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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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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. |
format | Online Article Text |
id | pubmed-6231035 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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