Layers of protection analysis in the framework of possibility theory

Ouazraoui, Nouara; Nait-Said, Rachid; Bourareche, Mouloud; Sellami, Ilyas

doi:10.1016/j.jhazmat.2013.08.042

Cited by 17 publications

(9 citation statements)

References 24 publications

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“…However, in paper [2], it was generalized that the SIL is based on the probability-relying data. Research results [3] expand the previous statement on the fact that probabilistic data bring…”

Section: Literature Review and Problem Statementsupporting

confidence: 82%

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Construction of methods for ensuring the required level of safety integrity in the automated systems of control over technological processes

Vitalii

Baturin

Lyfar

et al. 2019

EEJET

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Section: Literature Review and Problem Statementsupporting

confidence: 82%

“…It is similarly possible to apply the ETA methods [24]. Taking into consideration that the concept of SIL is based on probabilistic data [2] with a certain share of uncertainty [3], the regulated methods are used to determine the risk [15][16][17][18]. However, qualitative indices are analyzed in this case [6].…”

Section: Fig 4 Input Of Ndmentioning

confidence: 99%

Construction of methods for ensuring the required level of safety integrity in the automated systems of control over technological processes

Vitalii

Baturin

Lyfar

et al. 2019

EEJET

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“…To illustrate the applicability of the proposed fuzzy risk graph model when dealing with uncertainty characterizing parameters data, our case study focuses on one of the most sensitive systems, which may generate, in the event of failure, catastrophic, human, material, and environmental consequences. It is the heater (H101), which is the key equipment of gas treatment plantMPP3 of SONATRACH Company (Algeria) (Ouazraoui et al, 2013). The main function of the heater (H101) is to produce light fuel gases (commercial gas) that are essentially composed of methane and ethane.…”

Section: Case Studymentioning

confidence: 99%

“…This is in addition to the subjective outcomes involving hypotheses and experts' judgments in the risk assessment process (Abrahamsson, 2002;Kumar et al, 2005). In the case of safety instrumented systems (SIS), which are considered highly reliable protection layers, and whose performance is quantified by their safety integrity level (SIL), the data referring to the probability of their deficiencies are affected by uncertainty as they are linked to rare events (Marszal and Scharpf, 2001;Markowski et al, 2007;Sallak, 2007;Simon et al, 2007;Nait-Said et al, 2009;Ouazraoui et al, 2013Ouazraoui et al, , 2015.…”

Section: Introductionmentioning

confidence: 99%

An alternative approach to safety integrity level determination: results from a case study

Ouazraoui

Nait-Said

2019

IJQRM

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Purpose The purpose of this paper is to validate a fuzzy risk graph model through a case study results carried out on a safety instrumented system (SIS). Design/methodology/approach The proposed model is based on an inference fuzzy system and deals with uncertainty data used as inputs of the conventional risk graph method. The coherence and redundancy of the developed fuzzy rules base are first verified in the case study. A new fuzzy model is suggested for a multi-criteria characterization of the avoidance possibility parameter. The fuzzy safety integrity level (SIL) is determined for two potential accident scenarios. Findings The applicability of the proposed fuzzy model on SIS shows the importance and pertinence of the proposed fuzzy model as decision-making tools in preventing industrial hazards while taking into consideration uncertain aspects of the data used on the conventional risk graph method. The obtained results show that the use of continuous fuzzy scales solves the problem of interpreting results and provides a more flexible structure to combine risk graph parameters. Therefore, a decision is taken on the basis of precise integrity level values and protective actions in the real world are suggested. Originality/value Fuzzy logic-based safety integrity assessment allows assessment of the SIL in a more realistic way by using the notion of the linguistic variable for representing information that is qualitative and imprecise and, therefore, ensures better decision making on risk prevention.

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“…Evaluation of SB's performances using the LOPA and TRAM methods Calculations required by the LOPA method (Ouazraoui et al, 2013;CCPS, 2001). For each "i" sequence, leading to an accidental event (BLEVE, for example), its occurrence frequency (F c ) is obtained by multiplying the frequency of initiator event ðf I i Þ and the average probabilities of failure on demand PFD ij of each layer of protection:…”

Section: Evaluation Of Safety Barriers Performancementioning

confidence: 99%

Contribution to the evaluation of safety barriers performance

Hefaidh

Djebabra

Lila

et al. 2019

WJSTSD

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Purpose The risk control is an unavoidable step in the risk management process. It is materialized by concrete actions of risks reduction in order to decrease their likelihood and/or their severity and also to preserve the environment. The paper aims to discuss this issue. Design/methodology/approach The main goal of the proposed methodology is to define the safety barriers (SB) that can be realized and their contribution to reduce major accidents scenarios that may occur in high-risk establishments. Findings In the proposed methodology, the authors present a combination of methods to prove the effectiveness of SB in an industrial installation. Practical implications The proposed methodology is a valuable help to industrialists to secure their industrial activities and preserve the environment at the same time. Originality/value The retained methods are often used separately for audit purposes or risk assessments of high-risk industrial facilities. In this paper, three methods have been selected and articulated in an approach for a better evaluation of risk control level.

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Layers of protection analysis in the framework of possibility theory

Cited by 17 publications

References 24 publications

Construction of methods for ensuring the required level of safety integrity in the automated systems of control over technological processes

Construction of methods for ensuring the required level of safety integrity in the automated systems of control over technological processes

An alternative approach to safety integrity level determination: results from a case study

Contribution to the evaluation of safety barriers performance

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