Kopilevich info 1.2019 | oilandgasgeology

Якорь 1

E.A. Kopilevich, G.V. Kuznetsov, N.D. Surova, M.B. Skvortsov

Integrated seismic-pressure-temperature and geochemical prediction of the Bazhenov pay zones in Western Siberia

DOI 10.31087/0016-7894-2019-1-86-91

The paper discusses a new way of integrated prediction of oil and gas promising zones within high-carbon siliceous-argillaceous-carbonate formations having an essentially biogenic genesis. A new method of oil and gas promising zones identification in the Bazhenov formations was applied. This method is an adaptation of the innovative technology for integrated spectral and velocity prediction of geological section types and reservoir porosity and permeability. This new way of prediction using seismic, temperature, pressure, and geochemical data allowed the authors classifying geological sections into types with a high confidence level according to certified seismic time-spectral attributes, pressure, temperature, and Organic Matter content. Efficiency of the proposed methodology is demonstrated by the examples of the West Siberian Bazhenov formations.

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

For citation: Kopilevich E.A., Kuznetsov G.V., Surova N.D., Skvortsov M.B. Integrated seismic-pressure-temperature and geochemical prediction of the Bazhenov pay zones in Western Siberia. Geologiya nefti i gaza. 2019;(1):86–91. DOI: 10.31087/0016-7894-2019-1-86-91.

References

1. Kopilevich E.A., Mushin I.A., Davydova E.A., Afanasyev M.L. Complex spectral-speed prediction of types of geological section and filtration-capacitive properties of collectors. OAO «NK «Rosneft». Ser. Biblioteka neftyanogo inzhiniringa. Izhevsk: ANO "Izhevsk Institute of Computer Research"; 2010. 248 p.
2. Kopilevich E.A., Surova N.D., Skvortsov M.B., Kuznetsov G.V. The possibility of prediction the productive zones of the bazhenov reservoir by spectral-temporal quantitative seismic attributes analysis. Geofizika. 2016;(1):81–90.
3. Kopilevich E.A., Skvortsov M.B., Surova N.D., Kuznetsov G.V. New methods for regional forecast of highly productive Bazhenov reservoirs in Western Siberia. Geologiya nefti i gaza. 2016;(4):56–61.
4. Dorrington K.P., Link C.A. Genetic-algorithm/neural-network approach to seismic attribute selection for well-log prediction. Geophysics. 2004;69(1):212–221.
5. Dowd P.A., Pardo-Iguzquiza E. Estimating the boundary surface between geological formations from 3D seismic data using neural networks and geostatistics. Geophysics. 2005;70(1):1–12.