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ARAMIS project: a comprehensive methodology for the identification of reference accident scenarios in process industries
Authors:Delvosalle Christian  Fievez Cécile  Pipart Aurore  Debray Bruno
Affiliation:

aFaculté Polytechnique de Mons, Major Risk Research Centre, 56 rue de l’épargne, 7000 Mons, Belgium

bINERIS, Accidental Risk Division, Parc Technologique ALATA, BP2, 60550 Verneuil-en-Halatte, France

Abstract: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.

Keywords:ARAMIS project  Accident scenarios  Risk analysis  Bow-tie approach  Seveso
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