Articles
DOI DOI: 10.62441/actainnovations.v63i.1083

MODELLING THE FREQUENCY AND VOLUME OF OIL SPILLS AND ENVIRONMENTAL POLLUTION

Abstract

An analysis has been carried out of the frequency of oil and oil waste spills in the Caspian Sea over the last 50–55 years, using satellite monitoring. The results of numerous studies indicate that the cause of oil spills is the wear and corrosion of oil pipelines. According to the research presented in this article, both anthropogenic and natural oil spills are observed in the Caspian Sea. The article highlights the potentially dangerous consequences of hydrogen sulphide (H₂S) leaks within the Kazakh sector of the Caspian Sea. It   emphasizes  that water and air pollution resulting from such leaks can lead to the death of marine organisms, a decline in biodiversity and the destruction of ecosystems. Particular attention is paid to the vulnerability of the Caspian Sea, whose ecosystem is already under pressure from industrial activity. It is noted that H₂S leaks can disrupt fish reproduction, damage fisheries and negatively affect the health of people living near the fields. There is a need for sustainable engineering solutions and materials to ensure the safety and durability of pipelines at the Kashagan field, which is characterised by extreme operating conditions (aggressive environment, high concentrations of hydrogen sulphide and carbon dioxide, high pressures). A key solution is the use of bimetallic pipes with a corrosion-resistant inner layer, as well as composite materials to enhance corrosion resistance. Particular attention is paid to welding technologies that prevent the formation of microcracks, and to the heat treatment of pipes to eliminate residual stresses. The use of innovative methods for monitoring and diagnosing the condition of infrastructure, including remote monitoring systems and automated control systems, is emphasised to ensure safety and minimise the risk of leaks.

How to Cite

Nurbayeva, F., Syrlybekkyzy , S., Ahmadi , M. H., Iskakov , B., Dedova, T., Merekeyev, A., … Jumasheva, K. (2026). MODELLING THE FREQUENCY AND VOLUME OF OIL SPILLS AND ENVIRONMENTAL POLLUTION. ACTA INNOVATIONS, 63, 82–92. https://doi.org/10.62441/actainnovations.v63i.1083

References

  1. 1. Aerial surveillance of oil spills at sea, Technical Information Document No. 1/p 1-42/ 2024
  2. 2. ITORF. The impact of oil pollution on fisheries and mariculture. https://www.itopf.org/knowledge-resources/data-statistics/statistics/). pp. 1–12. 2024
  3. 3. McKay, D.; Buist, I.A.; Mascarenhas, R.; Patterson, S. Oil Spill Processes and Models: Manuscript Report No. 8; Environment Canada: Ottawa, Ontario, Canada, 1980. https://publications.gc.ca/site/eng/9.890490/publication.html
  4. 4. McKay, D.; Buist, I.A.; Mascarenas, R.; Patterson, S. Oil Spill Processes and Models: Manuscript Report No. 8; Environment Canada: Ottawa, Ontario, Canada, 1980. https://publications.gc.ca/site/eng/9.890490/publication.html
  5. 5. McKay, D. A mathematical model of the behaviour of oil spills on water during natural and chemical dispersion; Environment Canada: Ottawa, Ontario, Canada, 1977.https://publications.gc.ca/site/eng/9.869275/publication.html
  6. 6. Delvin, G.A.L.; Sweeney, K.E. Natural dispersion of oil. Petroleum Chemistry. Environmental Pollution. 1988, 4, pp. 281–310. https://doi.org/10.1016/S0269-8579(88)80003-0
  7. 7. Delvin, G.A. Natural dispersion of oil by various sources of turbulence. In Proceedings of the International Conference on Oil Spills, Tampa, Florida, USA, 29 March – 1 April 1993; pp. 415–419. https://doi.org/10.7901/2169-3358-1993-1-415
  8. 8. Tkalich, P.; Chan, E.S. Vertical mixing of oil droplets by incoming waves. March. Environmental Pollution. Byk. 2002, 44, pp. 1219–1229. https://doi.org/10.1016/S0025- 326X(02)00178-9
  9. 9. Visser A.V. Use of random walk models to simulate the vertical distribution of particles in a turbulent water column. March. Ecology. Ser. 1997, 158, pp. 275–281 https://doi.org/10.3354/meps158275
  10. 10. Concave. Information on marine fuel // Available at: https://www.concawe.eu/wp- content/uploads/2017/01/marine_factsheet_web.pdf (2017, accessed 22 November 2023).
  11. 11. Stever, W.; McKay, D. Evaporation rates of hydrocarbon and petroleum mixtures during spills. Environmental Science and Technology. 1984, 18, 834–840. https://pubs.acs.org/doi/10.1021/es00129a006
  12. 12. Khora T.S., Agarwal A.K. Effect of varying the compression ratio on combustion, performance and atmospheric emissions of an engine running on hydrogen-enriched compressed natural gas // Journal of Natural Gas Science and Technology. – 2016. – Vol. 31. – pp. 819–828.
  13. 13. https://www.kmg.kz/
  14. 14. McKay, D.; Patterson, S.; Trudel, K. A mathematical model of oil spill behaviour. Report to the Research and Development Division, Environmental Emergency Division, Environmental Impact Control Directorate; Environment Canada: Ottawa, Ontario, Canada, 1980.
  15. 15. https://www.kazhydromet.kz/
  16. 16. Kolpak, R.; Plutchak, N.; Sterns, R. The Fate of Oil in the Aquatic Environment – Phase II, A Dynamic Mass Balance Model of Spilled Oil; University of Southern California: Washington, D.C., USA, 1977.
  17. 17. Helifa, A.; Hill, P. S.; Lee, K. An integrated numerical approach to predicting the formation of oil-gas-mineral aggregates (OMAs) following oil spills in the aquatic environment. International Conference on Oil Spills. Proc. 2005, 873–877. https://doi.org/10.7901/2169-3358- 2005-1-873
  18. 18. ITOPF, “Tanker Oil Spill Statistics for 2023” https://www.itopf.org/knowledge- resources/data-statistics/statistics/.
  19. 19. K. M. Anderson and R. P. Labelle, “Updated data on comparative accident rates for offshore oil spills”, Science of Spills. Technology. Bull., Vol. 6, No. 5–6, pp. 303–321, Oct. 2000, doi: 10.1016/S1353-2561(01)00049-4.
  20. 20. David Trilling, “Turkmenistan: Satellites detect oil spills in the Caspian Sea”, https://eurasianet.org/turkmenistan-satellites-expose-oil-spills-on-caspian-sea.
  21. 21. A. Yu. Ivanov, “Detection and analysis of oil spills using remote sensing in the Caspian and Barents Seas”, J. Oceanol. Ed., vol. 47, no. 5, pp. 52–64, 2019, doi: 10.29006/1564-2291.JOR-2019.47(5).4.
  22. 22. Z. Sha, K. V., K. A., S. Nurakynov and U. M., “Mapping the frequency of oil spills in the Caspian Sea using Sentinel-2 optical imagery”, Journal of Physics and Mathematics, vol. 3, pp. 183–190, 2020, doi: 10.32014/2020.2518-1726.52.
  23. 23. E. Bayramov, M. Kada and M. Buchroytner, “Monitoring of oil spill hotspots, modelling of pollution probability and assessment of impact on the Caspian Sea coast using Sentinel-1, Landsat-8, Radarsat, Envisat and ERS”, J. Oper. Oceanogr., 11, No. 1, pp. 27–43, 2018, doi: 10.1080/1755876X.2018.1438343.