Zachry Department of Civil and Environmental Engineering, Texas A&M University, College Station, TX 77843-3136, USA.
Zachry Department of Civil and Environmental Engineering, Texas A&M University, College Station, TX 77843-3136, USA.
Mar Pollut Bull. 2022 Nov;184:114114. doi: 10.1016/j.marpolbul.2022.114114. Epub 2022 Sep 20.
We present an analysis of 2225 simulations of artificial oil well blowouts in nearshore and offshore waters of Newfoundland, Canada. In the simulations, we coupled the VDROP-J and TAMOC models to simulate the fate and transport of oil and gas from the release to the sea surface. Simulations were conducted with and without subsea dispersant injection. We analyzed the simulation database to quantify the mass fraction of oil and gas that surfaces, the mass fraction of released benzene that surfaces, and the horizontal offset to the surfacing zone. These data are also synthesized to yield empirical correlations to predict these output metrics from key input parameters. These correlations are summarized in an excel spreadsheet that allows rapid evaluation of spill dynamics with minimal initial knowledge of spill details. We call this tool an offshore response guidance table, which allows exploration of spill dynamics under diverse spill and response options.
我们对加拿大纽芬兰近海和近岸 2225 次人工油井井喷模拟进行了分析。在模拟中,我们耦合了 VDROP-J 和 TAMOC 模型来模拟从释放到海面的油和气体的命运和传输。模拟分别在有和没有海底分散剂注入的情况下进行。我们分析了模拟数据库,以量化到达海面的油和气体的质量分数、到达海面的释放苯的质量分数,以及到达海面的区域的水平偏移量。这些数据也被综合起来,得出了从关键输入参数预测这些输出指标的经验相关性。这些相关性总结在一个 Excel 电子表格中,允许在对溢油细节的初步了解最少的情况下,快速评估溢油动态。我们称这个工具为海上应急指导表,它允许在不同的溢油和应急选项下探索溢油动态。