Prediction of Oil Spill Occurrence Probabilities in the Alaskan Beaufort and Chukchi Seas OCS

F. Bercha, R. Prentki, C. Smith
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Abstract

Probabilistic estimates of oil spill occurrences are used in the development of environment impact assessments for possible future developments in the US Chukchi and Beaufort Seas. Due to the embryonic state of offshore oil development in this region, it was not possible to base these oil spill probability estimates on empirical data. Rather, statistically significant non-Arctic empirical data from the US Gulf of Mexico and world-wide sources, together with their variance, were used as a starting point. Next, both the historical non-Arctic frequency distributions and spill causal distributions were modified to reflect specific effects of the Arctic setting, and the resultant fault tree model was evaluated using Monte Carlo simulation to adequately characterize uncertainties treated as probability distribution inputs to the fault tree. This paper summarizes the methodology and gives results of its application to the estimation of oil spill probabilities and their characteristics for the Chukchi and Beaufort Seas region for typical future offshore development scenarios.
阿拉斯加波弗特海和楚科奇海OCS溢油发生概率预测
对美国楚科奇海和波弗特海未来可能的发展进行环境影响评估时,使用了溢油事件的概率估计。由于该地区海上石油开发处于萌芽状态,这些溢油概率估计不可能基于经验数据。相反,来自美国墨西哥湾和世界范围的非北极地区的统计显著经验数据及其方差被用作起点。接下来,修改历史非北极频率分布和泄漏因果分布,以反映北极环境的具体影响,并使用蒙特卡罗模拟评估所得到的故障树模型,以充分表征作为故障树概率分布输入的不确定性。本文总结了该方法,并给出了其在楚科奇海和波弗特海地区典型未来海上开发情景中溢油概率及其特征估计中的应用结果。
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