Enhanced Permeability Estimation in Microporous Rocks Using a Hybrid Macropore-Darcy Approach Article Swipe
Dmytro Petrovskyy
,
Julien Maes
,
Hannah Menke
,
Muhammad Ali
,
A. H. Mazeli
,
M.Z. Kashim
,
Zainol Affendi Abu Bakar
,
Kamaljit Singh
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2504.02550
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2504.02550
This study presents a novel workflow for constructing hybrid macropore-Darcy models from micro-CT images of microporous rocks. In our approach, macropore networks are extracted using established methods, while the microporosity is characterised through segmented phase classification and incorporated into the model as Darcy cells. Effectively, Darcy cells capture the micro scale connectivity variations that are missing in the macroscopic networks. This dual entity model thus incorporates both the conventional macroscopic pore structure and the critical flow pathways present in the under-resolved microporous regions. The proposed workflow is rigorously validated by comparing the permeability estimates with direct numerical simulation (DNS) results and experimental measurements. Our findings demonstrate that this hybrid approach reliably reproduces fluid flow behaviour in complex porous media while significantly reducing computational demands, offering a promising tool for advanced groundwater modelling and water resource management.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2504.02550
- https://arxiv.org/pdf/2504.02550
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4410312400
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4410312400Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2504.02550Digital Object Identifier
- Title
-
Enhanced Permeability Estimation in Microporous Rocks Using a Hybrid Macropore-Darcy ApproachWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-04-03Full publication date if available
- Authors
-
Dmytro Petrovskyy, Julien Maes, Hannah Menke, Muhammad Ali, A. H. Mazeli, M.Z. Kashim, Zainol Affendi Abu Bakar, Kamaljit SinghList of authors in order
- Landing page
-
https://arxiv.org/abs/2504.02550Publisher landing page
- PDF URL
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https://arxiv.org/pdf/2504.02550Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2504.02550Direct OA link when available
- Concepts
-
Macropore, Microporous material, Permeability (electromagnetism), Soil science, Geology, Porosity, Mineralogy, Geotechnical engineering, Materials science, Composite material, Chemistry, Catalysis, Biochemistry, Membrane, Mesoporous materialTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.variations | 52 |
| abstract_inverted_index.demonstrate | 105 |
| abstract_inverted_index.established | 25 |
| abstract_inverted_index.groundwater | 130 |
| abstract_inverted_index.macroscopic | 58, 69 |
| abstract_inverted_index.management. | 135 |
| abstract_inverted_index.microporous | 15, 81 |
| abstract_inverted_index.Effectively, | 44 |
| abstract_inverted_index.connectivity | 51 |
| abstract_inverted_index.constructing | 7 |
| abstract_inverted_index.conventional | 68 |
| abstract_inverted_index.experimental | 101 |
| abstract_inverted_index.incorporated | 37 |
| abstract_inverted_index.incorporates | 65 |
| abstract_inverted_index.permeability | 92 |
| abstract_inverted_index.characterised | 31 |
| abstract_inverted_index.computational | 122 |
| abstract_inverted_index.measurements. | 102 |
| abstract_inverted_index.microporosity | 29 |
| abstract_inverted_index.significantly | 120 |
| abstract_inverted_index.classification | 35 |
| abstract_inverted_index.under-resolved | 80 |
| abstract_inverted_index.macropore-Darcy | 9 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 8 |
| citation_normalized_percentile |