Human factors analysis and classification system for the oil and gas industry (HFACS-OGI)
Article
Theophilus, S., Esenowo, V., Arewa, A., Ifelebuegu, A., Nnadi, E. O. and Mbanaso, F. 2017. Human factors analysis and classification system for the oil and gas industry (HFACS-OGI). Reliability Engineering and System Safety . 167, pp. 168-176. https://doi.org/10.1016/j.ress.2017.05.036
Authors | Theophilus, S., Esenowo, V., Arewa, A., Ifelebuegu, A., Nnadi, E. O. and Mbanaso, F. |
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Abstract | The oil and gas industry has been beset with several catastrophic accidents, most of which have been attributed to organisational and operational human factor errors. The current HFACS developed for the aviation industry, cannot be used to simultaneously analyse regulatory deficiencies and emerging violation issues, such as sabotage in the oil and gas industry. This paper presents an attempt to improve the existing HFACS investigation tool and proposes a novel HFACS named the Human Factors Analysis and Classification System for the Oil and Gas Industry (HFACS-OGI). Results found the HFACS-OGI system to be suitable for categorising accidents, following the analysis of 11 accident reports from the US Chemical Safety Board (US CSB). The HFACS-OGI system moreover revealed some significant relationships between the different categories. Furthermore, the results indicated that failures in national and international industry regulatory standards would automatically create the preconditions for accidents to occur. |
Journal | Reliability Engineering and System Safety |
Journal citation | 167, pp. 168-176 |
ISSN | 0951-8320 |
Year | 2017 |
Publisher | Elsevier |
Accepted author manuscript | License File Access Level Anyone |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.ress.2017.05.036 |
Publication dates | |
Online | 31 May 2017 |
Publication process dates | |
Accepted | 18 May 2017 |
Deposited | 05 May 2021 |
Copyright holder | © 2017 Elsevier |
https://repository.uel.ac.uk/item/894q8
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