ-2022-0022 |
Abstract:
We present a resource-saving algorithm for numerical evaluation of the absolute permeability of a rock from the sample’s CT-images of huge size, which makes it possible to perform such an assessment using limited computing resources, in particular, personal computers. It is based on a decomposition of the 3D sample image into small representative sub-samples, for which the absolute permeability is estimated based on the numerical solution of the Stokes equation in a static formulation, followed by a creation of the functional dependencies between the permeability and open porosity. After that these dependencies can be extended to the entire original sample or to the full-sized core sample.
Cite:
Lisitsa V.
, Khachkova T.
, Sotnikov O.
, Islamov I.
, Ganiev D.
Numerical Evaluating the Permeability of Rocks Based on Correlation Dependence on Geometry
In compilation Computational Science and Its Applications – ICCSA 2023 Workshops Athens, Greece, July 3–6, 2023, Proceedings. – Springer., 2023. – Т.Part III. – C.91-102. – ISBN 9783031371103. DOI: 10.1007/978-3-031-37111-0_7 Scopus OpenAlex
Numerical Evaluating the Permeability of Rocks Based on Correlation Dependence on Geometry
In compilation Computational Science and Its Applications – ICCSA 2023 Workshops Athens, Greece, July 3–6, 2023, Proceedings. – Springer., 2023. – Т.Part III. – C.91-102. – ISBN 9783031371103. DOI: 10.1007/978-3-031-37111-0_7 Scopus OpenAlex
Dates:
Published print: | Jun 29, 2023 |
Published online: | Jun 29, 2023 |
Identifiers:
Scopus: | 2-s2.0-85165101664 |
OpenAlex: | W4382366420 |
Citing:
Пока нет цитирований