Arctic and Northern Offshore Oil Spill Probabilities

F. Bercha
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Abstract

Current catastrophic consequences of the Gulf of Mexico blowout have refocused interest on the probabilities of such events in both temperate and northern regions. This paper reviews some of the early studies on oil spill probabilities with emphasis on oil blowouts, and details more recent studies carried out specifically for the Alaskan OCS. Due to the embryonic state of offshore oil development in arctic regions, which has been the case since 1976 to the present, it is not possible to base oil spill probability estimates on empirical data. The early studies relied on a detailed fault tree analysis dealing with the operations as systems without history. More recent studies in northern but not arctic operations use world wide data as a starting point. In the recent and current Alaskan OCS studies, 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.
北极和北部近海石油泄漏的可能性
目前墨西哥湾漏油事件的灾难性后果重新引起了人们对温带和北部地区发生此类事件的可能性的关注。本文回顾了一些关于石油泄漏可能性的早期研究,重点是石油井喷,并详细介绍了最近专门针对阿拉斯加OCS进行的研究。由于北极地区海上石油开发的萌芽状态(1976年至今),不可能根据经验数据估计溢油概率。早期的研究依赖于详细的故障树分析,将操作作为没有历史记录的系统来处理。最近对北部而非北极地区作业的研究使用世界范围的数据作为起点。在最近和当前的阿拉斯加OCS研究中,使用了来自美国墨西哥湾和世界范围的非北极统计显著经验数据及其方差作为起点。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。
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