Multiscale pore-network reconstruction of a fine-textured heterogeneous soil.

PONTEDEIRO, E. M.; GENUCHTEN, M. Th. van; GODOY, W.; VAZ, C. M. P.; CRESTANA, S.; LIMA, M. C. O.; COUTO, P.; SU, J.; DEPARTMENT OF CIVIL ENGINEERING, FEDERAL UNIVERSITY OF RIO DE JANEIRO; DEPARTMENT OF NUCLEAR ENGINEERING, FEDERAL UNIVERSITY OF RIO DE JANEIRO; DEPARTMENT OF CIVIL ENGINEERING, FEDERAL UNIVERSITY OF RIO DE JANEIRO; CARLOS MANOEL PEDRO VAZ, CNPDIA; SILVIO CRESTANA, CNPDIA; DEPARTMENT OF CIVIL ENGINEERING, FEDERAL UNIVERSITY OF RIO DE JANEIRO; DEPARTMENT OF CIVIL ENGINEERING, FEDERAL UNIVERSITY OF RIO DE JANEIRO; FEDERAL UNIVERSITY OF RIO DE JANEIRO.

Multiscale pore-network reconstruction of a fine-textured heterogeneous soil.

Abstract Digital samples offer many opportunities to study subsurface fluid flow and contaminant transport processes. The pore size distribution of especially fine-textured porous media often covers many orders of magnitude in the length scale, which makes accurate microCT scanning and modeling of the underlying processes difficult. When a single-resolution image is not capable of capturing all relevant details of a sample, one should scan the sample, or selected parts of it, at different resolutions. Combining multiple resolutions into one single sample for subsequent pore-scale modeling is generally not possible due to limitations in computer memory and speed, thus making it necessary to create a simpler sample containing relevant information from the parent networks. We imaged four samples using different resolutions to capture the multiscale heterogeneity of a fine-textured soil and combined them into one overall digital sample based on the original pore networks. The parent networks were characterized using their geometrical properties, correlations between these properties, and connectivity functions describing the network topologies. Our approach creates stochastic networks of arbitrary size with the same flow properties as the parent network. The method, implemented using the PoreStudio pore network model, repeatedly integrates information at two subsequent scales, with the resulting digital sample having the same hydraulic properties as the original samples. The procedure leads to more useful three-dimensional digital models, facilitating basic analyses of underlying pore size distributions. Porosity calculations were compared with direct measurements, while those for the hydraulic conductivity were compared with estimates based on the particle size distribution and nearby field data.

Saved in:

Bibliographic Details
Main Authors:	PONTEDEIRO, E. M., GENUCHTEN, M. Th. van, GODOY, W., VAZ, C. M. P., CRESTANA, S., LIMA, M. C. O., COUTO, P., SU, J.
Other Authors:	DEPARTMENT OF CIVIL ENGINEERING, FEDERAL UNIVERSITY OF RIO DE JANEIRO; DEPARTMENT OF NUCLEAR ENGINEERING, FEDERAL UNIVERSITY OF RIO DE JANEIRO; DEPARTMENT OF CIVIL ENGINEERING, FEDERAL UNIVERSITY OF RIO DE JANEIRO; CARLOS MANOEL PEDRO VAZ, CNPDIA; SILVIO CRESTANA, CNPDIA; DEPARTMENT OF CIVIL ENGINEERING, FEDERAL UNIVERSITY OF RIO DE JANEIRO; DEPARTMENT OF CIVIL ENGINEERING, FEDERAL UNIVERSITY OF RIO DE JANEIRO; FEDERAL UNIVERSITY OF RIO DE JANEIRO.
Format:	Artigo de periódico biblioteca
Language:	eng
Published:	2024-07-01
Subjects:	Fine-textured soil, PoreStudio,
Online Access:	http://www.alice.cnptia.embrapa.br/alice/handle/doc/1165253 https://doi.org/10.1002/vzj2.20354
Tags:	Add Tag No Tags, Be the first to tag this record!

id	dig-alice-doc-1165253
record_format	koha
spelling	dig-alice-doc-11652532024-07-01T13:55:38Z Multiscale pore-network reconstruction of a fine-textured heterogeneous soil. PONTEDEIRO, E. M. GENUCHTEN, M. Th. van GODOY, W. VAZ, C. M. P. CRESTANA, S. LIMA, M. C. O. COUTO, P. SU, J. DEPARTMENT OF CIVIL ENGINEERING, FEDERAL UNIVERSITY OF RIO DE JANEIRO; DEPARTMENT OF NUCLEAR ENGINEERING, FEDERAL UNIVERSITY OF RIO DE JANEIRO; DEPARTMENT OF CIVIL ENGINEERING, FEDERAL UNIVERSITY OF RIO DE JANEIRO; CARLOS MANOEL PEDRO VAZ, CNPDIA; SILVIO CRESTANA, CNPDIA; DEPARTMENT OF CIVIL ENGINEERING, FEDERAL UNIVERSITY OF RIO DE JANEIRO; DEPARTMENT OF CIVIL ENGINEERING, FEDERAL UNIVERSITY OF RIO DE JANEIRO; FEDERAL UNIVERSITY OF RIO DE JANEIRO. Fine-textured soil PoreStudio Abstract Digital samples offer many opportunities to study subsurface fluid flow and contaminant transport processes. The pore size distribution of especially fine-textured porous media often covers many orders of magnitude in the length scale, which makes accurate microCT scanning and modeling of the underlying processes difficult. When a single-resolution image is not capable of capturing all relevant details of a sample, one should scan the sample, or selected parts of it, at different resolutions. Combining multiple resolutions into one single sample for subsequent pore-scale modeling is generally not possible due to limitations in computer memory and speed, thus making it necessary to create a simpler sample containing relevant information from the parent networks. We imaged four samples using different resolutions to capture the multiscale heterogeneity of a fine-textured soil and combined them into one overall digital sample based on the original pore networks. The parent networks were characterized using their geometrical properties, correlations between these properties, and connectivity functions describing the network topologies. Our approach creates stochastic networks of arbitrary size with the same flow properties as the parent network. The method, implemented using the PoreStudio pore network model, repeatedly integrates information at two subsequent scales, with the resulting digital sample having the same hydraulic properties as the original samples. The procedure leads to more useful three-dimensional digital models, facilitating basic analyses of underlying pore size distributions. Porosity calculations were compared with direct measurements, while those for the hydraulic conductivity were compared with estimates based on the particle size distribution and nearby field data. 2024-07-01T13:55:38Z 2024-07-01T13:55:38Z 2024-07-01 2024 Artigo de periódico Vadose Zone Journal, e20354, 2024. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1165253 https://doi.org/10.1002/vzj2.20354 eng openAccess
institution	EMBRAPA
collection	DSpace
country	Brasil
countrycode	BR
component	Bibliográfico
access	En linea
databasecode	dig-alice
tag	biblioteca
region	America del Sur
libraryname	Sistema de bibliotecas de EMBRAPA
language	eng
topic	Fine-textured soil PoreStudio Fine-textured soil PoreStudio
spellingShingle	Fine-textured soil PoreStudio Fine-textured soil PoreStudio PONTEDEIRO, E. M. GENUCHTEN, M. Th. van GODOY, W. VAZ, C. M. P. CRESTANA, S. LIMA, M. C. O. COUTO, P. SU, J. Multiscale pore-network reconstruction of a fine-textured heterogeneous soil.
description	Abstract Digital samples offer many opportunities to study subsurface fluid flow and contaminant transport processes. The pore size distribution of especially fine-textured porous media often covers many orders of magnitude in the length scale, which makes accurate microCT scanning and modeling of the underlying processes difficult. When a single-resolution image is not capable of capturing all relevant details of a sample, one should scan the sample, or selected parts of it, at different resolutions. Combining multiple resolutions into one single sample for subsequent pore-scale modeling is generally not possible due to limitations in computer memory and speed, thus making it necessary to create a simpler sample containing relevant information from the parent networks. We imaged four samples using different resolutions to capture the multiscale heterogeneity of a fine-textured soil and combined them into one overall digital sample based on the original pore networks. The parent networks were characterized using their geometrical properties, correlations between these properties, and connectivity functions describing the network topologies. Our approach creates stochastic networks of arbitrary size with the same flow properties as the parent network. The method, implemented using the PoreStudio pore network model, repeatedly integrates information at two subsequent scales, with the resulting digital sample having the same hydraulic properties as the original samples. The procedure leads to more useful three-dimensional digital models, facilitating basic analyses of underlying pore size distributions. Porosity calculations were compared with direct measurements, while those for the hydraulic conductivity were compared with estimates based on the particle size distribution and nearby field data.
author2	DEPARTMENT OF CIVIL ENGINEERING, FEDERAL UNIVERSITY OF RIO DE JANEIRO; DEPARTMENT OF NUCLEAR ENGINEERING, FEDERAL UNIVERSITY OF RIO DE JANEIRO; DEPARTMENT OF CIVIL ENGINEERING, FEDERAL UNIVERSITY OF RIO DE JANEIRO; CARLOS MANOEL PEDRO VAZ, CNPDIA; SILVIO CRESTANA, CNPDIA; DEPARTMENT OF CIVIL ENGINEERING, FEDERAL UNIVERSITY OF RIO DE JANEIRO; DEPARTMENT OF CIVIL ENGINEERING, FEDERAL UNIVERSITY OF RIO DE JANEIRO; FEDERAL UNIVERSITY OF RIO DE JANEIRO.
author_facet	DEPARTMENT OF CIVIL ENGINEERING, FEDERAL UNIVERSITY OF RIO DE JANEIRO; DEPARTMENT OF NUCLEAR ENGINEERING, FEDERAL UNIVERSITY OF RIO DE JANEIRO; DEPARTMENT OF CIVIL ENGINEERING, FEDERAL UNIVERSITY OF RIO DE JANEIRO; CARLOS MANOEL PEDRO VAZ, CNPDIA; SILVIO CRESTANA, CNPDIA; DEPARTMENT OF CIVIL ENGINEERING, FEDERAL UNIVERSITY OF RIO DE JANEIRO; DEPARTMENT OF CIVIL ENGINEERING, FEDERAL UNIVERSITY OF RIO DE JANEIRO; FEDERAL UNIVERSITY OF RIO DE JANEIRO. PONTEDEIRO, E. M. GENUCHTEN, M. Th. van GODOY, W. VAZ, C. M. P. CRESTANA, S. LIMA, M. C. O. COUTO, P. SU, J.
format	Artigo de periódico
topic_facet	Fine-textured soil PoreStudio
author	PONTEDEIRO, E. M. GENUCHTEN, M. Th. van GODOY, W. VAZ, C. M. P. CRESTANA, S. LIMA, M. C. O. COUTO, P. SU, J.
author_sort	PONTEDEIRO, E. M.
title	Multiscale pore-network reconstruction of a fine-textured heterogeneous soil.
title_short	Multiscale pore-network reconstruction of a fine-textured heterogeneous soil.
title_full	Multiscale pore-network reconstruction of a fine-textured heterogeneous soil.
title_fullStr	Multiscale pore-network reconstruction of a fine-textured heterogeneous soil.
title_full_unstemmed	Multiscale pore-network reconstruction of a fine-textured heterogeneous soil.
title_sort	multiscale pore-network reconstruction of a fine-textured heterogeneous soil.
publishDate	2024-07-01
url	http://www.alice.cnptia.embrapa.br/alice/handle/doc/1165253 https://doi.org/10.1002/vzj2.20354
work_keys_str_mv	AT pontedeiroem multiscaleporenetworkreconstructionofafinetexturedheterogeneoussoil AT genuchtenmthvan multiscaleporenetworkreconstructionofafinetexturedheterogeneoussoil AT godoyw multiscaleporenetworkreconstructionofafinetexturedheterogeneoussoil AT vazcmp multiscaleporenetworkreconstructionofafinetexturedheterogeneoussoil AT crestanas multiscaleporenetworkreconstructionofafinetexturedheterogeneoussoil AT limamco multiscaleporenetworkreconstructionofafinetexturedheterogeneoussoil AT coutop multiscaleporenetworkreconstructionofafinetexturedheterogeneoussoil AT suj multiscaleporenetworkreconstructionofafinetexturedheterogeneoussoil
_version_	1806029719840227328

Multiscale pore-network reconstruction of a fine-textured heterogeneous soil.

Similar Items

Resource Map