Study of the Role of key risks in the trip gas sweetening unit by using Structural Equation Modeling: A case study in the Gas Refinery br

被引:0
|
作者
Askarian, Alireza [1 ]
Tehrani, Mahnaz Mirza Ebrahim [1 ]
Sadatipour, Seyed Mohammad Taghi [1 ]
Jozi, Seyed Ali [1 ]
Marandi, Reza [1 ]
机构
[1] Islamic Azad Univ, Fac Marine Sci & Technol, Dept Environm, North Tehran Branch, Tehran, Iran
关键词
Gas sweetening; Risks; Structure Equation Modeling; Maintenance system; FUZZY; MANAGEMENT; IMPACT; ERROR; OIL; PLS;
D O I
暂无
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Introduction: Unit risk management is a critical component of gas refining management, as risks that are not well-managed may lead to trip production failures. The present study aimed to provide a structural model for investigating the role and effect of different variables on stopping the gas production process in the gas refinery. Material and Methods: This study was a retrospective cross-sectional and systematic analysis, which was carried out on key risks in the trip gas sweetening unit in a gas refinery industry located in Asaluyeh, Iran. The systems analysis was applied by using Fishbone Diagram, and then data modeling was prepared by Structural Equation Modeling (SEM) for an incident that occurred during gas sweetening production. Tools for the data analysis included the SPSS 24 and Smart PLS 2 software. Results: Results of this research indicate that "Environment Risk " with a path coefficient of 0.943 and T- Value of 103.791; "Cost Risk " with a path coefficient of 0.937 and T- Value of 95.168; "Implementation of management system Risk " with a path coefficient of 0.847 and T- Value of 35.23; "Accident Risk " with path coefficient of 0.577 and T- Value of 25.410; "Time Risk " with path coefficient of 0.758 and T- Value of 15.121; "Human Error Risk " with path coefficient of 0.712 and T- Value of 11.215 had the most important coefficients of the paths respectively, that are effective in stopping production concerning other risks. Also, by comparing the path coefficients of the risks we can see that the impact of each of the risks on stopping production is different. Conclusion: The findings of the present study revealed that a combination of variables can affect stopping production in the gas industry. Therefore, the role of these risks in losses in the refinery system should be investigated.
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页码:820 / 841
页数:22
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