Domino effect analysis at a gas facility: Application at a storage facility

Author(s):  
Hefaidh Hadef ◽  
Mébarek Djebabra ◽  
Djamila Boufades ◽  
Yacine Belmazouzi
2013 ◽  
Vol 321-324 ◽  
pp. 2456-2459
Author(s):  
Ming Liang Chen ◽  
Zhi Qiang Geng ◽  
Qun Xiong Zhu

The hazard of chemical process equipment consists of two parts: the inherent hazard of process equipment and the hazard from domino effect among equipments. The inherent hazard of equipment depends on the properties of the substance present in the equipment and the specific process conditions. The domino effect is responsibility for many most destructive accidents in the chemical process industry. However, domino effect is either not considered at all or is done with much less rigour than is warranted. A method was proposed to evaluate the hazard of chemical process equipment. The inherent hazard and the hazard from domino effect were considered in the method. The procedure for the domino effect analysis among equipments was presented to evaluate the hazard from the domino effect. The method was implemented in a case study. The results show that it can be used to select the process equipment which should be intensive monitored.


2015 ◽  
Vol 143 ◽  
pp. 19-29 ◽  
Author(s):  
Muhammad Masum Jujuly ◽  
Aziz Rahman ◽  
Salim Ahmed ◽  
Faisal Khan

2013 ◽  
Vol 328 ◽  
pp. 314-317
Author(s):  
Ming Liang Chen ◽  
Zhi Qiang Geng ◽  
Qun Xiong Zhu

The domino effect is responsibility for many most destructive accidents in the chemical process industry. The catastrophic consequences are not only affecting the industrial sites, but also people and environment. However, quantitative methods which take in to account the domino effect are still missing. A model for quantitative assessment of the domino effect is presented. The probabilities of occurrence are obtained by the event trees. The frequencies of different accidents can be obtained by applying the proposed method. The results of the case study show that the domino effect should be taken into account in quantitative risk assessment (QRA).


Risk Analysis ◽  
2012 ◽  
Vol 33 (2) ◽  
pp. 292-306 ◽  
Author(s):  
Nima Khakzad ◽  
Faisal Khan ◽  
Paul Amyotte ◽  
Valerio Cozzani

2018 ◽  
Vol 57 (11) ◽  
pp. 3990-4006 ◽  
Author(s):  
Jie Ji ◽  
Qi Tong ◽  
Faisal Khan ◽  
Mohammad Dadashzadeh ◽  
Rouzbeh Abbassi

2019 ◽  
Vol 60 ◽  
pp. 174-182 ◽  
Author(s):  
Dai Jiang ◽  
Xu-Hai Pan ◽  
Min Hua ◽  
Ahmed Mébarki ◽  
Jun-Cheng Jiang

2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Julio Ariel Dueñas Santana ◽  
Yanelys Cuba Arana ◽  
Mary Carla Barrera González ◽  
Jesús Luis Orozco

The crude oil industry has been developed in recent decades due to the uses of this product, as well as its derivatives. One of the worst consequences phenomena that can occur in the process industry is the called domino effect. The domino effect or cascade effect occurs when an initiating event, such as a pool of fire or a vapor cloud explosion, causes a new number of accidents. Moreover, due to the importance of avoiding this phenomenon, the European Commission considers the domino effect analysis as mandatory for industrial facilities. There are methodologies in the specialized literature focused on quantifying the existing risks in the storage and processing of hydrocarbons. However, there is a tendency to develop new procedures that increase the risk perception of these accidents. In addition, it is necessary to develop a method that allows visualizing clearly and concisely the dangerous potential of fire and explosion accidents for the occurrence of the domino effect. Precisely, this research aims to predict the dangerous potential of fire and explosion accidents for the occurrence of the domino effect. For this purpose, a methodology consisting of three fundamental stages is developed. Finally, hydrocarbon storage and processing area is selected to apply the proposed methodology. Overall, the development of graphs that summarize information and show the dangerous potential regarding the escalation of fire and explosion accidents is vital in risk analysis. For the case study, the effectiveness of the same was demonstrated, since after its realization it was possible to increase the risk awareness of workers, technicians, and managers of the area taken as a case study.


2015 ◽  
Vol 3 (6) ◽  
pp. 481-498
Author(s):  
Jun Wu ◽  
Hui Yang ◽  
Yuan Cheng

AbstractDomino effect is a fairly common phenomenon in process industry accidents, which makes many process industry accidents serious and the consequent losses enhanced. Domino effect of the major accidents in chemical cluster is emphasized. Many researchers have studied domino effect in chemical clusters from different perspectives. In the review, we summarize the research from three aspects: The statistical analysis of domino accidents in chemical process industry, the evaluation of domino accidents and the prevention of domino accidents in chemical clusters by game theory. From the analysis, we can find the characteristic of domino accidents such as the time and the location, the origin and causes of domino accidents. The methods of assessing domino effects such as quantitative risk assessment (QRA), Bayesian networks (BN) and Monte Carlo simulation (MCS) are analyzed. The prevention of domino accidents in chemical clusters using game theory is seldom, and there is still much space for improvement in enterprises’ efforts to prevent risk of domino accidents.


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