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The hydrocarbon objects prediction by the complex of gravimagnetic and space data within the territory of Dniepr-Donets cavity

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Category: To the 15th anniversary of Geoinformatic Systems Department

Last Updated on 27 November 2012

Published on 23 November 2012

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Authors:

B.S. Busygin, Doctor of Sciences (Tech.), Professor, Head of the GIS Department of the State Higher Educational Institution “National Mining University”,Dnipropetrovsk, Ukraine

S.L. Nikulin, Candidate of Sciences (Geol.), Associate Professor, Doctorate of the GIS Department of the State Higher Educational Institution “National Mining University”, Dnipropetrovsk, Ukraine

Ye.P. Zatsepin, Assistant Lecturer of the GIS Department of the State Higher Educational Institution “National Mining University”, Dnipropetrovsk, Ukraine

Annotation:

The computer technology of complex gravitational, magnetic and satellite data integrated analysis for hydrocarbon objects searching is presented. The description of specialized system PARID is given. Results of experiments according to efficiency of the forecast of hydrocarbon objects by the integrated analysis of satellite and gravimagnetic data within territory of the Dnieper-Donetsk cavity (DDC) are resulted. The results confirming efficiency of the developed approach to forecasting of hydrocarbon objects within DDC, based on lineament analysis methods are described.

Bibliography:

1. Russian source: Nekrasov А.I. Ispolzovanie materialov distantsionnykh syemok dlia prognoza fliuidopronitsaemosti chekhla Zapadno-Sibirskogo basseyna А.I. Nekrasov, I.P. Sapchuk. URL: http://www.sovzondconference.ru/pdf_2008/0055_rus.pdf

2. Russian source: Atlas rodovyshch nafty і gazu Ukrainy. 6 volumes./ [nauk. redkol. М.М. Ivaniuty et al.]. – Lviv: UNGA, 1998. – 2342 p.

3. Russian source: Busygin B.S. GIS-tekhnologiia poiskov zolota v Zapadnom Uzbekistane / B.S. Busygin, S.L. Nikulin, V.А. Boikо // Geoinformatyka. – 2006. – No.1. – P. 44–49.

4. Pivnyak G. Geoinformation System RAPID as the Means of Solving the Problems of Environment and Nature Management / G. Pivnyak, B. Busygin, S. Nikulin // SWEMP 2010, Prague, Czech Republic. – 7 р.

5. Gonzalez R. C. Digital Image Processing (3rd ed.) / R. C.Gonzalez, R. E.Woods. – Prentice Hall, 2008. – 954 p.

6. Borg I. Modern Multidimensional Scaling: theory and applications (2nd ed.) / I. Borg, P. Groenen. – Springer-Verlag, 2005. – 614 p.

7. Kantardzic M. Data Mining: Concepts, Models, Methods, and Algorithms. – John Wiley & Sons, 2003. – 343 p.

8. Busygin B. The methodology of oil and gas deposits prognosis by space and geophysical data / B. Busygin, S. Nikulin // 71rd EAGE conference, 2009. – 1 elektron. opt. disk (DVD-ROM). – 4 p.

9. Russian source: Busygin B.S. Metod trekhmernoy triangulyatsyi v zadachakh klasternogo analiza / B.S. Busygin, E.P. Zatsepin // Iskusstvennyi intellekt. – 2010. – No.1 . – P. 16–24.

10. Ward J.H. Hierachical grouping to optimize an objective function. – J. Am. Statist., 1963, Assoc. 58, pp. 236-244.

11. Russian source: Kolichestvennaia otsenka perspektiv neftegazonosnosti territorii na osnove kompleksnoy obrabotki materialov kosmicheskikh i geofizicheskikh syemok / V.I. Gornyu, S.G. Kritsuk, I.Sh. Latypov, А.А. Tronin // Sovremennye problemy distantsionnogo zondirovaniia Zemli iz kosmosa. – 2008, No.8. – Т.1 – P. 349–355.

12. Canny J.F. A computational approach to edge detection / J.F.Canny // IEEE Trans Pattern Analysis and Machine Intelligence, 1986. – No. 8. – P. 679–698.

13. Russian source: Busygin B.S. Raspoznavanie obrazov pri geologo-geofizicheskom prognozirovanii / B.S. Busygin, L.V. Miroshnichenko. – Dnepropetrovsk: Izd-vo Dnepropetr. un-tа, 1991. – 168 p.

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