Big Data technologies are now being actively integrated into the oil and gas sector owing to the need to improve operational efficiency and to optimize a variety of processes. Successful projects in data processing automation have already been implemented, for example, new breakthroughs are expected in digital field modelling projects /1/.
Geological and geophysical information accumulated over decades of studies in oil and gas bearing basins and fields development is a huge amount of data; Big Data approaches can be effectively applied to them, such as data mining, predictive analytics, training of a system on the reference objects. 3D seismic data is a classic example of Big Data. Their interpretation conventionally involves approaches based on Neural Networks, various classification and clustering algorithms /2/.
According to the experts, the West Siberian Petroleum Basin being a holistic system, has unique properties such as existence of giant and unique hydrocarbon accumulations /3/. The potential of the basin has not yet been determined. The authors focused their attention on the Achimov play. Applying the Big Data approach to a regional database may allow establishing new patterns in fields distribution and will contribute to the development of new unique exploration criteria.
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Khasanov M.M., Prokofiev D.O., Ushmaev O.S., Belozerov B.V., Gilmanov R.R., Margarit A.S. The advanced Big Data technologies in petroleum engineering: experience of Gazprom Neft Company, Neftyanoe Khoziaistvo, Dec. 2006, pp.76-79
Rodon R. Seismic interpretation in the Age of Big Data. 2017 SEG international Exposition and 86th Annual Meeting, p.4911-4914.
Nezhdanov A.A.Geology and petroleum potential of the Achimov series of Western Siberia, Moscow: Akademiya gornykh nauk, 2000.
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