جستجوی مقالات مرتبط با کلیدواژه « gas sweetening » در نشریات گروه « پزشکی »

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.

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 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.

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.

Incidents are one of the most important causes of damages in an organization often occurring due to a chain of minor and trivial errors. Therefore, recognizing the pattern and root causes of the errors are an important approach in understanding and improving safety management in the industry. This study aimed to identify human errors leading to incidents in a gas refinery using human factors analysis and classification system (HFACS).Methods and Matereals: The present study for conducted for the event of stopping the production of gas extraction in the gas sweetening unit of the refinery. So, a team consisted of six senior refinery engineers, first the analysis of root causes of events with Fishbone Diagram was prepared. Then, by combining the HFACS method and FAHP theory, the probability of occurrence of each of the reasons was analyzed.

Analyzing the worksheets of 128 activities in four levels of HFACS showed, that the highest errors rate were the first level use of Use low-quality equipment (p=6.8%) and Failure to properly analyze budget for overhaul maintenance (p=6.2%), the 2nd level of the sub-group of inadequate supervision of the maintenance supervisor (p=3.59%), the 3rd subgroup of Task-related human factors (p=3.25%) and the 4th sub-category of (p=3.2%) and Inaccuracy of the contractor in completing the checklist Contractor knowledge-based error (p=2.31%) with the most probability impact in trip gas sweetening unit incident.

The results show that errors have various causes, including individual, activity, situational, and organizational errors that require careful planning and management to eliminate or reduce these errors. Increasing the training effectiveness of operators and supervision improvement respectively are the most important measures in decreasing human error-induced incidents in refinery industry maintenance.