Upscaling: a review
Abstract
Porous media have properties with heterogeneities on several length scales. It is possible to build digital models of such properties. However these can be so detailed that a computing machine of the same power as that used to build the property model is not able to solve the fluid flow equations using standard discretisation methods—storage is needed for workspace, and the discrete equations have to be solved in a reasonable time. This paper reviews averaging techniques, devised to simulate large scale features of solutions without necessarily solving all the fine scale equations. Copyright © 2002 John Wiley & Sons, Ltd.
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There is no single scientifically adequate framework for upscaling.
“There is no single scientifically adequate framework for upscaling [30][31][32]”
From Artificial intelligence in oil and gas upstream: Trends, challenges, and scenarios for the future (2021) · cites this paper as [31]
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- Authors
- Farmer, C. L.
- Corresponding author
- Farmer, C. L.
- ORCID
- Farmer, C. L.
- Venue
- International Journal for Numerical Methods in Fluids
- Publisher
- Wiley
- Published
- 2002-08-29
- Volume
- 40
- Issue
- 1-2
- Pages
- 63-78
- ISSN
- 0271-2091 (ISSN-L)
- 1097-0363
- OpenAlex
- W2090392691
- Cited by
- 366
- References
- 65
- Citations by year
- 2026: 13 · 2025: 11 · 2024: 12 · 2023: 12 · 2022: 16 · 2021: 21 · 2020: 14 · 2019: 41 · 2018: 9 · 2017: 18 · 2016: 19 · 2015: 25 · 2014: 20 · 2013: 13 · 2012: 12
- FWCI
- 6.14
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal for Numerical Methods in Fluids (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Advanced Mathematical Modeling in Engineering
- Physical Sciences › Engineering › Ocean Engineering › Enhanced Oil Recovery Techniques
- Physical Sciences › Engineering › Computational Mechanics › Advanced Numerical Methods in Computational Mathematics
- Keywords
- upscaling, porous media, multiscale heterogeneity, averaging method, digital rock models, large-scale flow simulation, porous media flow, computational efficiency
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