Abstract
The purpose of this paper is to analyze risk of accidental gasoline release in the storage tank of gasoline 59-TK-158 situated in complex GL1/K Skikda using quantitative risk assessment based on HAZOP and bow tie to identify and quantify the sources of the unwanted event. Afterward, we identified the areas that are exposed to different industrial accidental effects such as (thermal, flammable and overpressure), using the software Phast as a tool for simulation. The simulation results show the distances of the affected area, to understand the risk consequences related to the affected area of each scenario. Based on this simulation, using the societal risk curves FN to assess the accidental risk inevitably affects people in the surrounding area. This explicitly denotes the relation between the frequency of occurrence and the number of fatalities generated by this accident on a two-dimensional diagram. It aims to find which scenario that is acceptable and which needs more improvement to lower the consequences related to it in a matter of safety. This work was conducted for the first time in GNL Skikda, specifically in a storage tank using a combination between HAZID, bow tie and FN curve. The intention of this combination is to explain deferent industrial phenomenal specially to avoid disasters such as what happened in 2004 and 2005 in the industrial area of Skikda. That is what makes the approach practically more helpful in the use of safety barriers and industrial decision making.
Similar content being viewed by others
Change history
14 February 2020
In the original version of the article, Mounira Rouainia’s last name was spelled wrong. It is correct as shown here. The original article has been updated.
References
J.L. Fuentes-Bargues, M.C. González-Cruz, C. González-Gaya, M.P. Baixauli-Pérez, Risk analysis of a fuel storage terminal using HAZOP and FTA. Int. J. Environ. Res. Public Health 14(7), 705 (2017). https://doi.org/10.3390/ijerph14070705
S.M. Tauseef, T. Abbasi, S.A. Abbasi, Risks of fire and explosion associated with the increasing use of liquefied petroleum gas. J. Fail. Anal. Prev. 10(4), 322–333 (2010). https://doi.org/10.1007/s11668-010-9360-9
O.N. Aneziris, I.A. Papazoglou, M. Konstantinidou, Z. Nivolianitou, Integrated risk assessment for LNG terminals. J. Loss Prev. Process Ind. 28, 23–35 (2014). https://doi.org/10.1016/j.jlp.2013.07.014
L. Ait Ouffroukh, R. Chaib, V. Ion, L. Khochmane, Analysis of risk and the strengthening of the safety technical barriers: application of Skikda (Algeria) oil refining complex. World Eng. 15(1), 99–109 (2018). https://doi.org/10.1108/wje-02-2017-0031
J. Tixier, G. Dusserre, O. Salvi, D. Gaston, Review of 62 risk analysis methodologies of industrial plants. J. Loss Prev. Process Ind. 15(4), 291–303 (2002). https://doi.org/10.1016/s0950-4230(02)00008-6
E. Planas, J. Arnaldos, R.M. Darbra, M. Muñoz, E. Pastor, J.A. Vílchez, Historical evolution of process safety and major-accident hazards prevention in Spain. Contribution of the pioneer Joaquim Casal. J. Loss Prev. Process Ind. 28, 109–117 (2014). https://doi.org/10.1016/j.jlp.2013.04.005
M.C. Embarek, E.A. Hadjadj, Study of methodologies for risk assessment in operational system safety. J. Fail. Anal. Prev. 10(6), 540–544 (2010). https://doi.org/10.1007/s11668-010-9397-9
H.J. Pasman, S. Jung, K. Prem, W.J. Rogers, X. Yang, Is risk analysis a useful tool for improving process safety? J. Loss Prev. Process Ind. 22(6), 769–777 (2009). https://doi.org/10.1016/j.jlp.2009.08.001
H. Zerrouki, A. Tamrabet, Safety and risk analysis of an operational heater using Bayesian network. J. Fail. Anal. Prev. 15(5), 657–661 (2015). https://doi.org/10.1007/s11668-015-9986-8
M. Yazdi, Improving failure mode and effect analysis (FMEA) with consideration of uncertainty handling as an interactive approach. Int. J. Interact Des. Manuf. (2018). https://doi.org/10.1007/s12008-018-0496-2
M. Yazdi, E. Zarei, Uncertainty handling in the safety risk analysis: an integrated approach based on fuzzy fault tree analysis. J. Fail. Anal. Prev. 18(2), 392–404 (2018). https://doi.org/10.1007/s11668-018-0421-9
M. Yazdi, Hybrid probabilistic risk assessment using fuzzy FTA and fuzzy AHP in a process industry. J. Fail. Anal. Prev. 17(4), 756–764 (2017). https://doi.org/10.1007/s11668-017-0305-4
M. Yazdi, The application of bow-tie method in hydrogen sulfide risk management using layer of protection analysis (LOPA). J. Fail. Anal. Prev. 17(2), 291–303 (2017). https://doi.org/10.1007/s11668-017-0247-x
H. Zerrouki, H. Smadi, Bayesian belief network used in the chemical and process industry: a review and application. J. Fail. Anal. Prev. 17(1), 159–165 (2017). https://doi.org/10.1007/s11668-016-0231-x
K. Hafida, C. Rachid, B. Ahmed, Hazard identification and risk analysis for a reinforced concrete rolling mill. World Eng. 14(1), 1–6 (2017). https://doi.org/10.1108/wje-11-2016-0123
P. Moshashaei, S.S. Alizadeh, M.A. Jafarabadi, L. Khazini, Prioritizing the causes of fire and explosion in the external floating roof tanks. J. Fail. Anal. Prev. 18(6), 1587–1600 (2018). https://doi.org/10.1007/s11668-018-0556-8
H. Persson, A. Lönnermark, Tank fires: review of fire incidents 1951–2003: Brandforsk project 513–021 (Sveriges provnings- och forskningsinstitut (SP), Borås, 2004)
F.I. Khan, S.A. Abbasi, Accident hazard index: a multi-attribute method for process industry hazard rating. Process Saf. Environ. Prot. 75(4), 217–224 (1997). https://doi.org/10.1205/095758297529093
F.I. Khan, S.A. Abbasi, Major accidents in process industries and an analysis of causes and consequences. J. Loss Prev. Process Ind. 12(5), 361–378 (1999). https://doi.org/10.1016/s0950-4230(98)00062-x
F.I. Khan, S.A. Abbasi, The world’s worst industrial accident of the 1990s what happened and what might have been: a quantitative study. Process Saf. Prog. 18(3), 135–145 (1999). https://doi.org/10.1002/prs.680180304
Y. Lizhong, Z. Xiaodong, D. Zhihua, F. Weicheng, W. Qing’an, Fire situation and fire characteristic analysis based on fire statistics of China. Fire Saf. J. 37(8), 785–802 (2002)
P. Hudson, Applying the lessons of high risk industries to health care. BMJ Qual. Saf. 12(suppl 1), i7–i12 (2003). https://doi.org/10.1136/qhc.12.suppl_1.i7
H. Ohtani, M. Kobayashi, Statistical analysis of dangerous goods accidents in Japan. Saf. Sci. 43(5–6), 287–297 (2005). https://doi.org/10.1016/j.ssci.2005.06.003
T. Liu, M. Zhong, J. Xing, Industrial accidents: challenges for China’s economic and social development. Saf. Sci. 43(8), 503–522 (2005). https://doi.org/10.1016/j.ssci.2005.08.012
Z. Nivolianitou, M. Konstandinidou, C. Michalis, Statistical analysis of major accidents in petrochemical industry notified to the major accident reporting system (MARS). J. Hazard. Mater. 137(1), 1–7 (2006). https://doi.org/10.1016/j.jhazmat.2004.12.042
M. Konstandinidou, Z. Nivolianitou, N. Markatos, C. Kiranoudis, Statistical analysis of incidents reported in the Greek Petrochemical Industry for the period 1997–2003. J. Hazard. Mater. 135(1), 1–9 (2006). https://doi.org/10.1016/j.jhazmat.2005.10.059
F.K. Sweis, Fires and related incidents in Jordan (1996–2004). Fire Saf. J. 41(5), 370–376 (2006). https://doi.org/10.1016/j.firesaf.2006.02.002
J.I. Chang, C.-C. Lin, A study of storage tank accidents. J. Loss Prev. Process Ind. 19(1), 51–59 (2006). https://doi.org/10.1016/j.jlp.2005.05.015
M. Kalantarnia, F. Khan, K. Hawboldt, Modelling of BP Texas City refinery accident using dynamic risk assessment approach. Process Saf. Environ. Prot. 88(3), 191–199 (2010). https://doi.org/10.1016/j.psep.2010.01.004
S.M. Tauseef, T. Abbasi, S.A. Abbasi, Development of a new chemical process-industry accident database to assist in past accident analysis. J. Loss Prev. Process Ind. 24(4), 426–431 (2011). https://doi.org/10.1016/j.jlp.2011.03.005
H.-D. Zhang, X.-P. Zheng, Characteristics of hazardous chemical accidents in China: a statistical investigation. J. Loss Prev. Process Ind. 25(4), 686–693 (2012). https://doi.org/10.1016/j.jlp.2012.03.001
B. Fabiano, F. Currò, From a survey on accidents in the downstream oil industry to the development of a detailed near-miss reporting system. Process Saf. Environ. Prot. 90(5), 357–367 (2012). https://doi.org/10.1016/j.psep.2012.06.005
C.-W. Cheng, H.-Q. Yao, T.-C. Wu, Applying data mining techniques to analyze the causes of major occupational accidents in the petrochemical industry. J. Loss Prev. Process Ind. 26(6), 1269–1278 (2013). https://doi.org/10.1016/j.jlp.2013.07.002
R.D. Calvo Olivares, S.S. Rivera, J.E. Núñez Mc Leod, Database for accidents and incidents in the biodiesel industry. J. Loss Prev. Process Ind. 29, 245–261 (2014). https://doi.org/10.1016/j.jlp.2014.03.010
A. Ronza, S. Carol, V. Espejo, J.A. Vílchez, J. Arnaldos, A quantitative risk analysis approach to port hydrocarbon logistics. J. Hazard. Mater. 128(1), 10–24 (2006). https://doi.org/10.1016/j.jhazmat.2005.07.032
OREDA: offshore reliability data handbook. OREDA Participants: Distributed by Der Norske Veritas, Høvik, Norway (2002)
GRIF-Workshop|Graphical interface for reliability forecasting. http://grif-workshop.fr/
Groupe de Travail Dépôt de Liquides Inflammables- GTDLI, Modélisation des effets thermiques dus à un feu de nappe d’hydrocarbures liquides, version 01, Septembre 2006
DNVGL.com—Safer Smarter Greener. https://www.dnvgl.com/index.html. https://www.dnvgl.com/#Software. Accessed 16 June 2019
Skikda, Algeria: Climate, global warming, and daylight charts and data. https://www.climate-charts.com/Locations/a/AL60355.html. Accessed 16 June 2019
Skikda climate: average temperature, weather by month, Skikda weather averages—Climate-Data.org. https://en.climate-data.org/africa/algeria/skikda/skikda-3695/. Accessed 16 June 2019
Windfinder.com: Windfinder.com - Wind and weather statistic Skikda Aéroport. https://www.windfinder.com/windstatistics/skikda_aeroport. Accessed 16 June 2019
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
The original version of this article was revised: Mounira Rouainia’s last name was spelled wrong.
Rights and permissions
About this article
Cite this article
Bouafia, A., Bougofa, M., Rouainia, M. et al. Safety Risk Analysis and Accidents Modeling of a Major Gasoline Release in Petrochemical Plant. J Fail. Anal. and Preven. 20, 358–369 (2020). https://doi.org/10.1007/s11668-020-00826-9
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11668-020-00826-9