scholarly journals Modeling the Consequence of Vinyl Chloride Accidental Release from Tanks in a Petrochemical Plant

Author(s):  
Mohammad Javad JAFARI ◽  
Rahman BAHMANI ◽  
Mostafa POYAKIAN ◽  
Yaser KHORSHIDI BEHZADI ◽  
Soheila KHODAKRIM

Introduction: Each year, many accidents occur in processing industries such as oil, gas, and petrochemicals. Processing industries mostly work with hazardous chemicals and units in high temperature and high-pressure conditions like reactors and storage tanks. The study aimed to model the consequences of a complete tank rapture (explosion and fire) and specify the intensity caused by the events. Materials and methods: The applied method in this study was based on the Quantitative Risk Assessment method. This method is used for risk assessment in chemical, petroleum, gas, and petrochemical processes and transport industries. Initially, the process associated with the monomer vinyl-chloride storage tank was identified. At the next stage, the scenarios and probable hazards were identified and defined and the PHAST Risk 7.11 was run for modeling the consequences. Results: The most dangerous consequences of vinyl-chloride storage tanks include sudden fire and explosion in a complete tank rapture. In a full tank-explosion, the radiation of the explosion wave was once recorded as 79 meters with the death probability of 99 percent. Conclusion: Each explosion or probable rapture in monomer vinyl-chloride tanks may cause terrible consequences. The vinyl-chloride monomer storage process is a high-risk process that is not tolerable. To reduce the risk, the consequence intensity, the consequence probability, and the exposure amount should be reduced. To this end, it is highly recommended to use smaller tanks, modify operational variables (capacity, pressure, temperature, etc.), and reduce the level of exposure in similar projects.

2021 ◽  
Vol 420 ◽  
pp. 129893
Author(s):  
Zijian Liu ◽  
Wende Tian ◽  
Zhe Cui ◽  
Honglong Wei ◽  
Chuankun Li

2006 ◽  
Vol 57 (4) ◽  
pp. 395 ◽  
Author(s):  
Shane P. Griffiths ◽  
David T. Brewer ◽  
Don S. Heales ◽  
David A. Milton ◽  
Ilona C. Stobutzki

Demonstrating ecological sustainability is a challenge for fisheries worldwide, and few methods can quantify fishing impacts on diverse, low value or rare species. The current study employed a widely used ecological risk assessment method and incorporated new data to assess the change in sustainability of species following the introduction of Turtle Excluder Devices (TEDs) in Australia’s Northern Prawn Fishery (NPF). Population recovery ranks changed for 19 of the 56 elasmobranch species after the introduction of TEDs, with nine species showing an increase in sustainability. Unexpectedly, ten species showed a decrease in sustainability. This was due to TEDs successfully excluding large animals from the catch, resulting in a lower mean length at capture, which reduced the recovery ranks for two criteria relying on length data. This falsely indicates that TEDs increase the impact on pre-breeding animals, thus reducing the recovery potential of these species. The results demonstrate that existing attribute-based risk assessment methods may be inadequate for reflecting even the most obvious changes in fishing impacts on bycatch species. Industry and management can benefit greatly from an approach that more accurately estimates absolute risk. The development and requirements of a new quantitative risk assessment method to be developed for the NPF, and applicable to fisheries worldwide, are discussed.


Author(s):  
Gokcen Ogutcu ◽  
Serhat Akin

This study concentrates on risk factors in oil field pipeline systems and covers identification of failure rate and reasons of failure comparison of the failure data, which are collected from oilfield pipeline systems located in South East Turkey. There are many methods and techniques to reduce or eliminate risk factors in pipeline systems. In this study, quantitative risk assessment method, which depends on statistical calculations, was applied. Monte Carlo Simulation was used to assess the risk in the system. This study focuses on identification of relationship between all parameters. History matching frequency, identification of critical factors, probability of density function have been estimated and calculated. The most significant failures are identified as corrosion, third party damage, mechanical failure, operational failure, weather effect and sabotage.


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