Human Factor Engineering and Incident Prevention in Oil and Gas Welding Operations

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Welding operations are known for high safety risk which requires urgent identification and prevention before they result in huge negative impacts on the nations’ gross domestic product, organizations, workers and the environment. This research aimed at developing a human factor engineering model that support loss prevention in welding industry by assessing the impact of human factors on incident frequency and safety performance in Nigerian Oil and Gas industry. The study was carried out using coded skilled welders who had at least two years’ experience and above. Descriptive study design with structured questionnaire was used for data collection and Satistical Package for Social Sciences (SPSS) version 26 Structural equation modelling software for data analysis. The results revealed that Pearson’s correlation coefficient between human factors and safety performance were statistically significant with a p-values of -0.45, 0.72, -0.50, 0.77 and 0.32 for workplace, task, personal, organizational and design factors respectively. Pearson’s correlation coefficient between human factors and incident frequency and fatality rates were 0.64, -0.55, 0.71, -0.89, and -0.45 for workplace, task, personal, organizational and design factors respectively. The structural equation regression model showed that human factors and safety performance was statistically significant with a path coefficient of -0.733, 0.860, -0.615, 0.616 and 0.430 for personal, organizational, workplace, design and task factors respectively. The structural equation regression model showed that human factors and incident frequency was statistically significant with a path coefficient of 0.59, -0.79, 0.63, -0.60 and -0.31 for personal, organizational, workplace, design and task factors respectively.The research concluded that engineered human factors would lead to improved safety performance, structural integrity and reduction in incident frequency rate. The study recommended that national, international agencies, government, professional bodies and companies should focus on human factor engineering in delivering products with structural integrity, boost performance and reduce lost time injuries and occupational diseases.

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121-127

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May 2025

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© 2025 Trans Tech Publications Ltd. All Rights Reserved

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[1] O.S Fadun & T.S Saka, Risk management in the construction industry analysis of critical success factors of construction projects in Nigeria. International Journal of Development and Management Review (INJODEMAR) Vol. 13 No.1. (2018)

Google Scholar

[2] R.A Khanin, What is piping: 12 phases pf project implementation in Oil and Gas. A blog for piping engineers. www.whatispiping.com (2021)

Google Scholar

[3] B.L Tanko, F.B Abdullah, Z.M Ramly and W.I Enegbuma, An implementation framework of value management in the Nigerian construction industry VL - 8. Built Environment Project and Asset Management 10.1108/BEPAM-09-2017-0078 (2018)

DOI: 10.1108/bepam-09-2017-0078

Google Scholar

[4] ILO DW4SD resource platform. https://www.ilo.org/global/topics/dw4sd/themes/osh/lang--en/index.htm (2016)

Google Scholar

[5] U Ali, The history of the oil and gas industry from 347 AD to today, Offshore technology. https://www.offshore-technology.com/comment/history-oil-gas/?cf-view (2019)

Google Scholar

[6] A. Rosmariani, A. Suraji and Y. Latief, Study of the causal factors of construction projects vulnerability to accidents. International Journal of Innovative Technology and Exploring Engineering 8(6), (2019) P 711-716

Google Scholar

[7] OGP Human factors engineering in projects Report No. 454. International Association of Oil and Gas Producers publication (2011).

Google Scholar

[8] American Welding Society, Standard Welding Terms and Definitions, 12th Edition (2020)

Google Scholar

[9] N. Isaac, Welding, Panacea for Nigeria's rapid industrialization, Socio-economic development. https://sciencenigeria.com/welding-panacea-for-nigerias-rapid-industrialisation-socio-economic devt/#:~:text=Welding%2C%20Panacea%20For%20Nigeria%E2%80%99s%20Rapid%20Industrialisation%2C%20Socio%2Deconomic%20Devt (2022].

Google Scholar

[10] T.M Gourd, Principles of welding technology. CRC Press (2008).

Google Scholar

[11] S.A Kvalheim, and O. Dahl, Safety compliance and safety climate: A repeated cross sectional study in the Oil and Gas industry. Journal of Safety Research, 59, 33-41.doi:10.1016/j.jsr.2016.10.006. (2016).

DOI: 10.1016/j.jsr.2016.10.006

Google Scholar

[12] P.U Okoye, C.C Mbakwe and E. N Igbo, Modeling the Construction Sector and Oil Prices toward the Growth of the Nigerian Economy: An Econometric Approach 6(1), 16; https://doi.org/10.3390/economies6010016 (2018).

DOI: 10.3390/economies6010016

Google Scholar

[13] R.B Blackmon and A.K Gramopadhye, improving construction safety by providing positive feedback on backup alarms. Journal of Construction Engineering and Management, 121, 166–171. doi.org/10.1061/(ASCE)0733-9364, (1995) 121:2(166).

DOI: 10.1061/(asce)0733-9364(1995)121:2(166)

Google Scholar

[14] J.E Martin J.E, T. Rivas and J.M Matias, A Bayesian network analysis of workplace accidents caused by falls from a height. Safety Science, 47(2), (2009) pp.206-214. doi.org/

DOI: 10.1016/j.ssci.2008.03.004

Google Scholar

[15] C.K Hon, A.P Chan and M.C Yam, Relationships between safety climate and safety performance of building repair, maintenance, minor alteration, and addition (RMAA) works. Safety science, 65, (2014) 10-19.

DOI: 10.1016/j.ssci.2013.12.012

Google Scholar

[16] T. Aksorn and B.H.W Hadikusumo, Critical success factors influencing safety program performance in Thai construction projects. Safety Science, 46(4), (2008) 709 727

DOI: 10.1016/j.ssci.2007.06.006

Google Scholar

[17] J.C.R Romero, M.C Rubio and G. Hernandez, Analysis of Construction Equipment Safety in Temporary Work at Height. Journal of Construction Engineering and Management 139(1): (2013). 9-14

DOI: 10.1061/(ASCE)CO.1943-7862.0000567

Google Scholar

[18] P.X.W Zou, S. Redman and S. Wildon, Case Studies on Risk and Opportunity at Design Stage of Building Projects in Australia: Focus on Safety. Architectural Engineering and design management journal, 4(3-4):221-238. (2008)

DOI: 10.3763/aedm.2008.0082

Google Scholar

[19] R.M Choudhry, Behaviour-based safety on construction sites: A case study of Accident Analysis and Prevention 70(2008) 14-23

DOI: 10.1016/j.aap.2014.03.007

Google Scholar

[20] H. Lingard and S. Rowlinson, Occupational Health and Safety in Construction Project management; UK Taylor & Francis. (2005)

Google Scholar

[21] C.M Tam, S.X Zeng and Z.M Deng, Identifying elements of poor construction safety management in China, Safety Science, Volume 42, Issue 7, (2004), 569-586.

DOI: 10.1016/j.ssci.2003.09.001

Google Scholar

[22] D.L Goetsch, Occupational safety and health. Pearson Education India (2021).

Google Scholar

[23] M. Gangolells, M. Casals, N. Forcada, X. Roca, and A. Fuertes, Mitigating construction safety risks using prevention through design. Journal of safety research, 41(2), (2010), 107-122.

DOI: 10.1016/j.jsr.2009.10.007

Google Scholar

[24] V.V Khanzode, J. Maiti and P.K Ray, Occupational injury and accident research: A comprehensive review. Safety science, 50(5), (2012), 1355-1367.

DOI: 10.1016/j.ssci.2011.12.015

Google Scholar

[25] K. Mearns, S. Whitaker S and R. Flin, Safety climate, safety management practice and safety performance in offshore environments. Safety science, 41(8), (2003), 641-680.

DOI: 10.1016/s0925-7535(02)00011-5

Google Scholar

[26] S. Oah, R. Na and K. Moon, The influence of safety climate, safety leadership, workload, and accident experiences on risk perception: A study of Korean manufacturing workers. Safety and health at work, 9(4), (2018), 427-433.

DOI: 10.1016/j.shaw.2018.01.008

Google Scholar