Analysis of accidents caused by human factors in the oil and gas industry using the HFACS-OGI framework

Chizaram D. Nwankwo; Andrew O. Arewa; Stephen C. Theophilus; Victor N. Esenowo

doi:10.1080/10803548.2021.1916238

Analysis of accidents caused by human factors in the oil and gas industry using the HFACS-OGI framework

Chizaram D. Nwankwo^*, Andrew O. Arewa, Stephen C. Theophilus, Victor N. Esenowo

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

49 Citations (Scopus)

Abstract

Objectives. Human factors have been identified as the most common causes of catastrophic accidents in the oil and gas industry. Therefore, this study aims to analyze human causal factors of accidents in the oil and gas industry using the human factors analysis and classification system for the oil and gas industry (HFACS-OGI) framework. Methods. This study involved quantitative data collection for 184 accident cases in the oil and gas industry that occurred from 2013 to 2017 from the International Association of Oil and Gas Producers (IOGP) database. The causal factors of these accidents were coded using the HFACS-OGI framework. Accident data were analyzed using descriptive statistics and the χ ² test. Results. Study findings reveal that 23% of all accidents were recorded in 2013. Thirty-two percent of accidents occurred in Asia, while 69% of accidents were recorded in onshore locations. Contractors were involved in 86% of accidents, while 28% of accidents occurred during drilling, workover and well services. The contractor’s work environment was the main human factor in 90% of accident cases. Conclusion. The HFACS-OGI framework proves to be a vital tool for robust accident analysis of human factors in the oil and gas industry.

Original language	English
Pages (from-to)	1642-1654
Number of pages	13
Journal	International Journal of Occupational Safety and Ergonomics
Volume	28
Issue number	3
DOIs	https://doi.org/10.1080/10803548.2021.1916238
Publication status	Published - 2022
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2021 Central Institute for Labour Protection–National Research Institute (CIOP-PIB). Published by Informa UK Limited, trading as Taylor & Francis Group.

Keywords

HFACS-OGI
accidents
human factors
oil and gas industry

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1080/10803548.2021.1916238

Cite this

@article{e11b1d3216414021842c1b321fe7d9e6,

title = "Analysis of accidents caused by human factors in the oil and gas industry using the HFACS-OGI framework",

abstract = "Objectives. Human factors have been identified as the most common causes of catastrophic accidents in the oil and gas industry. Therefore, this study aims to analyze human causal factors of accidents in the oil and gas industry using the human factors analysis and classification system for the oil and gas industry (HFACS-OGI) framework. Methods. This study involved quantitative data collection for 184 accident cases in the oil and gas industry that occurred from 2013 to 2017 from the International Association of Oil and Gas Producers (IOGP) database. The causal factors of these accidents were coded using the HFACS-OGI framework. Accident data were analyzed using descriptive statistics and the χ 2 test. Results. Study findings reveal that 23\% of all accidents were recorded in 2013. Thirty-two percent of accidents occurred in Asia, while 69\% of accidents were recorded in onshore locations. Contractors were involved in 86\% of accidents, while 28\% of accidents occurred during drilling, workover and well services. The contractor{\textquoteright}s work environment was the main human factor in 90\% of accident cases. Conclusion. The HFACS-OGI framework proves to be a vital tool for robust accident analysis of human factors in the oil and gas industry.",

keywords = "HFACS-OGI, accidents, human factors, oil and gas industry",

author = "Nwankwo, \{Chizaram D.\} and Arewa, \{Andrew O.\} and Theophilus, \{Stephen C.\} and Esenowo, \{Victor N.\}",

note = "Publisher Copyright: {\textcopyright} 2021 Central Institute for Labour Protection–National Research Institute (CIOP-PIB). Published by Informa UK Limited, trading as Taylor \& Francis Group.",

year = "2022",

doi = "10.1080/10803548.2021.1916238",

language = "English",

volume = "28",

pages = "1642--1654",

journal = "International Journal of Occupational Safety and Ergonomics",

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T1 - Analysis of accidents caused by human factors in the oil and gas industry using the HFACS-OGI framework

AU - Nwankwo, Chizaram D.

AU - Arewa, Andrew O.

AU - Theophilus, Stephen C.

AU - Esenowo, Victor N.

PY - 2022

Y1 - 2022

N2 - Objectives. Human factors have been identified as the most common causes of catastrophic accidents in the oil and gas industry. Therefore, this study aims to analyze human causal factors of accidents in the oil and gas industry using the human factors analysis and classification system for the oil and gas industry (HFACS-OGI) framework. Methods. This study involved quantitative data collection for 184 accident cases in the oil and gas industry that occurred from 2013 to 2017 from the International Association of Oil and Gas Producers (IOGP) database. The causal factors of these accidents were coded using the HFACS-OGI framework. Accident data were analyzed using descriptive statistics and the χ 2 test. Results. Study findings reveal that 23% of all accidents were recorded in 2013. Thirty-two percent of accidents occurred in Asia, while 69% of accidents were recorded in onshore locations. Contractors were involved in 86% of accidents, while 28% of accidents occurred during drilling, workover and well services. The contractor’s work environment was the main human factor in 90% of accident cases. Conclusion. The HFACS-OGI framework proves to be a vital tool for robust accident analysis of human factors in the oil and gas industry.

AB - Objectives. Human factors have been identified as the most common causes of catastrophic accidents in the oil and gas industry. Therefore, this study aims to analyze human causal factors of accidents in the oil and gas industry using the human factors analysis and classification system for the oil and gas industry (HFACS-OGI) framework. Methods. This study involved quantitative data collection for 184 accident cases in the oil and gas industry that occurred from 2013 to 2017 from the International Association of Oil and Gas Producers (IOGP) database. The causal factors of these accidents were coded using the HFACS-OGI framework. Accident data were analyzed using descriptive statistics and the χ 2 test. Results. Study findings reveal that 23% of all accidents were recorded in 2013. Thirty-two percent of accidents occurred in Asia, while 69% of accidents were recorded in onshore locations. Contractors were involved in 86% of accidents, while 28% of accidents occurred during drilling, workover and well services. The contractor’s work environment was the main human factor in 90% of accident cases. Conclusion. The HFACS-OGI framework proves to be a vital tool for robust accident analysis of human factors in the oil and gas industry.

KW - HFACS-OGI

KW - accidents

KW - human factors

KW - oil and gas industry

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DO - 10.1080/10803548.2021.1916238

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JO - International Journal of Occupational Safety and Ergonomics

JF - International Journal of Occupational Safety and Ergonomics

IS - 3

ER -

Analysis of accidents caused by human factors in the oil and gas industry using the HFACS-OGI framework

Abstract

Bibliographical note

Keywords

UN SDGs

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