Risk-Based Domino Effect Analysis for Fire and Explosion Accidents Considering Uncertainty in Processing Facilities

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


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

Author(s):  
Asmund Huser ◽  
Luiz Fernando Oliveira ◽  
Joar Dalheim

An improved procedure for optimization of flammable gas detector systems in process plant modules is presented in the paper. The main features of the new procedure are that it uses a detailed explosion Quantitative Risk Analysis (QRA) model to obtain the risk reducing effects of applying more gas detectors; and it uses detailed transient Computational Fluid Dynamics (CFD) simulations to assess the most effective locations of the gas detectors. This results in a cost optimized solution which gives the minimum fire and explosion risk, at the lowest cost. A field example is included where it is indicated that with the optimal number of gas detectors, the total costs of fire and explosion accidents are reduced by 18% compared to having no gas detection system at all.


Author(s):  
Hefaidh Hadef ◽  
Mébarek Djebabra ◽  
Djamila Boufades ◽  
Yacine Belmazouzi

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

2004 ◽  
Vol 146 (1) ◽  
pp. 49-57 ◽  
Author(s):  
Yoshitomo Inaba ◽  
Tetsuo Nishihara ◽  
Yoshikazu Nitta

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