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Upscaling the porosity–permeability relationship of a microporous carbonate for Darcy-scale flow with machine learning
The permeability of a pore structure is typically described by stochastic representations of its geometrical attributes (e.g. pore-size distribution, porosity, coordination number). Database-driven numerical solvers for large model domains can only accurately predict large-scale flow behavior when t...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7846807/ https://www.ncbi.nlm.nih.gov/pubmed/33514764 http://dx.doi.org/10.1038/s41598-021-82029-2 |