Statistical detection of hydrocarbon deposit boundaries on land using multispectral imagery and field spectrometry data
Heading:
1Arkhipov, OI, 2Kuznetsova, AV, 3Senko, OV, 4Stankevich, SA, 4Titarenko, OV 1State institution «Scientific Centre for Aerospace Research of the Earth of the Institute of Geological Sciences of the National Academy of Sciences of Ukraine», Kyiv, Ukraine 2N.M. Emanuel Institute of Biochemical Physics RAS, Moscow, Russia 3Dorodnicyn Computing Center Russian Academy of Sciences, Moscow, Russia 4State institution «Scientific Centre for Aerospace Research of the Earth of the Institute of Geological Sciences of the National Academy of Sciences of Ukraine», Kyiv, Ukraine |
Kosm. nauka tehnol. 2009, 15 ;(6):44-48 |
https://doi.org/10.15407/knit2009.06.044 |
Publication Language: Russian |
Abstract: We consider capabilities of oil and gas deposit outlines mapping by multispectral remote sensing, geological and geophysical data and vegetation field spectrometry with modern recognition methods.
|
Keywords: multispectral remote sensing, oil and gas deposit, spectrometry |
References:
1. Arkhipov A. I., Stankevich S. A., Titarenko O. V. Defining the boundary of the contour of hydrocarbon deposits on the basis of statistical separation of the vegetation cover spectrograms. In: Degassing of the Earth: Geodynamics, Geofluids, Oil, Gas and their Paragenesis: Proc. of the All-Russian Conf., April 22–25, 2008, Moscow, 33–36 (GEOS, Moscow, 2008) [in Russian].
2. Arkhipov O. I., Stankevich S. A., Tytarenko O. V. Mapping the boundaries of oil and gas bearing areas based on terrestrial spectrometry data. Theoretical and applied aspects of geoinformatics [Teoretychni ta prykladni aspekty geoinformatyky], 123–131 (Vseukrai'ns'ka asociacija geoinformatyky, Kyiv, 2009) [in Ukrainian].
3. Arkhipov O. I., Tovstyuk Z. M., Popov M. A., et al. Practical implementation of the methodology of finding hydrocarbon deposits on land using aerospace information. In: 7th Intern. conf. «Crimea 2007»: Abstracts, 33–38 (Mykolaivka, 2007) [in Ukrainian].
4. Zhuravlev Yu. I., Ryazanov V. V., and Sen’ko O. V. Recognition. Mathematical Methods. Program System. Practical Applications, 176 p. (Fazis, Moscow, 2006) [in Russian].
5. Movchan J. I., Kanevsky V. A., Semichaevsky V.D., et al. Phytoindication in Remote Sensing, 310 p. (Naukova Dumka, Kiev, 1993) [in Russian].
6. Stankevich S. A., Sakhatsky A. I., Kozlova A. A. Land cover classification on the basis of the full set of normalized band-difference indexes and additional context features. Kosm. nauka tehnol., 14 (2), 28–31 (2008) [in Ukrainian].
https://doi.org/10.15407/knit2008.02.028
https://doi.org/10.15407/knit2008.02.028
7. Stankevich S. A., Titarenko O. V. Remote Sensing and Geophysical Data Fusion Technique for Oil and Gas Prospecting. Scientific Notes of Taurida V.Vernadsky National University, 22 (61), No.1, 105–113 (2009) [in Ukrainian].
8. Stankevich S. A., Arkhipov A. I., Titarenko O. V. Registration of the spectral phyto-indicative anomaly over oil and gas fields. Proceedings of the 10 International Conference on Pattern Recognition and Information Processing (PRIP'2009), 368–370 (Minsk, 2009).