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Risk assessment: What is it worth? Shall we just do away with it, or can it do a better job?

机译:风险评估:什么值得? 我们应该脱离它,还是可以做得更好?

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摘要

Much has been written about the value of risk assessment, in particular the quantified version, QRA, here considered in the context of industrial processing oil, gas, and chemicals. It is plagued by mistrust due in part because estimated uncertainties are generally not included. QRA is done for predictive purpose, to design risk reducing measures, and to base safety decisions on, but many major accidents occur according to scenarios not foreseen in the analysis. Yet, QRA forces us to think. Predicting what can happen under specified conditions is the most elementary step in better safety. So, we must improve the methods and in particular to model sensitive uncertainties and establish confidence limits about our predictions. The present paper will review in short the state of affairs, and it will summarize recent contributions shedding light of what is currently wrong with QRA. The paper will further present for the various aspects and steps to be done in a QRA directions, in which progress is being made and where promising possibilities may appear. The latter are according to the opinion and the scope of the authors, so hopefully there is much more! Anyhow, due to complexities of socio-technical systems a QRA will require more effort, so to keep it practical large scale application of computerization will be a must. And, to improve trust in QRA we must acknowledge variability and quantify the uncertainties as we see them; in addition, there will be hidden uncertainties, which gives reason to think in resilience terms too. (C) 2017 Elsevier Ltd. All rights reserved.
机译:关于风险评估的价值,特别是在工业加工油,天然气和化学品的背景下考虑的风险评估价值,特别是量化版本。由于通常不包括估计的不确定性,因此不包括估计的不确定性困扰。 QRA是为了预测目的而设计,以设计风险降低措施,以及基础安全决策,但根据在分析中未预见的情况发生许多主要事故。然而,QRA迫使我们思考。预测指定条件下会发生什么是更好的安全性最基本的一步。因此,我们必须改进方法,特别是模型敏感的不确定性,并建立关于我们预测的信心限制。本文将简要审查现状,并将总结近QRA目前错误的贡献的贡献。本文将进一步存在于在QRA方向上进行的各个方面和步骤,其中正在进行进度,并且可能出现有望的可能性。后者是根据作者的意见和范围,所以希望有更多的东西!无论如何,由于社会技术系统的复杂性,QRA将需要更多的努力,因此保持它的实际大规模应用计算机化将是必须的。并且,为了提高QRA的信任,我们必须承认变异性并在我们看到它们时量化不确定性;此外,将存在隐藏的不确定性,这导致了思考恢复术语的理由。 (c)2017 Elsevier Ltd.保留所有权利。

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