Process Hazard Identification and Quantitative Risk Assessment in Critical Facilities of a Gas Compressor Station

Document Type : Research Article

Authors

Faculty of Chemical, Oil and Gas Engineering, University of Science and Technology, Tehran, I.R. IRAN

Abstract

In this study, a systematic approach is introduced for process hazard Identification and dynamic risk assessment focusing on the process equipment failure as well as control and instrument facilities in a typical gas compressor station. The survey was initially performed via HAZOP analysis for the main process facilities of the case study. Then, the Bow-Tie analysis was proposed as a combination of fault tree and event tree. Because of the static nature of these conventional risk assessment methods and the limitations such as uncertainty in modeling casual relationships between components, this study proposes a dynamic approach using Bayesian networks for safety risk assessment of gas compressor stations. Critical points in the unit were identified after updating the probability of the main event occurrence using sensitivity analysis. The HAZOP results showed that the compressor node had a high potential for loss of containment or compressor failure. The evaluation of human error is also performed using specific data. The results of the quantitative risk assessment show that the probability of compressor damage due to surge conditions is equal to 2.163 × 10-3. It is also found that the probability of jet fire and flash fire is equal to 1.51E-6 and 9.58E-6. The bow tie was mapped to the Bayesian network for dynamic risk assessment. After setting the new evidence, the probabilities of intermediate events and basic events were updated. Sensitivity analysis using the ROV criterion showed that compressor protection system failure, anti-surge control valve failure, and the events associated with the compressor strainer were the main contributors. Finally, suggestions were made to improve the unit's safety and reduce its risk.

Keywords

Main Subjects

References

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Nashrieh Shimi va Mohandesi Shimi Iran
Volume 42, Issue 4 - Serial Number 110
December 2023
Pages 261-278

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