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ARAMIS project: A comprehensive methodology for the identification of reference accident scenarios in process industries

机译:ARAMIS项目:识别过程工业中参考事故场景的综合方法

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In the frame of the Accidental Risk Assessment Methodology for Industries (ARAMIS) project, this paper aims at presenting the work carried out in the part of the project devoted to the definition of accident scenarios. This topic is a key-point in risk assessment and serves as basis for the whole risk quantification. The first result of the work is the building of a methodology for the identification of major accident hazards (MIMAH), which is carried out with the development of generic fault and event trees based on a typology of equipment and substances. The term "major accidents" must be understood as the worst accidents likely to occur on the equipment, assuming that no safety systems are installed. A second methodology, called methodology for the identification of reference accident scenarios (MIRAS) takes into account the influence of safety systems on both the frequencies and possible consequences of accidents. This methodology leads to identify more realistic accident scenarios. The reference accident scenarios are chosen with the help of a tool called "risk matrix", crossing the frequency and the consequences of accidents. This paper presents both methodologies and an application on an ethylene oxide storage.
机译:在“工业事故风险评估方法”(ARAMIS)项目的框架中,本文旨在介绍该项目中专门用于事故场景定义的部分所进行的工作。该主题是风险评估的关键点,并且是整个风险量化的基础。这项工作的第一个结果是建立了一种用于识别重大事故危险(MIMAH)的方法,该方法是根据设备和物质的类型开发通用的故障树和事件树来进行的。假设未安装安全系统,则“重大事故”一词必须理解为设备上可能发生的最严重事故。第二种方法称为识别参考事故场景的方法(MIRAS),它考虑了安全系统对事故发生频率和可能后果的影响。这种方法可以确定更现实的事故场景。在称为“风险矩阵”的工具的帮助下,选择参考事故场景,以跨越事故发生的频率和后果。本文介绍了两种方法学以及在环氧乙烷储存中的应用。

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