Fault Creator Cases Analysis Based on Bayesian Method in Current Permit to Work System to Optimize the Protection Layers and Risk Management, During Commissioning and Start-up Phases of Gas Refinery Plant
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Abstract
Accident statistics indicate that the majority of accidents at four categories of human, environment, equipment, and reputation of a community have mainly occurred in the process industries. Amongst them, the Oil and Gas industries have a significant portion, as these industries handle large quantities of flammable, toxic chemicals, and exposure to the high potential of serious accidents. Having considered these issues, it is essential to execute an in place safe system of work in such industries. Permit to work system (PTWS) is one of the most important and effective key of HSE-MS sub-systems, which has a significant role in identifying, predicting, controlling, and eliminating hazards of activities and probable accidents at workplaces. As a question for this research, it is being used in the oil and gas industry. Currently used PTWS method at gas refineries in Pars Special Economic Energy Zone (PSEEZ) is a paper-based management system document, based on the statistical results obtained using the experiences of trustees and experts, which intrinsically contains some defects and deficiencies; consequently it could not provide sufficient and effective barriers. These inherent PTWS errors and faults as the data-based permit to work system (D.B.P.T.W) are leading the operating system to different types of accidents, and finally system failures and catastrophic disasters. Therefore, in this study Bayesian theory was applied for the conditional probability of fault creator cases (FCCs) of PTWS assessment. Fault creator cases analysis in permit to work system with changes in the current PTWS were used (Current Permit to Work, C.P.T.W) in gas refineries by logical management. So that the use of this new method based on historical and interconnected and multi-faceted fault factors communication and also disconformity/capability for immediate and simultaneous informing and discovering on the relevant system components and also according to a Bayesian analysis on seven important and critical variables for both CPTWS and DPTW.S for pessimist and optimist statuses may improve the protection safety layers and it is possible to decease and finally eliminate accidents as low as reasonably practicable (ALARP) level at gas refinery plants.
Burrows, R., 2006. Implementing an Electronic Permit to Work System in Qatargas. SPE International Health, Safety & Environment Conference.
Chang, Y. J., Bley, D., Criscione, L., Kirwan, B., Mosleh, A., Madary, T., . . . Sieben, S., 2014. The SACADA database for human reliability and human performance. Reliability Engineering & System Safety, 125, 117-133.
Feller, F., 1969. Theory of probability (2 vols.), J. Wiley & Sons, Inc., New York, Volume 11, Issue 6, , pp. 428.
Gertman, D., Gilbert, B., Gilmore, W., Galyean, W., 1988. Nuclear computerized library for assessing reactor reliability (NUCLARR): Data manual: Part 1, Summary description: EG and G Idaho, Inc., Idaho Falls (USA).
Iliffe, R., Chung, P., Kletz, T., 1999. More effective permit-to-work systems. Process safety and environmental protection, 77(2), 69-76.
Industrial Safety Department, 2010., Safety at work, Total’s golden rules, we commit to following them, TOTAL S.A.- http://securite.corp.local, First edition: April 2010 , pp. 16.
Jahangiri, M., Hoboubi, N., Rostamabadi, A., Keshavarzi, S., Hosseini, A. A., 2016. Human error analysis in a permit to work system: a case study in a chemical plant. Safety and health at work, 7(1), 6-11.
Jayakumar, S., Liyanage, J. P., 2016. Safety Integrity Under Demanding Conditions: A Study on Permit-to-Work (PTW) Systems in the Marine-Subsea Sector. Paper presented at the Proceedings of the 10th World Congress on Engineering Asset Management.
Kirwan, B., Basra, G., Taylor-Adams, S., 1997. CORE-DATA: a computerised human error database for human reliability support. Paper presented at the Human Factors and Power Plants. Global Perspectives of Human Factors in Power Generation., Proceedings of the 1997 IEEE Sixth Conference.
Liang, G.-F., Lin, J.-T., Hwang, S.-L., Wang, E. M.-y., Patterson, P., 2010. Preventing human errors in aviation maintenance using an on-line maintenance assistance platform. International Journal of Industrial Ergonomics, 40(3), 356-367.
Neill, M., 2004. Web-Based Solutions for Hazardous Work Management: A Case Study. Paper presented at the SPE International Conference on Health, Safety, and Environment in Oil and Gas Exploration and Production.
OGP, 1993. Guidelines on permit to work (P.T.W.) systems, Report No: 6.29/189 January, OGP publications.
Pillay, M., Tuck, M., 2017. Permit-to-Work Systems as a Health and Safety Risk Control Strategy in Mining: A Prospective Study in Resilience Engineering. Paper presented at the International Conference on Applied Human Factors and Ergonomics.
Riley, D. B., Weyman, A. K., 1995. A survey of permit-to-work systems and forms in small to medium sized chemical plant. Paper presented at the IChemE Symposium Series.
Sarkheil, H., AZIMI, Y., AGHDASH, J. J., 2017. An Innovative Permit to Work System Disconformities Identification (PTWDI) in the Commissioning and Start Up Phases of South Pars Gas Complex, Iran. International Journal of Occupational Hygiene, 9(1), 1-8.
Sarkheil H. Tavakoli J, Rezvani S., 2015. An Innovative Neglected Invisible Hazard Identification (NIHI) at Workplaces; the Case of Athletics Hall Boroujen-Iran. Int J Occup Hyg 2015; 7: 159-166.
Sarkheil H. Rahabri Sh., 2016. HSE Key Performance Indicators in HSE-MS Establishment and Sustainability: A Case of South Pars Gas Complex, Iran. Int J Occup Hyg 2016; 8: 45-53.
Scott, S., 1993. Management of safety-permit-to-work systems. INSTITUTION OF CHEMICAL ENGINEERS SYMPOSIUM SERIES.
HID Inspection Guide Offshore - Inspection of Control of Work arrangements. HSE.gov.uk: Health and safety Executive. http://www.hse.gov.uk/
Thomson, J., 2015. High Integrity Systems and Safety Management in Hazardous Industries: Butterworth-Heinemann.
| Files | ||
| Issue | Vol 11 No 2 (2019) | |
| Section | Original Article(s) | |
| Published | 2019-08-11 | |
| Keywords | ||
| Permit to Work System ALARP Bayesian Inherent | ||
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