在环境风险评估的背景下实施基于不确定性的风险概念化,强调不确定假设的偏差

IF 1.7 3区 工程技术 Q3 ENGINEERING, CIVIL
Roger Flage
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引用次数: 2

摘要

环境风险评估是挪威石油工业的常规工作。随着油气行业向北移动,向北极地区移动,进入与目前发达地区相比存在不同脆弱性和新风险源的地区,以前的操作经验和分析实践可能变得不那么重要。反映存在的知识的缺乏(即不确定性)和可用知识的强度,然后变得至关重要。在本文中,我们回顾和讨论了长期以来形成这些评估的方法论基础的行业指南,重点是其关于风险和不确定性的基础。我们得出结论,有改进的潜力,并有助于改进指导方针,我们描述了如何实施-在环境风险评估的背景下-一个概念化风险的框架及其描述,这与挪威石油安全局和风险分析协会最近采用的新的基于不确定性的风险观点一致。实施例包括用于评估不确定风险评估假设偏差的方法的描述和示例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementing an uncertainty-based risk conceptualisation in the context of environmental risk assessment, with emphasis on the bias of uncertain assumptions
ABSTRACT Environmental risk assessments are routinely carried out in the Norwegian petroleum industry. As this industry is moving north, towards the Arctic and into areas with differing vulnerabilities and new risk sources compared to the now well-developed areas, previous operational experience and analytical practice may become less relevant. Reflecting the lack of knowledge (i.e. the uncertainty) that exists, and the strength of the available knowledge, then becomes critical. In the present paper, we review and discuss the industry guideline that for a long time has formed the methodological basis for these assessments, focusing on its foundation concerning risk and uncertainty. We conclude that there is a potential for improvement, and to contribute to improving the guideline, we describe how to implement – in the context of environmental risk assessment – a framework for conceptualising risk and its description that is consistent with the new uncertainty-based risk perspective recently adopted by the Petroleum Safety Authority Norway and in the Society for Risk Analysis glossary. The implementation includes a description and exemplification of a method for assessing the bias of uncertain risk assessment assumptions.
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来源期刊
Civil Engineering and Environmental Systems
Civil Engineering and Environmental Systems 工程技术-工程:土木
CiteScore
3.30
自引率
16.70%
发文量
10
审稿时长
>12 weeks
期刊介绍: Civil Engineering and Environmental Systems is devoted to the advancement of systems thinking and systems techniques throughout systems engineering, environmental engineering decision-making, and engineering management. We do this by publishing the practical applications and developments of "hard" and "soft" systems techniques and thinking. Submissions that allow for better analysis of civil engineering and environmental systems might look at: -Civil Engineering optimization -Risk assessment in engineering -Civil engineering decision analysis -System identification in engineering -Civil engineering numerical simulation -Uncertainty modelling in engineering -Qualitative modelling of complex engineering systems
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