Artigo Acesso aberto Produção Nacional Revisado por pares

High accuracy capillary network representation in digital rock reveals permeability scaling functions

2021; Nature Portfolio; Volume: 11; Issue: 1 Linguagem: Inglês

10.1038/s41598-021-90090-0

ISSN

2045-2322

Autores

Rodrigo Neumann Barros Ferreira, Mariane Barsi-Andreeta, Éverton Lucas-Oliveira, Hugo Barbalho, Willian Andrighetto Trevizan, Tito José Bonagamba, M. Steiner,

Tópico(s)

NMR spectroscopy and applications

Resumo

Permeability is the key parameter for quantifying fluid flow in porous rocks. Knowledge of the spatial distribution of the connected pore space allows, in principle, to predict the permeability of a rock sample. However, limitations in feature resolution and approximations at microscopic scales have so far precluded systematic upscaling of permeability predictions. Here, we report fluid flow simulations in capillary network representations designed to overcome such limitations. Performed with an unprecedented level of accuracy in geometric approximation at microscale, the pore scale flow simulations predict experimental permeabilities measured at lab scale in the same rock sample without the need for calibration or correction. By applying the method to a broader class of representative geological samples, with permeability values covering two orders of magnitude, we obtain scaling relationships that reveal how mesoscale permeability emerges from microscopic capillary diameter and fluid velocity distributions.

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