Geodynamic zoning of the Sea of Azov shelf and environmental problems in oil and gas production.

Authors

  • Tetiana Yefimenko Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine https://orcid.org/0000-0002-0896-7449
  • Zinayda Tovstyuk Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine https://orcid.org/0000-0002-5600-6757
  • Stanislav Yesipovich Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine https://orcid.org/0000-0003-3784-9326
  • Olga Titarenko Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine https://orcid.org/0000-0001-5804-1022
  • Mykhailo Svideniuk Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine https://orcid.org/0000-0003-2167-3522
  • Alla Bondarenko Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine https://orcid.org/0000-0002-2257-6196
  • Olena Holovashchuk Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine https://orcid.org/0000-0002-5414-9041
  • Iryna Lazarenko Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine https://orcid.org/0000-0002-6203-5423

DOI:

https://doi.org/10.36023/ujrs.2020.24.167

Keywords:

shelf, tectonics, useful signal, Indolo-Kuban trough, Azov shaft, environmental safety, structural maps along reflecting horizons, Maykop stratum, mud volcanism, thermal field, intellectual integration, geodynamic zone, satellite imagery

Abstract

The algorithm for identifying geodynamic zones was based on an analysis of geological, geophysical, and tectonic maps of the Sea of Azov, a bathymetric map and oil and gas prospectivity data, structural maps for reflecting horizons in the Cretaceous, Maykop, Sarmatia, etc., geotechnical zoning maps, and power maps, taking into account the features spectral characteristics of the water surface in satellite images.
The spatial distribution of the surface temperature of the Sea of Azov was obtained using the MODIS AQUA survey equipment for the last three years (months - April, May, September).
In order to clarify the boundaries of geodynamic zones, intellectual integration of geospatial data was carried out, the result of which was the location scheme of geodynamic zones on the shelf of the Sea of Azov. The creation of a model for generating a useful signal on satellite images of the sea surface with the aim of assessing their environmental safety during oil and gas production is justified.
Based on the results of processing all the available information, the following was established: the greatest environmental risks may arise during the exploitation of deposits in the southern geodynamic zone, it is safer, and in the environmental respect, oil and gas exploration is the geodynamic zone in the central part of the sea. The safest zones include the northern coastal shelf zone.

References

Du, H., Jiang, W., Anand, S., Morley, J., Hart, G., Jackson, J. (2011). Ontology-based approach for geospatial data integration. Proceedings of the 25th International Cartographic Conference (ICC 2011). Paris: International Cartographic Association. P. 119–128.

Flowerdew, R., Maguire, D .J., Goodchild, M. F., Rhind, D. W. (Eds). (1991).Spatial data integration. Geographic Information Systems: Principles and Applications / London: Longman,. P. 375–387.

Giuliani, G., Nativi, S., Lehmann, A., Ray, N. (2012). WPS mediation: An approach to process geospatial data on different computing backends. Computers & Geosciences, 47 (10). 20–33. https://doi.org/10.1016/j.cageo.2011.10.009

Gnatenko, G. I., Kutniy, V. A., Naumenko, P. I., Sobolevsky, Yu. V., Shnyukov, E. F. (1986). Mud volcanoes of the Kerch-Taman region. Atlas. Kiev. Naukova dumka. (in Russian).

Loeva, I. D., Orlova, I. G., Pavlenko, M. Yu., Ukrainian, V. V., Popov, Yu. I., Denga, Yu. M. (2008). Section II. Ecological state of the environment. Black Sea Ecological Bulletin, December 2008, 4 (30). INVAC.Odessa. P. 26–37. (in Ukrainian).

Orlova, I. G. (2018). Report on the Environmental Impact Assessment of the Planned Activity for Continued Industrial Production of Natural Gas at the Strelkovy Gas Field by the Joint Stock Company Chornomornaftogaz. NDU Ukrainian Center for Marine Ecology (UkrNTSEM). Odessa. (in Ukrainian). Retrieved from http://www.eia.menr.gov.ua/uploads/documents/1022/reports/05a219bcb9e31cb374cf0b4e619fb738.pdf

Popov, M. A., Stankevich, S. A., Markov, S. Yu., Zaitsev, A. V., Kudashev, E. B. (2012). Solution of oil and gas search problems using heterogeneous spatial information / // Proceedings of the XV All-Russian Joint Conference “Internet and Modern Society” (IMS-2012). St. Petersburg: St. Petersburg National Research University of Information Technologies, Mechanics and Optics. P. 94–101. (in Russian). https://doi.org/10.17587/mau.17.193-198

Shnyukov, E. F., Orlovsky, G. N., Usenko, V. P., Grigorjev, A. V., Gordijevich, V. A. (1974). Geology of the Sea of Azov. Kiev. Naukova Dumka.

Shnyukov, E. F., Shestopalov, V. M., Yakovlev, E. A., Babichenko, V. N., Bajer, R. A., Barshchevski, N., E. ... Yzvin, L. S. (1993). Methods of marine geological research. Ecological geology of Ukraine. Reference manual. Kiev. Naukova Dumka., P. 314–315. (in Russian).

Stankevich, S. A., Popov, M. O., Zaitsev, O.V., Markov, S. Yu., Kudashev, E. B., Dyshlik, O. P. (2012). Integration of heterogeneous spatial information in the solution of oil and gas exploration problems. Modern achievements of geodetic science and production, 2 (24). 105–110. (in Ukrainian).

Steed, С. А. Ricciuto, D. M., Shipman, G., Smith, B., Thornton, P. E., Wang, D., Shi, X., Williams, D. N. (2013). Big data visual analytics for exploratory Earth system simulation analysis. Computers & Geosciences, 61 (12). 71–82. https://doi.org/10.1016/j.cageo.2013.07.025

Published

2020-02-28

Issue

Section

Earth observation data applications: Challenges and tasks