Analysis of Occupational Hazards and Lateral Environmental Pollution in the Construction Phase of Yadavaran Oil Field

Document Type : Research Paper


1 Environment Department, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran

2 Department of Industrial Management, Faculty of Management and Economic, Tarbiat Modares University, Tehran, Iran

3 Faculty of Environment, University of Tehran, Tehran, Iran


Occupational hazards in the petroleum industry have always been among the major problems in the various phases of construction and installation, which sometimes cause environmental damage. The present study aims to evaluate the risk of occupational accidents in the petroleum industry in the construction phase (2010-2015) in one of the largest oil fields in Iran, namely the Yadavaran Oil Field in Khuzestan Province, and also discuss the lateral environmental damage. The environmental damage such as air, soil, and water pollution caused by occupational accidents were identified, and the distribution and type of activity were analyzed. For this purpose, the Failure Mode and Effects Analysis (FMEA) model was applied to evaluate the risk of occupational accidents. A total of 47 occupational accidents were identified during the 6-year construction phase of this oil field. The data was collected and underwent statistical analysis and risk assessment based on the location and hazards clustering, which is the main novelty of the article. According to the results, the average number of risk priorities for the observed occupational accidents was 212.  Also, the occupational accidents were categorized by the type of accidents, and several corrective measures suitable for each type of accident were suggested. Based on these suggestions, the corrective Risk Priority Number (RPN) was expected to be about 133.2. As a result of these corrections, the risk reduction was expected to be 37% of the initial value. The changes introduced were low-cost, continuous, and periodic measures with positive effects on this oil field. 


Main Subjects

[1] Asad, M.M., bin Hassan, Sherwani, F., Sohu, S., Lakhiar, M.T. (2019). Oil and gas disasters and industrial hazards associated with drilling operation: An extensive literature review. 2nd International conference on computing, Mathematics and engineering technologies-iCoMET 2019, IEEE.
[2] Omidvar, B., R. Azizi, Abdollahi, Y. (2017). Seismic risk assessment of Power Substations. Environmental energy and economic research, 1(1), 43-60.
[3] Oil, I.s.M.o. (2020). Report on occupational safety in the upstream industries of the Ministry of Oil. Available from:
[4] Jozi, S. Saffarian, S. (2011). Environmental risk analysis of Abadan gas power plant using TOPSIS method. Journal of Environmental Studies, 37 (53), 53-66.
[5] Ebrahimzadeh, M., Halvani, Gh., Mortazavi, S.R. (2011). Assessment of potential hazards by failure modes and effect analysis (FMEA) method in Shiraz oil refinery. Occupational medicine quarterly journal, 3(2), 16-23.
[6] Mehrzad, A.Z. (2011). Assessing potential risks of Shiraz Oil refining company by FMEA method and its impacts. Occupational medicine, 3(2). 16-23.
[7] Mirzaei Siroui, H., Givehchi, S. Nasrabadi, M. (2017). Analyzing employment of behavioral safety system on accident reduction in the Persian Gulf star oil company, 4th International conference on environmental planning and management. Graduate faculty of environment: University of Tehran.
[8] Ramezani Amiri, A. Dehghanzadeh Reyhani, R. (2017). Analyzing human occupational accidents by tripod beta method in one of the South Pars Refineries in 2014, International conference of HSE experts in oil, petroleum, steel, and cement industries, and civil projects, Hamian Sanat Avina Co.
 [9] Mete, S. (2019). Assessing occupational risks in pipeline construction using FMEA-based AHP-MOORA integrated approach under Pythagorean fuzzy environment. Human and ecological risk assessment: An international journal, 25(7) 1645-1660.
 [10] Gharedaghi, G. Omidvari, M. (2019). A pattern of contractor selection for oil and gas industries in a safety approach using ANP-DEMATEL in a Grey environment. International journal of occupational safety and ergonomics, 25(4) 510-523.
[11] Mukhtar, M.Y.M., Yusof, A.M. Isa, M.L.M. (2020). Knowledge, attitude and practice on occupational safety and health among workers in petrochemical companies. IOP conference series: Earth and environmental science. IOP publishing.
 [12]. Shokouhi, Y., Nassiri, P., Mohammadfam, I., Azam, K. (2019). Predicting the probability of occupational fall incidents: a Bayesian network model for the oil industry. International journal of occupational safety and ergonomics, 1-10.
[13]. Kudryavtsev, S.S., Yemelin,P.V. Yemelina,N.K. (2018). The development of a risk management system in the field of industrial safety in the Republic of Kazakhstan. Safety and health at work, 9(1), 30-41.
[14] Wang, L. Yang, Z. (2018). Bayesian network modelling and analysis of accident severity in waterborne transportation: A case study in China. Reliability engineering and system safety, 180, 277-289.
 [15] Mohammadnazar, D. Samimi, A. (2019). Nessacities of studying HSE management position and role in Iran oil industry. Journal of chemical reviews. 1(4). 252-259.
 [16] Chileshe, N., Hosseini, M.R. Jepson, J. (2016). Critical barriers to implementing risk assessment and management practices (RAMP) in the Iranian construction sector. Journal of construction in developing countries, 21(2) 81-110.
[17] Wang, B., Wu, C., Huang, L., Zhang, L., Kang, L., Gao, K. (2018). Prevention and control of major accidents (MAs) and particularly serious accidents (PSAs) in the industrial domain in China: Current status, recent efforts and future prospects. Process safety and environmental protection, 117, 254-266.
[18] Silva, E.C., (2017). Accidents and the technology. Journal of loss prevention in the process industries, 49, 319-325.
[19] Amiri, M., Ardeshir, A. Zarandi, M.H.F. (2017). Fuzzy probabilistic expert system for occupational hazard assessment in construction. Safety science. 93. 16-28.
 [20] Jørgensen, K. (2016). Prevention of “simple accidents at work” with major consequences. Safety science, 81, 46-58.
[21] Darvishi, S., Jozi, S.A., Rezaian, S. (2020). Environmental risk assessment of dams at constructional phase using VIKOR and EFMEA methods (Case study: Balarood Dam, Iran). Human and ecological risk assessment: An international journal, 26(4) 1087-1107.
[22] Rezaee, M.J., Yousefi, S., Eshkevari, M., Valipour, M., Saveri, M.(2020). Risk analysis of health, safety and environment in chemical industry integrating linguistic FMEA, fuzzy inference system and fuzzy DEA. Stochastic environmental research and risk assessment, 34(1) 201-218.
[23] Padash, A. Ghatari, A.R. (2020). Toward an innovative green strategic formulation methodology: Empowerment of corporate social, health, safety and environment. Journal of cleaner production, 121075.
[24] Akbari, R., Dabbagh, R. Ghoushchi, S.J. (2020). HSE risk prioritization of molybdenum operation process using extended FMEA approach based on Fuzzy BWM and Z-WASPAS. Journal of intelligent and fuzzy systems, 38(4), 5157-5173.
[25] Nouri, J., Omidvari, M. Tehrani, S. (2010). Risk assessment and crisis management in gas stations. International journal of environmental research, 4(1), 137-142.
[26] McDermott, R., Mikulak, R.J. Beauregard, M. (1996). The basics of FMEA. Steiner Books.
[27] Fattahi, R. Khalilzadeh, M. (2018). Risk evaluation using a novel hybrid method based on FMEA, extended MULTIMOORA, and AHP methods under fuzzy environment. Safety science, 102, 290-300.
[28] Chiozza, M.L. Ponzetti, C. (2009). FMEA: a model for reducing medical errors. Clinica chimica acta, 404(1) 75-78.
[29] Uchoa, J.G.L., de Sousa, M.J.A., Silva,L.S.L.,de Oliveira Cavaignac, A.L (2019). FMEA method application based on occupational risks in the construction industry on work at height: A theoretical contribution. International journal of advanced engineering research and science, 6(10).
[30] Mangeli, M., Shahraki, A. Saljooghi, F.H. (2019). Improvement of risk assessment in the FMEA using nonlinear model, revised fuzzy TOPSIS, and support vector machine. International journal of industrial ergonomics, 69, 209-216.