Accidental Risk Assessment on Atmospheric Distillation Column in Oil Refinery
Please cite this article as: Babaarslan N., Alpbaz M., Cabbar Y., 2014, Accidental risk assessment on atmospheric distillation column in oil refinery, Chemical Engineering Transactions, 36, 475-480 DOI: 10.3303/CET1436080 Accidental Risk Assessment on Atmospheric Distillation Column in Oil Refinery Neslihan Babaarslan, Mustafa Alpbaz, Yavuz Cabbar a Turkish Republic Ministry of Labor and Social Security, Inonu bulvari no:42, 06520 Ankara/Turkey b Ankara University, Chemical Engineering Dept., Engineering Faculty, Dogol st. 06100 Ankara/Turkey c Ankara Chamber of Industry (ASO), Ataturk bulvari no:193, 06680 Ankara/Turkey ncelik@csgb.gov.tr
Testing Strategies of Redundant Safety Instrumented Systems with Dangerous Detected Failures
Proof testings are regularly conducted on safety instrumented systems (SISs) to reveal dangerous undetected (DU) failures so as to reduce process risks. Sometimes, self-diagnostic tests of SISs can find dangerous detected (DD) failures which will be fixed as soon as possible. If such detections of failures also activate further tests for all components in the SIS in order to discover hidden failures, the original functional test strategy will be adjusted. Three following test strategies for redundant SISs including parallel structures are discussed in this paper given that a DD failure has been found, and then models for these strategies are proposed based on Petri nets.
ARAMIS project: a comprehensive methodology for the identification of reference accident scenarios in process industries.
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.