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Micro-continuum approach for mineral precipitation
Rates and extents of mineral precipitation in porous media are difficult to predict, in part because laboratory experiments are problematic. It is similarly challenging to implement numerical methods that model this process due to the need to dynamically evolve the interface of solid material. We de...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7876130/ https://www.ncbi.nlm.nih.gov/pubmed/33568693 http://dx.doi.org/10.1038/s41598-021-82807-y |
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author | Yang, Fengchang Stack, Andrew G. Starchenko, Vitalii |
author_facet | Yang, Fengchang Stack, Andrew G. Starchenko, Vitalii |
author_sort | Yang, Fengchang |
collection | PubMed |
description | Rates and extents of mineral precipitation in porous media are difficult to predict, in part because laboratory experiments are problematic. It is similarly challenging to implement numerical methods that model this process due to the need to dynamically evolve the interface of solid material. We developed a multiphase solver that implements a micro-continuum simulation approach based on the Darcy–Brinkman–Stokes equation to study mineral precipitation. We used the volume-of-fluid technique in sharp interface implementation to capture the propagation of the solid mineral surface. Additionally, we utilize an adaptive mesh refinement method to improve the resolution of near interface simulation domain dynamically. The developed solver was validated against both analytical solution and Arbitrary Lagrangian–Eulerian approach to ensure its accuracy on simulating the propagation of the solid interface. The precipitation of barite (BaSO(4)) was chosen as a model system to test the solver using variety of simulation parameters: different geometrical constraints, flow conditions, reaction rate and ion diffusion. The growth of a single barite crystal was simulated to demonstrate the solver’s capability to capture the crystal face specific directional growth. |
format | Online Article Text |
id | pubmed-7876130 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78761302021-02-11 Micro-continuum approach for mineral precipitation Yang, Fengchang Stack, Andrew G. Starchenko, Vitalii Sci Rep Article Rates and extents of mineral precipitation in porous media are difficult to predict, in part because laboratory experiments are problematic. It is similarly challenging to implement numerical methods that model this process due to the need to dynamically evolve the interface of solid material. We developed a multiphase solver that implements a micro-continuum simulation approach based on the Darcy–Brinkman–Stokes equation to study mineral precipitation. We used the volume-of-fluid technique in sharp interface implementation to capture the propagation of the solid mineral surface. Additionally, we utilize an adaptive mesh refinement method to improve the resolution of near interface simulation domain dynamically. The developed solver was validated against both analytical solution and Arbitrary Lagrangian–Eulerian approach to ensure its accuracy on simulating the propagation of the solid interface. The precipitation of barite (BaSO(4)) was chosen as a model system to test the solver using variety of simulation parameters: different geometrical constraints, flow conditions, reaction rate and ion diffusion. The growth of a single barite crystal was simulated to demonstrate the solver’s capability to capture the crystal face specific directional growth. Nature Publishing Group UK 2021-02-10 /pmc/articles/PMC7876130/ /pubmed/33568693 http://dx.doi.org/10.1038/s41598-021-82807-y Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2021 https://creativecommons.org/licenses/by/4.0/ 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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Yang, Fengchang Stack, Andrew G. Starchenko, Vitalii Micro-continuum approach for mineral precipitation |
title | Micro-continuum approach for mineral precipitation |
title_full | Micro-continuum approach for mineral precipitation |
title_fullStr | Micro-continuum approach for mineral precipitation |
title_full_unstemmed | Micro-continuum approach for mineral precipitation |
title_short | Micro-continuum approach for mineral precipitation |
title_sort | micro-continuum approach for mineral precipitation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7876130/ https://www.ncbi.nlm.nih.gov/pubmed/33568693 http://dx.doi.org/10.1038/s41598-021-82807-y |
work_keys_str_mv | AT yangfengchang microcontinuumapproachformineralprecipitation AT stackandrewg microcontinuumapproachformineralprecipitation AT starchenkovitalii microcontinuumapproachformineralprecipitation |