Safety and Risk Analysis of an Operational Heater Using Bayesian Network

Zerrouki, Hamza; Abdallah, Tamrabet

doi:10.1007/s11668-015-9986-8

Cited by 12 publications

(4 citation statements)

References 9 publications

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“…This also shows that passive security measures (safety management of equipment) are more robust than active security measures (emergency response) [46]. Hamza also proposed in the literature, to improve the safety of the process, the training focus on human factors is important [47], but an effective emergency response can minimize casualties and property loss. Engineering measures to prevent chemical plant explosions in advance are also critical, including the design of hazardous area classifications or ensuring separation distances to minimize damage.…”

Section: Discussionmentioning

confidence: 93%

Risk Analysis of Chemical Plant Explosion Accidents Based on Bayesian Network

Zhu

et al. 2019

Sustainability

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Many chemical plant explosion accidents occur along with the development of the chemical industry. Meanwhile, the interaction and influence of various factors significantly increase the uncertainty of the evolution process of such accidents. This paper presents a framework to dynamically evaluate chemical plant explosion accidents. We propose twelve nodes to represent accident evolution and establish a Bayesian network model for chemical plant explosion accidents, combining historical data with expert experience to support the prevention, management, and real-time warning. Hypothetical scenarios and catastrophic explosion scenarios were analyzed by setting different combinations of states for nodes. Moreover, the impacts of factors such as factory type, material form, accident equipment, the emergency response on casualty and property loss are evaluated. We find that sensitivity of property loss and casualties to factory type and ongoing work are less significant; the equipment factors result in more casualties than that from personnel factors; the impact of emergency response on the accident results is significant; equipment safety management and personnel safety training are the most important measures to prevent chemical plant explosion risks.

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Section: Discussionmentioning

confidence: 93%

Risk Analysis of Chemical Plant Explosion Accidents Based on Bayesian Network

Zhu

et al. 2019

Sustainability

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“…Based on site feedback and hazard analysis and investigation reports from companies in the same sector and different criteria, we discover that the heater is a very important part and the most critical element in the production of fuel gases. It makes it possible to separate hydrocarbons better (Zerrouki and Tamrabet, 2015), all the historical reasons as unsatisfied beneficiaries and a huge dysfunction that makes us focus on the heater H101, the choice of the heater make according to the combination of risks with processes(Interest process and risk fail). The SADT model of the gas treatment process is presented by the activity level A0 (Figure 5).…”

Section: Resultsmentioning

confidence: 99%

“…As presented in Ouazraoui et al (2012), Zerrouki and Tamrabet (2015) this process allows for better recovery of liquid hydrocarbons, starting with the pre-separation of the raw gas from the wells and its compression on the booster station at a pressure of 117 kg/cm 2 and a temperature of 62°C. In the high-pressure separation section, the recovered liquid hydrocarbons are separated as petroleum gas and condense in the C102 deethanizer of the fractional section.…”

Section: Resultsmentioning

confidence: 99%

Multi-criterion analysis based on integrated process-risk optimization

Derradji

Hamzi

2020

JEDT

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Purpose This paper aims to propose a process optimization approach showing how organizations are able to achieve sustainable and efficient process optimization, based on integrated process-risk analysis using several criteria to a better decision-making. Design/methodology/approach Several approaches are used (functional/dysfunctional) to analyze how processes work and how to deal with risks forming multi-criteria decision-making. In addition, a risk factor is integrated into the structured analysis and design techniques (SADT) method forming a novel graphical view SADT-RISK; it identifies process’s failures using the traditional failure modes, effects and criticality analysis (FMECA) and economic consideration “failure mode and effect, criticality analysis-cost FMECA-C” making a multi-criterion matrix for better decision-making. Subsequently, some recommendations are proposed to overcome the failure. Findings This paper illustrates a methodology with a case study in a company, which has a leading brand in the market in Algeria. The authors are integrating a varied portfolio of approaches linking with each other to analyze, improve and optimize the processes in terms of reliability and safety to deal with risks; reduce the complexity of the systems; increase the performance; and achieve a safer process. However, the proposed method can be readily used in practice. Originality/value The paper provides a new approach based on integrated management using new elements as an innovative contribution, forming a novel graphical view SADT-RISK; it identifies process’s failures using the traditional FMECA and economic consideration “a new multi-criterion matrix for better decision-making and using the SWOT analysis – Strengths, Weaknesses, Opportunities, Threats – as a balance to decide about the process improvement”. The authors conclude that this methodology is oriented and applicable to different types of companies such as financial, health and industrial as illustrated by this case study.

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“…The framework of a common fuzzy modelling system Subjective uncertainty handling using Bayesian networkIn the literature, it is stated that Bayesian networks (BNs) have high flexibility compared to FTs, and a FT can be substituted by a BN in a risk assessment procedure[74]. Bayesian networks are common in machine learning, statistics, artificial intelligence, and risk assessment[75]. To create the corresponding Bayesian network of a FT, as illustrated inFigure 5, all elements in a typical FT are converted into the corresponding Bayesian network in which the nodes represent variables, Conditional Probability Tables (CPTs) assigned to the nodes numerically represent conditional dependencies, and arcs signify direct causal relationships between the linked nodes.…”

mentioning

confidence: 99%

Uncertainty handling in fault tree based risk assessment: State of the art and future perspectives

Yazdi

Kabir

Walker

2019

Process Safety and Environmental Protection

146

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Risk assessment methods have been widely used in various industries, and they play a significant role in improving the safety performance of systems. However, the outcomes of risk assessment approaches are subject to uncertainty and ambiguity due to the complexity and variability of system behaviour, scarcity of quantitative data about different system parameters, and human involvement in the analysis, operation, and decision-making processes. The implications for improving system safety are slowly being recognised; however, research on uncertainty handling during both qualitative and quantitative risk assessment procedures is a growing field. This paper presents a review of the state of the art in this field, focusing on uncertainty handling in fault tree analysis (FTA) based risk assessment. Theoretical contributions, aleatory uncertainty, epistemic uncertainty, and integration of both epistemic and aleatory uncertainty handling in the scientific and technical literature are carefully reviewed. The emphasis is on highlighting how assessors can handle uncertainty based on the available evidence as an input to FTA.

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Safety and Risk Analysis of an Operational Heater Using Bayesian Network

Cited by 12 publications

References 9 publications

Risk Analysis of Chemical Plant Explosion Accidents Based on Bayesian Network

Risk Analysis of Chemical Plant Explosion Accidents Based on Bayesian Network

Multi-criterion analysis based on integrated process-risk optimization

Uncertainty handling in fault tree based risk assessment: State of the art and future perspectives

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