Application of visible and long-wave infrared satellite data for hydrocarbon deposits prospecting

SUMMARY In the course of the work, Sentinel-2 satellite data were sequentially processed in order to statistically estimate the probability of detecting spectral anomalies of vegetation. These anomalies can be caused by the presence of hydrocarbon deposits. It was carried out on the basis of calculating the values of a number of spectral indices of vegetation for 20 pairs of polygons constructed within known hydrocarbon deposits and beyond it on a homogeneous area covered by vegetation. Similar work was carried out for 25 pairs of polygons for the results of calculating the surface temperature according to the data of a long-wave infrared survey obtained by the image processing of the Landsat-8 satellite TIRS sensor. The spatial data, sensitivity, and frequency of the Sentinel-2 and Landsat-8 satellite imagery data were found to be effective in solving the problem of detecting spectral and temperature anomalies associated with hydrocarbon deposits. This approach can be recommended as a means of additional information in the exploration of hydrocarbon deposits in areas with known proven deposits and as an auxiliary in the performance of geological prospecting for the identification of new deposits.