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The effect of pressure variation on droplet size distribution of dispersed oil under simulated deep-water conditions
Droplet size distribution of dispersed oil in deep-water is critical to the transport and biodegradation of spilled oil in deep-sea. Few studies have focused on the effects of pressure on chemically dispersed oil through experiments. This study thus simulated how the crude oil homogenously pre-dispe...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7966848/ https://www.ncbi.nlm.nih.gov/pubmed/33748451 http://dx.doi.org/10.1016/j.heliyon.2021.e06291 |
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author | Song, Xing Jing, Liang Chen, Bing Zhu, Zhiwen Cai, Qinhong Ye, Xudong Zheng, Xiao Hill, Stephen J. Zhang, Baiyu |
author_facet | Song, Xing Jing, Liang Chen, Bing Zhu, Zhiwen Cai, Qinhong Ye, Xudong Zheng, Xiao Hill, Stephen J. Zhang, Baiyu |
author_sort | Song, Xing |
collection | PubMed |
description | Droplet size distribution of dispersed oil in deep-water is critical to the transport and biodegradation of spilled oil in deep-sea. Few studies have focused on the effects of pressure on chemically dispersed oil through experiments. This study thus simulated how the crude oil homogenously pre-dispersed by Corexit 9500A using baffled flasks would behave after being exposed to deep-water conditions. Key factors included dispersant-to-oil ratio (DOR), mixing energy (energy dissipation rate and Kolmogorov microscale), and pressure (up to 150 bar). The variations of pressure were demonstrated to have insignificant effects on the size distribution of pre-dispersed oil. Both the average and medium droplet sizes were correlated negatively with DOR and mixing energy in an established model with a p-value ≤ 0.0011. The log-normal and log-logistic distributions provided a reasonable fit to simulate the droplet size distribution. The two parameters of log-logistic distribution were dependent on DOR and mixing energy with a p-value < 0.005. The results would be valuable to advance the understanding of the behaviours and trajectories of chemically dispersed oil under deep-water conditions. The research helped provide more scientific evidence to improve the understanding of dispersed oil behaviours under high pressure and support deep-sea oil spill research and potential extension of the existing results from shallow water to deep water conditions. |
format | Online Article Text |
id | pubmed-7966848 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-79668482021-03-19 The effect of pressure variation on droplet size distribution of dispersed oil under simulated deep-water conditions Song, Xing Jing, Liang Chen, Bing Zhu, Zhiwen Cai, Qinhong Ye, Xudong Zheng, Xiao Hill, Stephen J. Zhang, Baiyu Heliyon Research Article Droplet size distribution of dispersed oil in deep-water is critical to the transport and biodegradation of spilled oil in deep-sea. Few studies have focused on the effects of pressure on chemically dispersed oil through experiments. This study thus simulated how the crude oil homogenously pre-dispersed by Corexit 9500A using baffled flasks would behave after being exposed to deep-water conditions. Key factors included dispersant-to-oil ratio (DOR), mixing energy (energy dissipation rate and Kolmogorov microscale), and pressure (up to 150 bar). The variations of pressure were demonstrated to have insignificant effects on the size distribution of pre-dispersed oil. Both the average and medium droplet sizes were correlated negatively with DOR and mixing energy in an established model with a p-value ≤ 0.0011. The log-normal and log-logistic distributions provided a reasonable fit to simulate the droplet size distribution. The two parameters of log-logistic distribution were dependent on DOR and mixing energy with a p-value < 0.005. The results would be valuable to advance the understanding of the behaviours and trajectories of chemically dispersed oil under deep-water conditions. The research helped provide more scientific evidence to improve the understanding of dispersed oil behaviours under high pressure and support deep-sea oil spill research and potential extension of the existing results from shallow water to deep water conditions. Elsevier 2021-03-11 /pmc/articles/PMC7966848/ /pubmed/33748451 http://dx.doi.org/10.1016/j.heliyon.2021.e06291 Text en © 2021 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Song, Xing Jing, Liang Chen, Bing Zhu, Zhiwen Cai, Qinhong Ye, Xudong Zheng, Xiao Hill, Stephen J. Zhang, Baiyu The effect of pressure variation on droplet size distribution of dispersed oil under simulated deep-water conditions |
title | The effect of pressure variation on droplet size distribution of dispersed oil under simulated deep-water conditions |
title_full | The effect of pressure variation on droplet size distribution of dispersed oil under simulated deep-water conditions |
title_fullStr | The effect of pressure variation on droplet size distribution of dispersed oil under simulated deep-water conditions |
title_full_unstemmed | The effect of pressure variation on droplet size distribution of dispersed oil under simulated deep-water conditions |
title_short | The effect of pressure variation on droplet size distribution of dispersed oil under simulated deep-water conditions |
title_sort | effect of pressure variation on droplet size distribution of dispersed oil under simulated deep-water conditions |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7966848/ https://www.ncbi.nlm.nih.gov/pubmed/33748451 http://dx.doi.org/10.1016/j.heliyon.2021.e06291 |
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