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Numerical Modeling of Fluid-Saturated Porous Sample Loading Based on Thermodynamically Compatible System Theory Full article

Conference The 24th International Conference on Computational Science and Its Applications
01-04 Jul 2024 , Hanoi
Source Computational Science and Its Applications – ICCSA 2024 Workshops Hanoi, Vietnam, July 1–4, 2024, Proceedings
Compilation, Springer Nature. Switzerland.2024. 414 c. ISBN 978-3-031-65238-7.
Journal Lecture Notes in Computer Science
ISSN: 0302-9743 , E-ISSN: 1611-3349
Output data Year: 2024, Volume: 14817, Pages: 237–249 Pages count : 12 DOI: 10.1007/978-3-031-65238-7_16
Tags Numerical rock physics · Thermodynamically compatible systems · Poroelasticity · Quasistatic modeling · Finite differences
Authors Novikov Mikhail 1,2 , Lisitsa Vadim 1 , Romenski Evgeniy 2
Affiliations
1 Trofimuk Institute of Petroleum Geology and Geophysics SB RAS, Novosibirsk, 630090, Russia
2 Sobolev Institute of Mathematics SB RAS, Novosibirsk, 630090, Russia

Funding (1)

1 Russian Science Foundation 19-77-20004-П

Abstract: A quasi-static approximation of a thermodynamically compatible system of PDEs is presented to model the loading test for a two-phase (solid-fluid) sample. To numerically solve the resulting PDEs written in terms of displacements, we use a second-order finite-difference scheme on a staggered grid. Numerical results demonstrate the application of the presented approach to estimate seismic attenuation in two-phase media on different scales, involving an effective porosity model of fractured media on the mesoscale or the geometry of a single pore directly at the microscale
Cite: Novikov M. , Lisitsa V. , Romenski E.
Numerical Modeling of Fluid-Saturated Porous Sample Loading Based on Thermodynamically Compatible System Theory
In compilation Computational Science and Its Applications – ICCSA 2024 Workshops Hanoi, Vietnam, July 1–4, 2024, Proceedings. – Springer Nature., 2024. – Т.Part III. – C.237–249. – ISBN 978-3-031-65238-7. DOI: 10.1007/978-3-031-65238-7_16 WOS Scopus OpenAlex
Dates:
Published print: Jul 26, 2024
Published online: Jul 26, 2024
Identifiers:
Web of science: WOS:001294364500016
Scopus: 2-s2.0-85200786090
OpenAlex: W4401000402
Citing: Пока нет цитирований
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