Review of Recordable Injuries in an Oil and Gas Company by Using Human Factors Analysis and Classification System for the Oil and Gas Industry (HFACS-OGI)
Main Article Content
Recordable injuries, defined as occupational incidents resulting in injuries beyond first aid, serve as critical indicators of safety performance within the oil and gas industry. Understanding the root causes of these injuries is essential for preventing their recurrence and enhancing safety outcomes. Employing the Human Factors Analysis and Classification System for the Oil and Gas Industry (HFACS-OGI) promises valuable insights into these incidents, with a focus on human factors. By reclassifying existing investigation findings into the HFACS-OGI framework, this study examines the distribution of causal categories across its five classification levels. It reveals that recordable injury causes span across four of these levels: Level 1 – Unsafe Acts, Level 2 – Preconditions of Unsafe Acts, Level 3 – Unsafe Supervision, and Level 4 – Organizational Influences. Moreover, the analysis underscores the interconnected nature of these levels, emphasizing comprehensive understanding and integrated management of safety risks.
Keywords:
Human Factor, Oil and Gas Industry, Recordable Injury
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Diller, T., Helmrich, G., Dunning, S., Cox, S., Buchanan, A., & Shappell, S. (2014). The human factors analysis classification system (HFACS) applied to health care. American Journal of Medical Quality, 29(3), 181–190.
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Filho, A. P. G., Souza, C. A., Siqueira, E. L. B., Souza, M. A., & Vasconcelos, T. P. (2019). An analysis of helicopter accident reports in Brazil from a human factors perspective. Reliability Engineering & System Safety, 183, 39–46. Retrieved from https://doi.org/10.1016/j.ress.2018.11.003
França, J. E. M., & Hollnagel, E. (2023). Human Factors Approach to Assess Risks and Reliability in Offshore Operations with FRAM (Functional Resonance Analysis Method). In Offshore Technology Conference Brasil (p. D021S020R002). OTC.
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George, A. S., Moideen, N., Varghese, S., Warrier, A., & Khan, M. (2022). Accidents in the chemical industry: an analysis of the HFACS-PEFE model to examine the role of human factors. Journal Homepage: Www Ijrpr Com ISSN, 2582, 7421.
Hulme, A., Stanton, N. A., Walker, G. H., Waterson, P., & Salmon, P. M. (2019). Accident analysis in practice: A review of Human Factors Analysis and Classification System (HFACS) applications in the peer reviewed academic literature. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 63(1), 1849–1853. Retrieved from https://doi.org/10.1177/1071181319631086
Joseph, B. T., Astesani, R., & Maliekkal, H. (2022). An Innovative and Intelligent Journey Management System for the Energy Industry. In International Petroleum Technology Conference (p. D011S005R005). IPTC.
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Mignan, A., Spada, M., Burgherr, P., Wang, Z., & Sornette, D. (2022). Dynamics of severe accidents in the oil & gas energy sector derived from the authoritative ENergy-related severe accident database. PLOS ONE, 17(2), e0263962. Retrieved from https://doi.org/10.1371/journal.pone.0263962
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Nwankwo, C. D., Arewa, A. O., Theophilus, S. C., & Esenowo, V. N. (2022a). Analysis of accidents caused by human factors in the oil and gas industry using the HFACS-OGI framework. International Journal of Occupational Safety and Ergonomics, 28(3), 1642–1654. Retrieved from https://doi.org/10.1080/10803548.2021.1916238
Nwankwo, C. D., Arewa, A. O., Theophilus, S. C., & Esenowo, V. N. (2022b). Analysis of accidents caused by human factors in the oil and gas industry using the HFACS-OGI framework. International Journal of Occupational Safety and Ergonomics, 28(3), 1642–1654. Retrieved from https://doi.org/10.1080/10803548.2021.1916238
Qiao, W., Liu, Y., Ma, X., & Liu, Y. (2020). Human Factors Analysis for Maritime Accidents Based on a Dynamic Fuzzy Bayesian Network. Risk Analysis, 40(5), 957–980. Retrieved from https://doi.org/10.1111/risa.13444
Sari, A. K. (2022). Determinants of Pertamina Global Bond Yield. Budapest International Research and Critics Institute-Journal (BIRCI-Journal), 5(3).
Theophilus, S. C., Esenowo, V. N., Arewa, A. O., Ifelebuegu, A. O., Nnadi, E. O., & Mbanaso, F. U. (2017). Human factors analysis and classification system for the oil and gas industry (HFACS-OGI). Reliability Engineering & System Safety, 167, 168–176. Retrieved from https://doi.org/10.1016/j.ress.2017.05.036
U?urlu, Ö., Y?ld?r?m, U., & Ba?ar, E. (2015). Analysis of grounding accidents caused by human error. Journal of Marine Science and Technology, 23(5), 19.
Wahua, L., Chukwuma, I. R., Akinsete, T. R., & Brobbey, S. (2023). Employee Compensation and Turnover of Chevron Group of Companies. International Journal of Management, Accounting & Economics, 10(12).
Wang, X., Zhang, B., Zhao, X., Wang, L., & Tong, R. (2020). Exploring the underlying causes of chinese eastern star, korean sewol, and thai phoenix ferry accidents by employing the hfacs-ma. International Journal of Environmental Research and Public Health, 17(11), 4114.
Wiegmann, D. A., & Shappell, S. A. (2017). A human error approach to aviation accident analysis: The human factors analysis and classification system. Routledge.
Zhang, X., Chen, W., Xi, Y., Hu, S., & Tang, L. (2020). Dynamics simulation of the risk coupling effect between maritime pilotage human factors under the HFACS framework. Journal of Marine Science and Engineering, 8(2), 144.
