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Approaches to 3D Seismic Data Interpretation in the Study of the Pre-Jurassic Complex of Western Siberia (Frolovskaya Megadepression)

https://doi.org/10.18599/grs.2026.3.8

Abstract

The pre-Jurassic complex (PJC) of the Frolovskaya mega-depression in Western Siberia is a promising direction for expanding the resource base: 68 fields are currently on the state balance, holding geological reserves of approximately 965 million tonnes of oil equivalent. This paper summarizes experience in interpreting wide-azimuth 3D seismic data to study the structure and petroleum potential of the complex over an area characterized by 10 surveys (covering more than 2800 km²), 90 exploration wells, and over 500 production wells. It is shown that a reliable structural model of the PJC is achieved through full-azimuth anisotropic depth migration, which improves the focusing of dipping reflections and the suppression of multiples under conditions of erosional relief and a weathering crust. For areas of acid volcanic rocks development of Late Permian–Early Triassic age, a relationship has been established between lithological composition (tuffs, rhyolites, metarhyolites) and elastic properties: the most promising reservoirs are porous tuffs with reduced acoustic impedance, traceable from simultaneous seismic inversion data; reservoirs with a complex pore-space type are not reliably distinguished by elastic properties. Beyond the volcanic areas, a probabilistic forecast of the compositional makeup of the PJC’s near-top section is proposed, using Gaussian discriminant analysis applied to P-impedance and Vp/Vs maps, based on a core elasticproperty database (more than 360 samples, 10 petroclasses). The integration of seismic exploration, petrophysics, and probabilistic modeling reduces drilling geological risks and improves the efficiency of exploration operations.

About the Authors

A. I. Khisamutdinova
Moscow Office of LUKOIL-Engineering LLC
Russian Federation

Aysylu I. Khisamutdinova – Cand. Sci. (Geology and Mineralogy), Senior Geologist at the Seismic Research Department for Methodology, Priority, and Offshore Project

Moscow



A. S. Grinevsky
Moscow Office of LUKOIL-Engineering LLC
Russian Federation

Anton S. Grinevskiy – Cand. Sci. (Engineering Sciences), Senior Geophysicist at the Seismic Research Department for Methodology, Priority, and Offshore Projects

Moscow



D. E. Miroshnichenko
Moscow Office of LUKOIL-Engineering LLC
Russian Federation

Dmitry E. Miroshnichenko – Cand. Sci. (Physics and Mathematics), Head of the Expertise, Development, and Implementation of Methodological Solutions Department at the Seismic Research Department for Methodology Priority, and Offshore Projects

Moscow



A. F. Romanchuk
Moscow Office of LUKOIL-Engineering LLC
Russian Federation

Aigul F. Romanchuk – Cand. Sci. (Geology and Mineralogy), Senior Geophysicist at the Seismic Research Department for Methodology, Priority, and Offshore Projects

Moscow



A. A. Barantsev
Moscow Office of LUKOIL-Engineering LLC
Russian Federation

Alexey A. Barantsev – Senior Geophysicist at the Seismic Research Department for Methodology, Priority, and Offshore Projects

Moscow



R. Yu. Boyarkin
Moscow Office of LUKOIL-Engineering LLC
Russian Federation

Roman Yu. Boyarkin – Chief Specialist at the Seismic Research Department for Methodology, Priority, and Offshore Projects

Moscow



T. N. Kiryanov
Moscow Office of LUKOIL-Engineering LLC
Russian Federation

Tatyana N. Kiryanova – Head of the Seismic Research Department for Methodology, Priority, and Offshore Projects

Moscow



A. A. Bakulin
Moscow Office of LUKOIL-Engineering LLC
Russian Federation

Alexey A. Bakulin – Project Manager of the Tight Oil Reserves Development and Implementation Center

Moscow



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Review

For citations:


Khisamutdinova A.I., Grinevsky A.S., Miroshnichenko D.E., Romanchuk A.F., Barantsev A.A., Boyarkin R.Yu., Kiryanov T.N., Bakulin A.A. Approaches to 3D Seismic Data Interpretation in the Study of the Pre-Jurassic Complex of Western Siberia (Frolovskaya Megadepression). Georesursy = Georesources. 2026;28(3):28-45. (In Russ.) https://doi.org/10.18599/grs.2026.3.8

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