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

Abstract 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 sc...

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Autores principales:	Rodrigo F. Neumann, Mariane Barsi-Andreeta, Everton Lucas-Oliveira, Hugo Barbalho, Willian A. Trevizan, Tito J. Bonagamba, Mathias B. Steiner
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/9b7528eddbbd453681d385b8408e6786
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spelling	oai:doaj.org-article:9b7528eddbbd453681d385b8408e67862021-12-02T17:41:07ZHigh accuracy capillary network representation in digital rock reveals permeability scaling functions10.1038/s41598-021-90090-02045-2322https://doaj.org/article/9b7528eddbbd453681d385b8408e67862021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-90090-0https://doaj.org/toc/2045-2322Abstract 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 pore-scale network representations designed to overcome such limitations. We present a novel capillary network representation with an enhanced level of spatial detail at microscale. We find that the network-based 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.Rodrigo F. NeumannMariane Barsi-AndreetaEverton Lucas-OliveiraHugo BarbalhoWillian A. TrevizanTito J. BonagambaMathias B. SteinerNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Rodrigo F. Neumann Mariane Barsi-Andreeta Everton Lucas-Oliveira Hugo Barbalho Willian A. Trevizan Tito J. Bonagamba Mathias B. Steiner High accuracy capillary network representation in digital rock reveals permeability scaling functions
description	Abstract 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 pore-scale network representations designed to overcome such limitations. We present a novel capillary network representation with an enhanced level of spatial detail at microscale. We find that the network-based 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.
format	article
author	Rodrigo F. Neumann Mariane Barsi-Andreeta Everton Lucas-Oliveira Hugo Barbalho Willian A. Trevizan Tito J. Bonagamba Mathias B. Steiner
author_facet	Rodrigo F. Neumann Mariane Barsi-Andreeta Everton Lucas-Oliveira Hugo Barbalho Willian A. Trevizan Tito J. Bonagamba Mathias B. Steiner
author_sort	Rodrigo F. Neumann
title	High accuracy capillary network representation in digital rock reveals permeability scaling functions
title_short	High accuracy capillary network representation in digital rock reveals permeability scaling functions
title_full	High accuracy capillary network representation in digital rock reveals permeability scaling functions
title_fullStr	High accuracy capillary network representation in digital rock reveals permeability scaling functions
title_full_unstemmed	High accuracy capillary network representation in digital rock reveals permeability scaling functions
title_sort	high accuracy capillary network representation in digital rock reveals permeability scaling functions
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/9b7528eddbbd453681d385b8408e6786
work_keys_str_mv	AT rodrigofneumann highaccuracycapillarynetworkrepresentationindigitalrockrevealspermeabilityscalingfunctions AT marianebarsiandreeta highaccuracycapillarynetworkrepresentationindigitalrockrevealspermeabilityscalingfunctions AT evertonlucasoliveira highaccuracycapillarynetworkrepresentationindigitalrockrevealspermeabilityscalingfunctions AT hugobarbalho highaccuracycapillarynetworkrepresentationindigitalrockrevealspermeabilityscalingfunctions AT willianatrevizan highaccuracycapillarynetworkrepresentationindigitalrockrevealspermeabilityscalingfunctions AT titojbonagamba highaccuracycapillarynetworkrepresentationindigitalrockrevealspermeabilityscalingfunctions AT mathiasbsteiner highaccuracycapillarynetworkrepresentationindigitalrockrevealspermeabilityscalingfunctions
_version_	1718379719494205440

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

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