High accuracy capillary network representation in digital rock reveals permeability scaling functions
| Autor: | Tito José Bonagamba, Mariane Barsi-Andreeta, Mathias Steiner, R. F. Neumann, Hugo Barbalho, Willian A. Trevizan, Everton Lucas-Oliveira |
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| Rok vydání: | 2021 |
| Předmět: |
Capillary action
Science 0208 environmental biotechnology Flow (psychology) FOS: Physical sciences 02 engineering and technology Applied Physics (physics.app-ph) 010502 geochemistry & geophysics 01 natural sciences Article Physics::Geophysics Physics - Geophysics Physics::Fluid Dynamics RESSONÂNCIA MAGNÉTICA NUCLEAR Fluid dynamics Porous materials Scaling Microscale chemistry Petrology 0105 earth and related environmental sciences Multidisciplinary Fluid Dynamics (physics.flu-dyn) Scientific data Physics - Applied Physics Physics - Fluid Dynamics Mechanics Computational Physics (physics.comp-ph) Applied mathematics 020801 environmental engineering Geophysics (physics.geo-ph) Applied physics Permeability (earth sciences) Flow velocity Medicine Porous medium Physics - Computational Physics Software Geology |
| Zdroj: | Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual) Universidade de São Paulo (USP) instacron:USP Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021) Scientific Reports |
| Popis: | 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. Comment: Main article: 11 pages and 4 figures. Supplementary Information: 6 pages and 4 figures. Version 2 includes DOI for microCT dataset |
| Databáze: | OpenAIRE |
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