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A higher-order finite element reactive transport model for unstructured and fractured grids
This work presents a new reactive transport framework that combines a powerful geochemistry engine with advanced numerical methods for flow and transport in subsurface fractured porous media. Specifically, the PhreeqcRM interface (developed by the USGS) is used to take advantage of a large library o...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7511411/ https://www.ncbi.nlm.nih.gov/pubmed/32968113 http://dx.doi.org/10.1038/s41598-020-72354-3 |
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author | Moortgat, Joachim Li, Mengnan Amooie, Mohammad Amin Zhu, Di |
author_facet | Moortgat, Joachim Li, Mengnan Amooie, Mohammad Amin Zhu, Di |
author_sort | Moortgat, Joachim |
collection | PubMed |
description | This work presents a new reactive transport framework that combines a powerful geochemistry engine with advanced numerical methods for flow and transport in subsurface fractured porous media. Specifically, the PhreeqcRM interface (developed by the USGS) is used to take advantage of a large library of equilibrium and kinetic aqueous and fluid-rock reactions, which has been validated by numerous experiments and benchmark studies. Fluid flow is modeled by the Mixed Hybrid Finite Element (FE) method, which provides smooth velocity fields even in highly heterogenous formations with discrete fractures. A multilinear Discontinuous Galerkin FE method is used to solve the multicomponent transport problem. This method is locally mass conserving and its second order convergence significantly reduces numerical dispersion. In terms of thermodynamics, the aqueous phase is considered as a compressible fluid and its properties are derived from a Cubic Plus Association (CPA) equation of state. The new simulator is validated against several benchmark problems (involving, e.g., Fickian and Nernst-Planck diffusion, isotope fractionation, advection-dispersion transport, and rock-fluid reactions) before demonstrating the expanded capabilities offered by the underlying FE foundation, such as high computational efficiency, parallelizability, low numerical dispersion, unstructured 3D gridding, and discrete fraction modeling. |
format | Online Article Text |
id | pubmed-7511411 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75114112020-09-24 A higher-order finite element reactive transport model for unstructured and fractured grids Moortgat, Joachim Li, Mengnan Amooie, Mohammad Amin Zhu, Di Sci Rep Article This work presents a new reactive transport framework that combines a powerful geochemistry engine with advanced numerical methods for flow and transport in subsurface fractured porous media. Specifically, the PhreeqcRM interface (developed by the USGS) is used to take advantage of a large library of equilibrium and kinetic aqueous and fluid-rock reactions, which has been validated by numerous experiments and benchmark studies. Fluid flow is modeled by the Mixed Hybrid Finite Element (FE) method, which provides smooth velocity fields even in highly heterogenous formations with discrete fractures. A multilinear Discontinuous Galerkin FE method is used to solve the multicomponent transport problem. This method is locally mass conserving and its second order convergence significantly reduces numerical dispersion. In terms of thermodynamics, the aqueous phase is considered as a compressible fluid and its properties are derived from a Cubic Plus Association (CPA) equation of state. The new simulator is validated against several benchmark problems (involving, e.g., Fickian and Nernst-Planck diffusion, isotope fractionation, advection-dispersion transport, and rock-fluid reactions) before demonstrating the expanded capabilities offered by the underlying FE foundation, such as high computational efficiency, parallelizability, low numerical dispersion, unstructured 3D gridding, and discrete fraction modeling. Nature Publishing Group UK 2020-09-23 /pmc/articles/PMC7511411/ /pubmed/32968113 http://dx.doi.org/10.1038/s41598-020-72354-3 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Moortgat, Joachim Li, Mengnan Amooie, Mohammad Amin Zhu, Di A higher-order finite element reactive transport model for unstructured and fractured grids |
title | A higher-order finite element reactive transport model for unstructured and fractured grids |
title_full | A higher-order finite element reactive transport model for unstructured and fractured grids |
title_fullStr | A higher-order finite element reactive transport model for unstructured and fractured grids |
title_full_unstemmed | A higher-order finite element reactive transport model for unstructured and fractured grids |
title_short | A higher-order finite element reactive transport model for unstructured and fractured grids |
title_sort | higher-order finite element reactive transport model for unstructured and fractured grids |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7511411/ https://www.ncbi.nlm.nih.gov/pubmed/32968113 http://dx.doi.org/10.1038/s41598-020-72354-3 |
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