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.

Results of applying of nonlinear AVAZ inversion optimization algorithm to data from 3D wide-azimuth seismic survey in the Republic of Serbia are presented. The algorithm is based on exact reflection coefficients formulas for PP reflection from anisotropic medium. We compare it with a conventional algorithm based on Ruger linear approximation of P-wave reflection from a boundary between isotropic and anisotropic (HTI) media. Maps of fracture orientation and anisotropy degree are more detailed in the case of using AVAZ inversion based on exact formulas. The results are in general accordance with the FMI well data, which indicates reliable performance of the algorithm.

The subject of the article is a new approach based on the integration of seismic facies analysis with modeling of sedimentation system – submarine fan, which is a potential lithological trap. The new approach allows introducing sedimentation systems modeling into the traditional process of seismic data interpretation. The approach was tested on data of the target interval in Cherkashin formation (West Siberia, Priobskoye-Salym region, Neocomian progradation complex). The presence of submarine fans selected as test-subjects for modeling is confirmed by lithofacial analysis, distribution of effective thicknesses over the area according to drilling results, seismic facies analysis. Two criteria were used to evaluate the simulation results: compare the shape of the model with the results of seismic facies analysis and comparison of the parameters describing the geological process and selected in the modeling process with modern data on turbidite systems. Modeling of submarine fan sedimentation was carried out in the Geological Process Modeling (GPM) module of the Petrel software (Schlumberger), Seismic Facies Analysis – in tratimagic software (Emerson). The approach can be recommended for studying of deep-water Achimov deposits; predicting the development of the distal parts of the submarine fan, not evident in the seismic data and predicting the internal architecture of the potential lithological traps.

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