Geological interpretation of the data integration multispectral satellite imagery and geological and geophysical data for predict oil and gas zones at the regional level (in the example of the North-West shelf of the Black Sea)
DOI:
https://doi.org/10.36023/ujrs.2015.7.63Keywords:
data integration, forecasting oil and gas zones, geological structuresAbstract
The analysis and selection criteria for evaluating the offshore oil and gas potential for the integration of geospatial data carried out in the article. As a result, data integration multispectral satellite imagery and geological and geophysical data obtained maps of the spatial distribution of the integral indicator of oil and gas potential at the regional level for the North-Western Black Sea shelf. These data give an idea of the areas of oil and gas, as well as their affinity to trans-regional, regional faults and zones of decompression sedimentary rocks.
References
Galko, T. M. (2013). Criteria of forecasting oil and gas presence in the Ukrainian sector of the Azov and the Black seas. Geology and Mineral Resources of World Ocean. Iss. 1, 104-114.
Gozyk, P. F. (2007). Oil and gas prospective objects of Ukraine. Scientific and practical bases of searches for hydrocarbon deposits on the northwestern shelf of the Black Sea. Kyiv. ECMO Trading House.
Gozyk, P. F. (2010). Oil and gas perspectives of Ukraine. Theoretical and practical justification for the search for oil and gas in the waters of Ukraine. Kyiv. ECMO Trading House.
Petrovskiy, A. P. et al. (2005). New opportunities for studying the features of the geologists and assessing the prospects of oil of gas -bearing objects based on the use of the technology of integral interpretation of the complex of geophysical data. Geoinformatika. Iss. 3, 24–26.
Pererva, V. M. et al. (1994). New data on the fault-block structure of the North-West Shelf of the Black Sea according to aerospace-geneological studies (due to oil and gas). Geol. journ. Iss. 4–6, 78–84.
Popov, M. O. et al. (2015). Approach to the integration of remote and geological-geophysical data based based on the Dempster-Shafer evidence theory. Dopovidi NAN Ukrayiny. Iss. 4, 94–98.
Popov, M. O., Topolnitskiy, M. V. (2014). Object Classification in Multispectral/ Hyperspectral Aerospace Imagery Based on Dempster-Shafer Evidence Theory. Matematychni mashyny i systemy. Iss. 1, 58–69.
Popov, M. A. et al. (2012). The principles of geoinformation support of the problems of remote search for minerals. Uchenyye zapiski Tavricheskogo nats. Un-ta im. V. I. Vernadskogo. Vol. 25(64). Iss. 1. 177–190.
Sedlerova, O. V. (2008). Substantiation of integral technique for forecasts of petroleum-promising targets in the Ukrainian part of the Sea of Azov using remote sensing data. (Unpublished candidate thesis). Scientific Centre for Aerospace Research of the Earth of the Institute of Geological Sciences of the National Academy of Sciences of Ukraine, Kyiv, Ukraine (in Ukrainian).
Stankevych, S. A., Sedlerova, O. V. (2007). Integration of remote sensing and geological and geophysical spatial data in hydrocarbon exploration on the sea shelf. Heoinformatyka. Iss. 3. 77–81.
