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首页> 外文期刊>Marine pollution bulletin >Large-scale basin testing to simulate realistic oil droplet distributions from subsea release of oil and the effect of subsea dispersant injection
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Large-scale basin testing to simulate realistic oil droplet distributions from subsea release of oil and the effect of subsea dispersant injection

机译:大规模盆地测试,以模拟来自石油的海底释放的现实油滴分布及海底分散剂注射的效果

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摘要

Small-scale experiments performed at SINTEF, Norway in 2011-12 led to the development of a modified Weber scaling algorithm. The algorithm predicts initial oil droplet sizes (d(50)) from a subsea oil and gas blowout. It was quickly implemented in a high number of operational oil spill models used to predict fate and effect of subsea oil releases both in academia and in the oil industry.This paper presents experimental data from large-scale experiments generating oil droplet data in a more realistic multi-millimeter size range for a subsea blow-out. This new data shows a very high correlation with predictions from the modified Weber scaling algorithm both for untreated oil and oil treated by dispersant injection.This finding is opposed to earlier studies predicting significantly smaller droplets, using a similar approach for estimating droplet sizes, but with calibration coefficients that we mean are not representative of the turbulence present in such releases.
机译:在挪威的Sintef进行了小型实验,2011-12导致了改进的韦伯缩放算法的开发。该算法预测来自海底油和气体井喷的初始油滴尺寸(D(50))。它以大量的运营石油泄漏模型迅速实施,用于预测学术界和石油工业中的海底石油释放的命运和影响。本文从大型实验中提出了在更现实中产生油滴数据的大规模实验的实验数据海底爆炸的多毫米尺寸范围。这种新数据显示了与分散剂注入处理的未处理油和油的改性韦伯缩放算法的预测非常高的相关性。这种发现与预测预测明显较小的液滴的早期研究,使用类似的方法来估计液滴尺寸,但是我们的意思是校准系数不是这种释放中存在的湍流的代表。

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