Risk Assessment of Fire and Explosion Incident in Anode Baking Furnace and Operational Practices

2019 ◽  
pp. 1269-1274
Author(s):  
Kalpataru Samal ◽  
Suryakanta Nayak ◽  
Pulak Patra
Keyword(s):  
Risk Assessment ◽  
Fire And Explosion ◽  
Operational Practices

Fire and explosion risk assessment for large-scale oil export terminal

2007 ◽  
Vol 20 (4-6) ◽  
pp. 651-658 ◽  
Author(s):  
Yu.N. Shebeko ◽  
I.A. Bolodian ◽  
V.P. Molchanov ◽  
Yu.I. Deshevih ◽  
D.M. Gordienko ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Large Scale ◽  
Oil Export ◽  
Fire And Explosion ◽  
Explosion Risk

Quantitative fire and explosion risk assessment of fuel tanker truck: Preliminary case study at fuel terminal x jakarta

2018 ◽  
Vol 9 (12) ◽  
pp. 434
Author(s):  
Laksita Ri Hastiti ◽  
Fatma Lestari ◽  
Indri Hapsari Susilowati
Keyword(s):  
Risk Assessment ◽  
Fire And Explosion ◽  
Tanker Truck ◽  
Explosion Risk

Risk assessment for fire and explosion accidents of steel oil tanks using improved AHP based on FTA

2015 ◽  
Vol 35 (3) ◽  
pp. 260-269 ◽  
Author(s):  
Miao Zhang ◽  
Wenhua Song ◽  
Zhen Chen ◽  
Ji Wang
Keyword(s):  
Risk Assessment ◽  
Fire And Explosion ◽  
Explosion Accidents ◽  
Oil Tanks

scholarly journals Development of Fire and Explosion Risk Assessment on Coal Reclaim Tunnel Using Monte Carlo Simulation and Risk Matrix Method

2021 ◽  
Author(s):  
Nuhindro Priagung Widodo ◽  
Dimas Agung Permadi ◽  
Ahmad Ihsan ◽  
Ginting Jalu Kusuma
Keyword(s):  
Risk Assessment ◽  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Risk Group ◽  
Distribution Model ◽  
Risk Matrix ◽  
Moderate Risk ◽  
Controllable Factors ◽  
Fire And Explosion ◽  
Explosion Risk

The comprehensive fire and explosion risk assessment has been studied for Coal Reclaim Tunnel (CRT) facility by applying the Monte Carlo simulation method. In this research, the fire and explosion risk of two existing CRT, namely model A and model B, have been assessed. A set of 30 data for each factor has been used to define the statistical distribution model, sourced from historical data, field measurement, and laboratory experiments. Based on the simulation, CRT model A has a 100% extreme risk group, while model B has two risk groups, high risk=81.73% and moderate risk=18.27%, classified as a not acceptable risk. Several preventive actions were set to reduce the probability and severity level as low as reasonably possible, especially for the controllable factors. Furthermore, the probability and severity levels were re-adjusted by the Monte Carlo simulation. The result shows that both the CRT model have been grouped into a 100% moderate-risk group. For optimal prevention against explosion risk, a sensitivity analysis has been carried out to find the most influential factors for the fire and explosion risk in CRT. Through this research, a method for risk matrix assessment related to the fire and explosion in the CRT facility has been developed.

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