An approach to integrating the remotely sensed, geological, and geophysical data using the Dempster–Shafer mathematical theory

Authors

  • M.A. Popov
  • S.A. Stankevich
  • M.V. Topolnitsky
  • O.V. Sedlerova

DOI:

https://doi.org/10.15407/dopovidi2015.04.094

Keywords:

Dempster–Shafer mathematical theory, geological and geophysical data, integrating

Abstract

A new approach to the integration of remote and geological and geophysical data is proposed and substantiated on the basis the Dempster–Shafer mathematical theory of evidence, which allows one to integrate these data and to build maps of the spatial distribution function of similarity trust with positive structures (established deposits of hydrocarbons). This is the basis for the informational support of a decision-making on the perspective to find oil-gas deposits. The examples of its implementation on areas the Prykerchensky shelf of the Black Sea and in the Azov Sea are given. This approach allows one to quantitatively evaluate the degree of their perspectives and to pose specific problems for further exploration works.

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References

Popov M. A., Stankevich S. A., Markov S. Yu. et al. Uch. zap. Tavrich. nac. un-ta im. V. I. Vernadskoho, 2012, 25(64), No 1: 177–190. (in Russian)

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Shafer G. A mathematical theory of evidence. Princeton: Princeton Univ. Press, 1976.

Popov M. A., Topolnitskiy M. V. Dempster–Shafer evidence theory-based approach to object classification on multispectral images Proc. 10th Int. Conf. on Digital Technol. (DT’2014), Zilina, Slovakia, 9–11 July 2014. – Zilina: IEEE, 2014: 296–300.

Gozhyk P. F., Chebanenko I .I., Klochko V. P. et al. Oil-gas objects of Ukraine. A theoretical and practical ground of searches of oil and gas is in the aquatoriums of Ukraine, Kyiv: ECMO, 2010 (in Ukrainian).

Published

03.02.2025

How to Cite

Popov, M., Stankevich, S., Topolnitsky, M., & Sedlerova, O. (2025). An approach to integrating the remotely sensed, geological, and geophysical data using the Dempster–Shafer mathematical theory . Reports of the National Academy of Sciences of Ukraine, (4), 94–98. https://doi.org/10.15407/dopovidi2015.04.094