High accuracy capillary network representation in digital rock reveals permeability scaling functions (2021)
- Authors:
- USP affiliated authors: BONAGAMBA, TITO JOSE - IFSC ; ANDREETA, MARIANE BARSI - IFSC ; OLIVEIRA, ÉVERTON LUCAS DE - IFSC
- Unidade: IFSC
- DOI: 10.1038/s41598-021-90090-0
- Subjects: MATERIAIS; PERMEABILIDADE DE ROCHAS; POROSIDADE DO SOLO; RESSONÂNCIA MAGNÉTICA NUCLEAR
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Scientific Reports
- ISSN: 2045-2322
- Volume/Número/Paginação/Ano: v. 11, p. 11370-1-11370-8, June 2021
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
ABNT
NEUMANN, Rodrigo F. et al. High accuracy capillary network representation in digital rock reveals permeability scaling functions. Scientific Reports, v. 11, p. 11370-1-11370-8, 2021Tradução . . Disponível em: https://doi.org/10.1038/s41598-021-90090-0. Acesso em: 27 dez. 2025. -
APA
Neumann, R. F., Lucas-Oliveira, E., Andreeta, M. B., Barbalho, H., Trevizan, W. A., Bonagamba, T. J., & Steiner, M. B. (2021). High accuracy capillary network representation in digital rock reveals permeability scaling functions. Scientific Reports, 11, 11370-1-11370-8. doi:10.1038/s41598-021-90090-0 -
NLM
Neumann RF, Lucas-Oliveira E, Andreeta MB, Barbalho H, Trevizan WA, Bonagamba TJ, Steiner MB. High accuracy capillary network representation in digital rock reveals permeability scaling functions [Internet]. Scientific Reports. 2021 ; 11 11370-1-11370-8.[citado 2025 dez. 27 ] Available from: https://doi.org/10.1038/s41598-021-90090-0 -
Vancouver
Neumann RF, Lucas-Oliveira E, Andreeta MB, Barbalho H, Trevizan WA, Bonagamba TJ, Steiner MB. High accuracy capillary network representation in digital rock reveals permeability scaling functions [Internet]. Scientific Reports. 2021 ; 11 11370-1-11370-8.[citado 2025 dez. 27 ] Available from: https://doi.org/10.1038/s41598-021-90090-0 - Micro-computed tomography of sandstone rocks: raw, filtered and segmented datasets
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Informações sobre o DOI: 10.1038/s41598-021-90090-0 (Fonte: oaDOI API)
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