Human factors analysis and classification system for the oil and gas industry (HFACS-OGI)

Stephen Theophilus, Victor Esenowo, Andrew Arewa, Augustine Ifelebuegu, Ernest O. Nnadi, Fredrick Mbanaso

Research output: Contribution to journalArticlepeer-review

107 Citations (Scopus)
1222 Downloads (Pure)

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. Publisher Statement: NOTICE: this is the author’s version of a work that was accepted for publication in Reliability Engineering & System Safety. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Reliability Engineering & System Safety, [167, (2017)] DOI: 10.1016/j.ress.2017.05.036 © 2017, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Original languageEnglish
Pages (from-to)168-176
Number of pages9
JournalReliability Engineering & System Safety
Volume167
Early online date31 May 2017
DOIs
Publication statusPublished - Nov 2017

Keywords

  • Human and organisational factor
  • Accident causation
  • Accident analysis
  • Human factors analysis and classification system
  • Oil and gas industry

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