M.B. Skvortsov, G.V. Kuznetsov, N.D. Surova, E.A. Kopilevich
New data on the Bazhenov pay zones occurrence in West Siberia
DOI: 10.31087/0016-7894-2018-2-89-96

The paper presents the new methodology of integrated prediction of oil and gas prospects on the basis of time-spectral seismic attributes. The study area covers the Tyumen, Omsk, Tomsk, Novosibirsk regions, Khanty-Mansi Autonomous Okrug, and Yamal-Nenets Autonomous Okrug. Seismic information alone is not sufficient for obtaining the sustainable, reliable, and geologically reasonable results. Methodology of integrated seismic-pressure-temperature and geochemical prediction of pay zones within the West Siberian Bazhenov sequences was developed in VNIGNI. The basis of this methodology is an innovative technology for integrated time-spectral prediction. Time-spectral seismic attributes, pressure and temperature attributes, and geochemical parameters are used as input data. Reservoir development principles in Bazhenites are associated with thermal anomalies and abnormal reservoir pressure, thus pressure and temperature conditions determine the catagenesis degree of high-carbon bituminous-type deposits. Temperature and formation pressure largely determine the subsurface elastic properties. Geochemical parameter determines the organic matter content. As a result of the studies carried out, new data on the location of oil and gas promising types of geological column were obtained for West Siberia. The authors managed to prove that integration of the proposed attributes has increased the confidence level of the predicted map by 27% compared to the similar one created with the use of seismic data only. The obtained new data allow increasing accuracy and reliability of hydrocarbon reserves evaluation, detailed CDP seismic surveys location, and also drilling of prospecting, exploration and development wells. And thus improve geological and economic efficiency of exploration and prospecting for oil and gas in these deposits.


Key words: Bazhenov formation; integrated spectral and velocity prediction; attributes; prospects.

For citation: Skvortsov M.B., Kuznetsov G.V., Surova N.D., Kopilevich E.A. New data on the Bazhenov pay zones occurrence in West Siberia. Geologiya nefti i gaza = Oil and gas geology. 2018;(2):89–96. DOI: 10.31087/0016-7894-2018-2-89-96.


1. Kopilevich E.A., Mushin I.A., Davydova E.A., Afanas'ev M.L. Integrated spectral and velocity prediction of geological column types and reservoir properties. OAO “NK «Rosneft'”. Ser. Biblioteka neftyanogo inzhiniringa. Izhevsk: ANO «Izhevskii institut komp'yuternykh issledovanii», 2010. 248 p.
2. Kopilevich E.A., Surova N.D., Skvortsov M.B., Kyznetsov G.V. The possibility of prediction the productive zones of the bazhenov reservoir by spectral-temporal quantitative seismic attributes analysis. Russian geophysics. 2016;(1):81–90.

3. Kopilevich E.A., Skvortsov M.B., Surova N.D., Kyznetsov G.V. New methods for regional forecast of highly productive Bazhenov reservoirs in Western Siberia. Geologiya nefti i gaza. 2016;(4):56–61.4. Unconventional oil and gas resources exploitation and development. In: Ahmed U., Meehan D.N., eds. Boca Raton: CRC Press; 2016.
5. Dorrington K., Link C. Genetic‐algorithm/neural‐network approach to seismic attribute selection for well‐log prediction. Geophysics. 2004;69(1):212–221. DOI: 10.1190/1.1649389.
6. Dowd P., Pardo-Igúzquiza E. Estimating the boundary surface between geologic formations from 3D seismic data using neural networks and geostatistics. Geophysics. 2005;70(1):1–11. DOI: 10.1190/1.1852783.

M.B. Skvortsov

All-Russian Research Geological Oil Institute, Moscow, Russia;


G.V. Kuznetsov

All-Russian Research Geological Oil Institute, Moscow, Russia;


N.D. Surova

All-Russian Research Geological Oil Institute, Moscow, Russia;


E.A. Kopilevich

All-Russian Research Geological Oil Institute, Moscow, Russia;