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Liquid Seepage in Coal Granular-Type Porous Medium

[Image: see text] To investigate liquid seepage process in a coal granular-type porous medium, a new sampling device was designed to obtain coal samples with required porosity. Meanwhile, an approach combining ultra-deep-field microscopy with advanced digital image processing technologies was propos...

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Autores principales: Wang, Kang, Tan, Wei, Zhu, Yukun, Liu, Liyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2020
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7439363/
https://www.ncbi.nlm.nih.gov/pubmed/32832785
http://dx.doi.org/10.1021/acsomega.0c02241
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author Wang, Kang
Tan, Wei
Zhu, Yukun
Liu, Liyan
author_facet Wang, Kang
Tan, Wei
Zhu, Yukun
Liu, Liyan
author_sort Wang, Kang
collection PubMed
description [Image: see text] To investigate liquid seepage process in a coal granular-type porous medium, a new sampling device was designed to obtain coal samples with required porosity. Meanwhile, an approach combining ultra-deep-field microscopy with advanced digital image processing technologies was proposed to rebuild granular-type porous medium models. The liquid seepage process was simulated with CFD, and the effects of head pressure, liquid viscosity, and pore size were studied. The results show that only liquids with head pressures above a critical value can penetrate into coal stacks and the hydraulic conductivity and permeability are positively correlated to the driving head pressure. Liquid viscosity enhances flow deformation, causing more eddy current energy dissipation; the turbulent eddy dissipation caused by acetone, methanol, and ethanol was 700, 1200, and 4700 m(2)/s(3), respectively. Larger pores can strengthen the additional pressure at the front end of the flow, reducing the flow resistance and thus increasing the fluid kinetic energy and seepage velocity.
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spelling pubmed-74393632020-08-21 Liquid Seepage in Coal Granular-Type Porous Medium Wang, Kang Tan, Wei Zhu, Yukun Liu, Liyan ACS Omega [Image: see text] To investigate liquid seepage process in a coal granular-type porous medium, a new sampling device was designed to obtain coal samples with required porosity. Meanwhile, an approach combining ultra-deep-field microscopy with advanced digital image processing technologies was proposed to rebuild granular-type porous medium models. The liquid seepage process was simulated with CFD, and the effects of head pressure, liquid viscosity, and pore size were studied. The results show that only liquids with head pressures above a critical value can penetrate into coal stacks and the hydraulic conductivity and permeability are positively correlated to the driving head pressure. Liquid viscosity enhances flow deformation, causing more eddy current energy dissipation; the turbulent eddy dissipation caused by acetone, methanol, and ethanol was 700, 1200, and 4700 m(2)/s(3), respectively. Larger pores can strengthen the additional pressure at the front end of the flow, reducing the flow resistance and thus increasing the fluid kinetic energy and seepage velocity. American Chemical Society 2020-08-03 /pmc/articles/PMC7439363/ /pubmed/32832785 http://dx.doi.org/10.1021/acsomega.0c02241 Text en Copyright © 2020 American Chemical Society This is an open access article published under an ACS AuthorChoice License (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes.
spellingShingle Wang, Kang
Tan, Wei
Zhu, Yukun
Liu, Liyan
Liquid Seepage in Coal Granular-Type Porous Medium
title Liquid Seepage in Coal Granular-Type Porous Medium
title_full Liquid Seepage in Coal Granular-Type Porous Medium
title_fullStr Liquid Seepage in Coal Granular-Type Porous Medium
title_full_unstemmed Liquid Seepage in Coal Granular-Type Porous Medium
title_short Liquid Seepage in Coal Granular-Type Porous Medium
title_sort liquid seepage in coal granular-type porous medium
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7439363/
https://www.ncbi.nlm.nih.gov/pubmed/32832785
http://dx.doi.org/10.1021/acsomega.0c02241
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