双羽状拉格朗日粒子跟踪模型及其在深水溢油中的应用

IF 2.5 3区 工程技术
Xin-wei Ye, Xiao-jing Niu, Jian Jiang
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引用次数: 0

摘要

由于海水的密度分层,分散的小直径油滴和气泡以及溶解的成分可能会留在某些特定的深度。对垂直密度分层环境中气泡羽流的双羽拉格朗日粒子跟踪模型进行了改进,并应用于井喷水下污染物的预测。该模型考虑了原油组分的不同性质和溶解过程,重点研究了它们在羽流中的行为和分层差异。将原油组分划分为几类,并考虑了油气的溶解作用。该模型应用于2010年墨西哥湾“深水地平线”漏油事故的模拟。结果表明,不同深度下存在多个油气富集层,各组分浓度存在差异,与现场观测中石油污染物的分布相对应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Double-plume Lagrangian particle tracking model and its application in deep water oil spill

Due to the density stratification of sea water, the dispersed oil droplets and gas bubbles with small diameters, as well as the dissolved components, may remain in some specific depths. The double-plume Lagrangian particle tracking model for bubbly plumes in vertical density stratified environments is improved and applied to predict the underwater pollutants in a blowout. This model considers the different properties and dissolution processes of components in crude oil and focuses on their behavior and stratification differences in the plume. The crude oil components are divided into several groups and the dissolution of oil and gas is also considered. The model is applied to simulate the “Deepwater Horizon” oil spill accident in the Gulf of Mexico in 2010. The results show several enrichment layers of oil and gas at different depth and the differences in concentration between components, which corresponds to the distribution of petroleum pollutants in the in-situ observation.

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来源期刊
自引率
12.00%
发文量
2374
审稿时长
4.6 months
期刊介绍: Journal of Hydrodynamics is devoted to the publication of original theoretical, computational and experimental contributions to the all aspects of hydrodynamics. It covers advances in the naval architecture and ocean engineering, marine and ocean engineering, environmental engineering, water conservancy and hydropower engineering, energy exploration, chemical engineering, biological and biomedical engineering etc.
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