Risk management in the environmental management system of an oil refinery
DOI:
https://doi.org/10.15243/jdmlm.2025.122.7369Keywords:
environmental management system, environmental risk, integrated management system, performance indicators, risk-oriented approachAbstract
Slavneft-YANOS was one of the first in Russia to obtain the ISO 14001 compliance certificate for the Environmental Management System (EMS). This quality standard has the highest requirements for environmental management, environmental protection, and environmental safety. The paper presents the industry-specific features of the introduction of a risk-oriented approach to the EMS of oil refineries. It also uses fuzzy logic to describe analysis mechanisms and methods for assessing the risks of failure to meet the performance indicators of the EMS. The main advantage of fuzzy control in EMS is that it provides an effective means of mapping uncertainties and inaccuracies because the fuzzy logic on which control is based is identical to human thinking as opposed to traditional logical systems. Fuzzy control proves most useful as part of EMS performance analysis when processes become difficult to evaluate using common quantitative methods or when available information sources are interpreted inaccurately and uncertainly.
References
Asai, K., Sugeno, M. and Terano, T. 1989. Applied Fuzzy Systems. Academic Press. https://doi.org/10.1016/B978-0-12-685242-4.50002-6
Chen, Q., Jia, Q., Yuan, Z. and Huang, L. 2014. Environmental risk source management system for the petrochemical industry. Process Safety and Environmental Protection 92(3):251-260. https://doi.org/10.1016/j.psep.2013.01.004
Dorozhkina, T.V., Krutikov, V.K. and Alekseeva, E.V. 2014. Risk Management. Textbook, Kaluga: "Vash Dom" Publ. House, p. 233 (in Russian).
Fathi, F., Sheikhzeinoddin, A. and Talebnejad, R. 2020. Environmental and economic risk management of seed maize production in Iran. Journal of Cleaner Production 258:120772. https://doi.org/10.1016/j.jclepro.2020.120772
Fedoseeva, R.N. and Kryukova, O.G. 2008. Risk Management of an Industrial Enterprise. Experiences and Recommendations. Moscow: Ekonomika, p. 125 (in Russian).
Filina, F.N. 2008. Risk Management. Moscow: GrossMedia ROSBUKh, 232 p (in Russian).
Fu, Y., Sun, Q. and Wennersten, R. 2020. Effectiveness of the CVaR method in risk management in an integrated energy system. Energy Reports 6(9):1010-1015. https://doi.org/10.1016/j.egyr.2020.11.084
Hummel, K., Laun, U. and Krauss, A. 2021. Management of environmental and social risks and topics in the banking sector - An empirical investigation. The British Accounting Review 53(1):100921. https://doi.org/10.1016/j.bar.2020.100921
Ifaei, P., Safder, U. and Yoo, C.K. 2019. Multi-scale smart management of integrated energy systems, Part 1: Energy, economic, environmental, exergy, risk (4ER) and water-exergy nexus analyses. Energy Conversion and Management 197:111851. https://doi.org/10.1016/j.enconman.2019.111851
ISO 9000:2015. 2015. Quality management systems - Fundamentals and vocabulary.
Lahuta, P., Kardos, P. and Hudakova, M. 2021. Integrated risk management system in transport. 4th International Scientific Conference on Sustainable, Modern and Safe Transport. Transportation Research Procedia 55:1530-1537. https://doi.org/10.1016/j.trpro.2021.07.142
Likhterova, N.M. 2004. Trends in development of exhaustive refining of crude oil in Russia. Chemistry and Technology of Fuels and Oils 40:121-127. https://doi.org/10.1023/B:CAFO.0000031889.13372.e3
Lin, S., Shen, S., Zhou, A. and Xu, Y. 2021. Risk assessment and management of excavation system based on fuzzy set theory and machine learning methods. Automation in Construction 122:103490. https://doi.org/10.1016/j.autcon.2020.103490
Ma, S., Zhang, S., Chen, Y. and Zheng, H. 2013. Design and realization of a major environmental risk source management system. Procedia Environmental Sciences 18:372-376. https://doi.org/10.6028/NIST.SP.800-30
Penman, T.D., Cirulis, B. and Marcot, B.G. 2020. Bayesian decision network modeling for environmental risk management: A wildfire case study. Journal of Environmental Management 270:110735. https://doi.org/10.1016/j.jenvman.2020.110735
Rodionova, M.A. and Grigoriev, M.G. 2015. Organization of QMS process risk management procedure. Young Scientist 11:963-968, https://moluch.ru/archive/91/19453/.
Shlegel, O.V. 2011. Management of environmental risks at oil industry enterprises, Rossiiskoe Predprinimatel'stvo 11-2 (196):92-97.
Shtovba, S.D. 2001. Introduction to Fuzzy Set Theory and Fuzzy Logic. http://matlab.exponenta.ru/fuzzylogic/book1/index.php.
Slavinskii, D.A. 2015. Analysis of new international requirements for environmental management systems in the context of Russian conditions. NIU ITMO Journal. Series: Economics and Environmental Management 4:335-341 (in Russian).
State Report "On the state and Environmental protection of the Russian Federation in 2020". 2020. The website of the Ministry of Natural Resources and Ecology of the Russian Federation. URL https://2020.ecology-gosdoklad.ru.
Stoneburner, G., Goguen, A. and Feringa, A. 2002. Risk management guide for information technology systems. National Institute of Standards and Technology. US Department of Commerce, Washington, DC: U.S. Government Printing Office. https://doi.org/10.6028/NIST.SP.800-30
Suarez-Paba, M.C. and Cruz, A.M. 2022. A paradigm shift in Natech risk management: Development of a rating system framework for evaluating the performance of industry. Journal of Loss Prevention in the Process Industries Volume 74, January 2022, 104615. https://doi.org/10.1016/j.jlp.2021.104615
Tsareva, S.A. and Yuzhakova, Yu.O. 2018. Performance assessment of the integrated management system at NPP "Burservis", Upravlenie kachestvom v obrazovanii i promyshlennosti, Compilation of works. Sevastopol': SevSU, pp. 140-146 (in Russian).
Zlobina, N.V., Viskov, M.M. and Tolstosheina, V.A. 2011. Modern tools for the development of quality management system of the organization : monograph. Tambov: TGTU Publ. House, 100 p (in Russian).
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