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Input and benchmarking data for flow simulations in discrete fracture networks

This article reports and describes the data related to the paper “Conforming, non-conforming and non-matching discretization couplings in discrete fracture network simulations” (Fumagalli et al., 2019). The data provided include a set of geometrical input data of Discrete Fracture Networks (DFNs) an...

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Detalles Bibliográficos
Autores principales: Fumagalli, Alessio, Keilegavlen, Eirik, Scialò, Stefano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6231035/
https://www.ncbi.nlm.nih.gov/pubmed/30456226
http://dx.doi.org/10.1016/j.dib.2018.10.088
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author Fumagalli, Alessio
Keilegavlen, Eirik
Scialò, Stefano
author_facet Fumagalli, Alessio
Keilegavlen, Eirik
Scialò, Stefano
author_sort Fumagalli, Alessio
collection PubMed
description This article reports and describes the data related to the paper “Conforming, non-conforming and non-matching discretization couplings in discrete fracture network simulations” (Fumagalli et al., 2019). The data provided include a set of geometrical input data of Discrete Fracture Networks (DFNs) and a set of simulation results. The geometrical data describe the geometry of fracture networks of increasing complexity. These data also include the geometry of a DFN extruded from a real fracture outcrop in Western Norway. Simulation results are obtained using several different numerical schemes and provide convergence history, plots over line and upscaled output quantities related to the various considered geometries.
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spelling pubmed-62310352018-11-19 Input and benchmarking data for flow simulations in discrete fracture networks Fumagalli, Alessio Keilegavlen, Eirik Scialò, Stefano Data Brief Mathematics This article reports and describes the data related to the paper “Conforming, non-conforming and non-matching discretization couplings in discrete fracture network simulations” (Fumagalli et al., 2019). The data provided include a set of geometrical input data of Discrete Fracture Networks (DFNs) and a set of simulation results. The geometrical data describe the geometry of fracture networks of increasing complexity. These data also include the geometry of a DFN extruded from a real fracture outcrop in Western Norway. Simulation results are obtained using several different numerical schemes and provide convergence history, plots over line and upscaled output quantities related to the various considered geometries. Elsevier 2018-10-26 /pmc/articles/PMC6231035/ /pubmed/30456226 http://dx.doi.org/10.1016/j.dib.2018.10.088 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Mathematics
Fumagalli, Alessio
Keilegavlen, Eirik
Scialò, Stefano
Input and benchmarking data for flow simulations in discrete fracture networks
title Input and benchmarking data for flow simulations in discrete fracture networks
title_full Input and benchmarking data for flow simulations in discrete fracture networks
title_fullStr Input and benchmarking data for flow simulations in discrete fracture networks
title_full_unstemmed Input and benchmarking data for flow simulations in discrete fracture networks
title_short Input and benchmarking data for flow simulations in discrete fracture networks
title_sort input and benchmarking data for flow simulations in discrete fracture networks
topic Mathematics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6231035/
https://www.ncbi.nlm.nih.gov/pubmed/30456226
http://dx.doi.org/10.1016/j.dib.2018.10.088
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