Remote Sensing and Geological/Geophysical Data Integration for Oil and Gas Prospecting

Article Sidebar

Cover

Main Article Content

Sergey A. Stankevich
Olga V. Titarenko

ანოტაცია

Model for remote sensing and geological/geophysical data integration based on Bayesian probabilistic inference is described. The proposed model has been tested on example of the Khukhra oil and gas condensate field territory in Ukraine. The results of testing are accorded well with previous geological forecasts.

PDF (English)
საკვანძო სიტყვები:
oil and gas prospectively, geospatial data integration, Bayesian probabilistic inference, Khukhra oil and gas condensate field.
გამოქვეყნებული: Mar 27, 2015

Article Details

როგორ უნდა ციტირება
Stankevich, S. A., & Titarenko, O. V. (2015). Remote Sensing and Geological/Geophysical Data Integration for Oil and Gas Prospecting. საქართველოს გეოფიზიკური საზოგადოების ჟურნალი, 17(A). Retrieved from https://ggs.openjournals.ge/index.php/GGS/article/view/1637
გამოცემა
ტომ. 17: PHYSICS OF SOLID EARTH
სექცია
სტატიები
PKPApplication::getCCLicenseBadge(https://creativecommons.org/licenses/by-nc/4.0)

წყაროები

1. Genesereth M. Data Integration: The Relational Logic Approach. Stanford, Morgan and Claypool Publishers, 2010, 110 p.

2. Challa S., Koks D. Bayesian and Dempster-Shafer Fusion. Sadhana, vol. 29, part 2, 2004, pp.145–176.

3. Stathaki T. Image Fusion: Algorithms and Applications. L., Academic Press, 2008, 500 р.

4. Wache H., Vögele T., Visser T., Stuckenschmidt H., Schuster H., Neumann G., Hübner S. Ontology-Based Integration of Information – a Survey of Existing Approaches. Proc. the IJCAI-01 Workshop on Ontologies and Information Sharing. Seattle, American Association for Artificial Intelligence, 2001, pp.108-117.

5. Petovsky A.P., Gazhenko N.S., Krupsky B.L., Gladun V.V., Cherpil P.M., Tsyoha O.G., Bodlak P.M., Oblekov G.I., Polyn I.I. New Possibilities for Oil and Gas Fields Geology Aspects Studying and Prospectivity Evaluation Using Integrated Interpretation of Geological/Geophysical Data. Geoinformatics, No 3, 2005, pp. 24-26, (in Russian).

6. 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, vol. 22(61), No1, 2009, pp.105-113, (in Ukrainian).

7. Schallehn E., Sattler K.-U., Saake G. Efficient Similarity-Based Operations for Data Integration. Data & Knowledge Engineering, vol.48, No 3, 2004, pp.361-387.

8. Stankevich S.A., Bunina A.J., Chepurnoy V.S. Operability Evaluation of the Geological/Geophysical and Remote Sensing Data Integration for Land ore Prospectivity Mapping. Technogenic Environmental Safety and Civil Defence, No 6, 2014, pp. 53-59,(in Ukrainian).

9. Stankevich S.A., Titarenko O.V. Technique for Mapping of Hydrocarbon Deposit Boundaries Using Remote Sensing Data. Aerospace Monitoring of Oil and Gas Facilities. / Ed. by V.G. Bondur/, Scientific World, M., 2012, pp. 425-430, (in Russian)

10. Popov М.A., Stankevich S.A., Markov S.J., Zaytsev A.V., Kudashev E.B. Heterogeneous Spatial Data Integration in Gas and Oil Prospecting. Russian Digital Libraries Journal, vol.16, No 2, 2013, http://www.elbib.ru/eng/journal/2013/part2/PSMZK, (in Russian).

11. Kullback S. Information Theory and Statistics. N.Y. Dover Publications, 1997, 432 p.

12. Solovyov V.O., Borisovets I.I., Vasilyev A.N., Pavlov S.D., Suyarko V.G., Tereschenko V.A., Fyk I.M., Scherbina V.G.. Geology and Petroleum Potential of Ukraine. Kharkov, Cursor, 2014, 294 p., (in Russian).

13. Gladun V.V. Prospects for the Oil-Gas-Bearing Capacity of the Dnieper-Donets region. Reports of the NAS of Ukraine, No 8, 2011, pp.91-96.

14. Lukin A.E., Dovzhok E.M., Knishman A.Sh., Goncharenko V.I., Dzubenko O.I. Helium Anomaly in Petroliferous Visean Carbonate Reservoirs of the Dnieper-Donets Depression. Reports of the NAS of Ukraine, No 7, 2012, pp. 97-104, (in Russian).

15. Song P. X.-K. Correlated Data Analysis: Modeling, Analytics, and Applications. N.Y.: Springer, 2007, 346 p.