Upscaling the porosity–permeability relationship of a microporous carbonate for Darcy-scale flow with machine learning

Abstract 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 behavi...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: H. P. Menke, J. Maes, S. Geiger
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
R
Q
Acceso en línea:https://doaj.org/article/0c2de835e3b64b44a545df75d6cf7758
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!