@proceedings {6843,
	title = {Apport des parties prenantes dans l\&rsquo;am{\'e}lioration des indicateurs de performance environnementale },
	journal = {Journ{\'e}e d{\textquoteright}Etude Nationale sur l{\textquoteright}Apport du Triptyque QSE sur la Qualit{\'e} de l{\textquoteright}Environnement, le 24 Avril},
	year = {2018},
	publisher = {Batna, Alg{\'e}rie},
	author = {Khemri, L and L BOUBAKER and Boufligha, M and Bouaziz, S}
}
@proceedings {6842,
	title = {Contribution {\`a} l\&rsquo;{\'e}valuation de la performance environnementale par l\&rsquo;utilisation de la matrice MICMAC : Cas de l\&rsquo;ENTP },
	journal = {Premi{\`e}re Conf{\'e}rence Nationale sur la Protection de l{\textquoteright}Environnement et les Energies Renouvelables [CNPER1-18], le 10 Mai },
	year = {2018},
	address = {Batna,  Alg{\'e}rie},
	author = {Khemri, L and L BOUBAKER}
}
@proceedings {6841,
	title = {R{\^o}le du dialogue social dans la r{\'e}duction des risques et enjeux que repr{\'e}sentent les parties prenantes: Cas d\&rsquo;une entreprise alg{\'e}rienne},
	journal = {2{\`e}me Conf{\'e}rence Internationale sur les Energies Renouvelables et le D{\'e}veloppement Durable (ERDD-2018), 18-22 D{\'e}cembre },
	year = {2018},
	address = {Hammamet, Tunisie},
	author = {Khemri, L and L BOUBAKER and Gora, S}
}
@proceedings {6840,
	title = {Lombalgies et Facteurs Psychosociaux au travail },
	journal = {Workshop : les lombalgies au travail},
	year = {2018},
	address = {Annaba, Alg{\'e}rie},
	author = {Benhassine, Wissal}
}
@proceedings {6839,
	title = {BLEVE thermal effects estimation using ALOHA and TNO method case study LPG Filling Center Batna},
	journal = {1{\`e}re Conf{\'e}rence nationale sur la protection de l{\textquoteright}environnement et les {\'e}nergies renouvelables {\textendash}CNPER{\textquoteright}19-,  10 Mai},
	year = {2018},
	address = {Batna, Alg{\'e}rie},
	author = {Fourar, Youcef Oussama and Benhassine, Wissal}
}
@proceedings {6838,
	title = {Occupational stress assessment of an Algerian petrochemical company},
	journal = {9th International Congress on Occupational Safety and Health at Work, on 7th of May},
	year = {2018},
	address = {Istanbul, Turkey},
	author = {Abdelali Boughaba}
}
@proceedings {6837,
	title = {A Hybrid Approach based on Fault Tree and Bayesian Network for Maintenance and Fault Diagnosis of Safety Instrumented System},
	journal = {e International Conference on Industrial Engineering and Operations Management , July 26-27},
	year = {2018},
	address = { Paris, France},
	abstract = {
	The safety instrumented systems (SISs) are used in the oil and gas industry to detect the onset of hazardous events and/or to mitigate their consequences to humans, assets and environment. A relevant problem concerning these systems is failure diagnosis and maintenance. In this paper, a hybrid approach based on Fault Tree Analysis (FTA) and Bayesian Network (BN) that has been developed to satisfy the requirements of fault diagnosis, repair and maintenance of SIS. The proposed methodology offers significant advantages such as systematical determination of the sequence of fault diagnosis and repair action, especially FTA is used to identify all potential sources of SIS failure and generate a Marginal Importance Factor (MIF) for all basic events. Finally, we add influencing factors by mapping fault tree into equivalent Bayesian Network in order to see the influence of maintenance on the probability of failure on demand (PFD) of SIS.

},
	author = {CHIREMSEL, Zakarya and BOURARECHE, Mouloud and NAIT-SAID, Rachid}
}
@proceedings {6836,
	title = {Toward a reliable decision making on safety barriers performance based on expert judgments in the framework of BORA Approach},
	journal = {International Conference on Industrial Engineering and Operations Management. July 26-27},
	year = {2018},
	address = {Paris, France},
	author = {Bourarache, M and Z CHIREMSEL and R NAIT-SAID and N OUAZRAOUI}
}
@proceedings {6835,
	title = {The Integration of the Two Key Levers for the Success of a Company},
	journal = {1st Conference of the Arabian Journal of Geoscience (CAJG).Paper n{\textdegree} 650},
	year = {2018},
	address = { Tunisia},
	abstract = {
	Most managers know that process-risk mapping is essential in enterprise design so as to obtain better understanding and management practices. Organizations need an effective and robust process of management that is less sensitive to changes in the business environment. The main purpose of this paper is the integration of process mapping and risk mapping, with a case study applied in an Algerian company in the oil and gas industry.

},
	author = {Derradji, Rima and Hamzi, Rachida}
}
@proceedings {6834,
	title = {Contribution of the integrated management system to the organizational alignement of an inddustrial organization},
	journal = {International Seminar in Industrial Engineering and Applied Mathematics (ISIEAM{\textquoteright}2018)},
	year = {2018},
	address = {Skikda , Algeria},
	author = {Djebabra, M{\'e}barek and Boulagouas, Wafa and Chaib, Rachid}
}
@article {5639,
	title = {Simultaneous evaluation of safety integrity\&rsquo;s performance indicators with a generalized implementation of common cause failures},
	journal = {Process Safety and Environmental Protection},
	volume = {2018},
	number = {117(7)},
	year = {2018},
	pages = {214-222},
	abstract = {The average unavailability and the average unconditional failure intensity of safety-instrumented systems represent the main performance indicators of safety integrity. This paper employs an approach based on the exploitation of the availability expression to obtain both performance measures in a simultaneous and straightforward way for any KooN configuration. The implementation of such an approach is generalized to take into account the contribution of common cause failures using any parametric model. The validation of the obtained results is verified through their application using several architectures and using Beta Factor and Binomial Failure Rate models to handle such type of dependent events. Therefore, the contribution of this paper lies in proposing one single formula that can be used to estimate the two main safety integrity{\textquoteright}s performance indicators for any KooN architecture using any kind of common cause failures parametric model.},
	url = {https://doi.org/10.1016/j.psep.2018.04.019},
	author = {MCHEBILA}
}
@article {5638,
	title = {Quantitative consequence analysis using Sedov-Taylor blast wave model. Part II: Case study in an Algerian gas industry},
	journal = {Process Safety and Environmental Protection},
	volume = {2018},
	number = {116(5)},
	year = {2018},
	pages = {771-779},
	abstract = {
	
		In the oil and gas industry, it is common to use gas liquefaction that allows storage and transport of large quantities of LNG and LPG. One of the main disadvantages of this storage mode is the BLEVE risk, which remains a major concern for risk decision-makers. In order to prevent the occurrence of this risk and reduce its impact, risk analysts often use quantitative risk analysis (QRA), which is based on the understanding and quantification of the accidental phenomena and their consequences (overpressure, thermal radiation, toxicity dose). QRA is a rigorous and advanced approach that requires reliable data in order to obtain a good estimate and control of risks. The main objective of this paper (Part II) is to integrate the Sedov-Taylor model developed in Part I into the QRA approach in order to evaluate BLEVE blast effect, and illustrate it with a case study on a pressurized LPG accumulator located in the MPP3-plant of SONATRACH company in the Hassi R{\textquoteright}Mel gas field (the largest gas field in Algeria). A parametric analysis of the fuel mass, temperature at failure and rupture pressure is carried out to study their influence on the evolution of BLEVE overpressure. In addition, the evaluation of BLEVE thermal effect is performed in order to better realize an exhaustive QRA. Through this application, the results show the great relevance of the Sedov-Taylor model in the consequence analysis and also in the development of process safety recommendations.
	

},
	url = {https://doi.org/10.1016/j.psep.2018.02.003},
	author = {I SELLAMI and R NAIT-SAID and K CHETEHOUNA and C IZARRA and F  Zidani}
}
@article {5637,
	title = {Quantitative consequence analysis using Sedov-Taylor blast wave model. Part I: Model description and validation},
	journal = {Process Safety and Environmental Protection},
	volume = {2018},
	number = {116(5)},
	year = {2018},
	pages = {763-770},
	url = {https://doi.org/10.1016/j.psep.2018.02.002},
	author = {I SELLAMI and R NAIT-SAID and C IZARRA and K CHETEHOUNA and F  Zidani}
}
@article {5636,
	title = {BLEVE fireball modeling using Fire Dynamics Simulator (FDS) in an Algerian gas industry},
	journal = {Journal of Loss Prevention in the Process Industries},
	volume = {2018},
	number = {54(7)},
	year = {2018},
	pages = {69-84},
	abstract = {
	
		
			
				BLEVE is one of major accidents observed in gas industry causing severe damage to people and environment. Its effects are manifested in three ways: shock wave propagation, fireball radiation and fragments projection. To assess these effects, risk decision-makers often use Quantitative Risk Analysis (QRA). In most cases, QRA data are obtained from empirical correlations. However, these correlations are not very satisfactory because they generally overestimate BLEVE effects and do not take into account geometry effects. In order to overcome the limitations of these empirical approaches, CFD modeling appears as a powerful tool able to provide more accurate data to better realize QRA. In this paper, the objective is to develop a CFD methodology in order to predict BLEVE thermal effects. Numerical simulations are carried out using the CFD code FDS. A sensitivity analysis of numerical models is performed in order to choose the right parameters allowing to model the fireball dynamics. The models retained are based on a single-step combustion using EDC model coupled with a LES turbulence model. Predictions show good agreement in comparison with results issued from three large-scale experiments. Furthermore, a case study on a propane accumulator in an Algerian gas processing unit is carried out.
			
		
	

},
	url = {https://doi.org/10.1016/j.jlp.2018.02.010},
	author = {I SELLAMI and B MANESCAU and K CHETEHOUNA and C IZARRA and R NAIT-SAID and F  Zidani}
}
@article {5635,
	title = {Contribution of the lessons learned from oil refining accidents to the industrial risks assessment},
	journal = {Management of Environmental Quality},
	volume = {2018},
	number = {29(4)},
	year = {2018},
	pages = {643-665},
	abstract = {
	
		Purpose
	

	
		
			The purpose of this paper is to employ lessons learned from the industrial accidents in Skikda refinery during the period from 2005 to 2016 as input data for the numerical simulation of risk consequences to identify the exposed areas to the various effects of industrial accidents.
		
	



	
		Design/methodology/approach
	

	
		
			In order to assess how the lessons learned can contribute to modeling the accidents effects in the refining activities, this paper presents a combined statistical/dynamic approach that combines two main tools, namely, lessons learned from petroleum refining in Algeria and Areal Locations of Hazardous Atmospheres software.
		
	



	
		Findings
	

	
		
			The results showed that fire is the most frequent accident at Skikda refinery that is mainly caused by equipment failures with a frequent involvement of crude oil and LNG. The NO2 toxic effects are unacceptable. This means that in the case of a similar accident, the entire population will be exposed to an intolerable concentration of NO2. Therefore, people must be relocated to a safer place. The results indicate that the concentration threshold can be met beyond the distance of 1 km.
		
	



	
		Research limitations/implications
	

	
		
			Due to the economic importance of Skikda refinery and the absence of data related to the accidents in the refineries of Algiers, Arzew and Hassi Messaoud, this study is limited to the statistical analysis of accidents related to Skikda refinery.
		
	



	
		Practical implications
	

	
		
			This approach makes the risk assessment more practical and effective for the appropriate utilization of safety barriers and for the whole decision-making process.
		
	



	
		Originality/value
	

	
		
			This work presents a review paper of accidents that occurred in the oil-refining sector in Algeria, whose objective is learning lessons from past accidents history, by identifying their immediate causes and effects on personnel, equipment and environment in order to propose prevention measures. The novelty of this work is highlighted by the fact that this statistical analysis of oil and gas refining accident is realized for the first time in Algeria. This is due to the difficulty of obtaining data on accidents in the Algerian refining sector; for this reason, the authors have limited the study to the Skikda refinery.
		
	

},
	url = {HTTP://doi.org/10.1108/MEQ-07-2017-0067 },
	author = {S CHETTOUH and R HAMZI and MCHEBILA}
}
@article {5634,
	title = {Contribution to the declination of the dependability requirements using a three-dimensional decomposition of complex systems},
	journal = {Prod. Eng. Res. Devel},
	volume = {2018},
	number = {12},
	year = {2018},
	pages = {647{\textendash}658},
	abstract = {The declination of the dependability requirements of the complex systems is one of the most critical processes of systems conception as well as systems engineering. We consider that these dependability requirements must be globally considered at the complete system level if they are to be respected before being allocated on the components of the system. Our approach is based on a three-dimensional decomposition model of the system whose purpose is to describe the way in which the system operates in order to deduce its dysfunction that serves as a basic support for the declination of the dependability requirements. The proposed method is applied to a nitric acid cooling system before being introduced into a chemical reactor.},
	url = {HTTP://doi.org/10.1007/s11740-018-0827-y},
	author = {S SAADI and M DJEBABRA and W BOULAGOUAS}
}
@article {5633,
	title = {Bayesian Networks for Frequency Analysis in Dependability},
	journal = {J Fail. Anal. and Preven},
	volume = {2018},
	number = {18},
	year = {2018},
	pages = {538{\textendash}544},
	abstract = {The high suppleness of Bayesian networks has led to their wide application in a variety of dependability modeling and analysis problems. The main objective of this paper is to extend the use of such powerful tool to estimate the occurrence frequency of failures and consequences in a straightforward way. Such extension is based on the employment of a transformation operator to substitute the original terms with matrices that hold the full dependability description of the corresponding element. Two simple case studies in reliability and safety contexts are treated using the suggested method whose results are validated through their comparison to the corresponding results of other classical dependability techniques.},
	url = {HTTP://doi.org/10.1007/s11668-018-0433-5},
	author = {MCHEBILA}
}
