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Seismic exploration work efficiency improvement on the example of project on license area of Tomskneft VNK JSC

Authors: V.P. Maximov, A.Yu.Chesalov, A.V. Bobrov, A.V. Bychkov (TomskNIPIneft JSC, RF, Tomsk), V.S. Zhuzhel (Rosneft Oil Company OJSC, RF, Moscow), N.V. Denisov Tomskneft VNK JSC, RF, Tomsk)

Key words: method of field survey, processing and interpretation of seismic data, spectral decomposition of seismic data.

The authors consider the problem of reliability improvement of seismic models, which are formed during seismic survey using traditional technologies. Quality and reliability of seismic models can be improved by method optimization, strong control of field survey quality, enhancement of seismic data processing, improvement of seismic data interpretation, integration of cross-sectional results, and efficient actualization of seismic models according to drilling results. These measures allow not only refine models of known oil deposits and oil fields into Jurassic-Cretaceous formation and increasing effectiveness of engineering, but also allocate other perspective objects.
References
1. Metodicheskie rekomendatsii po ispol'zovaniyu dannykh seysmorazvedki
(2D, 3D) dlya podscheta zapasov nefti i gaza (Guidelines on the use of seismic data (2D, 3D) for calculating oil and gas reserves), Moscow: Publ. of Gers, 2006, 39 p.
2. Metodicheskie rekomendatsii po ispol'zovaniyu dannykh seysmorazvedki
dlya podscheta zapasov uglevodorodov v usloviyakh karbonatnykh porod s
poristost'yu treshchinno-kavernovogo tipa (Guidelines on the use of seismic
data to calculating hydrocarbon reserves in conditions of carbonate rocks
with a fracture-cavern porosity): edited by Levyant V.B., Moscow: Publ. of
Gers, 2010, 250 p.
3. Bobrov A.V., Ivanitskiy M.Yu., Utochnenie modeli mestorozhdeniya s pomoshch'yu tekhnologii spektral'noy dekompozitsii PO DECISIONSPACE (LANDMARK)
(Clarification field model using spectral decomposition technology
on software DECISION SPACE(LANDMARK)), Proceedings of V International scientific and practical conference EAGO “Geokrym-2015. Problemy neftegazovoy geologii i geofiziki” (Geokrym 2015. Petroleum geology and geophysics problems), Alushta, 2015, pp. 176–179.

Key words: method of field survey, processing and interpretation of seismic data, spectral decomposition of seismic data.

The authors consider the problem of reliability improvement of seismic models, which are formed during seismic survey using traditional technologies. Quality and reliability of seismic models can be improved by method optimization, strong control of field survey quality, enhancement of seismic data processing, improvement of seismic data interpretation, integration of cross-sectional results, and efficient actualization of seismic models according to drilling results. These measures allow not only refine models of known oil deposits and oil fields into Jurassic-Cretaceous formation and increasing effectiveness of engineering, but also allocate other perspective objects.
References
1. Metodicheskie rekomendatsii po ispol'zovaniyu dannykh seysmorazvedki
(2D, 3D) dlya podscheta zapasov nefti i gaza (Guidelines on the use of seismic data (2D, 3D) for calculating oil and gas reserves), Moscow: Publ. of Gers, 2006, 39 p.
2. Metodicheskie rekomendatsii po ispol'zovaniyu dannykh seysmorazvedki
dlya podscheta zapasov uglevodorodov v usloviyakh karbonatnykh porod s
poristost'yu treshchinno-kavernovogo tipa (Guidelines on the use of seismic
data to calculating hydrocarbon reserves in conditions of carbonate rocks
with a fracture-cavern porosity): edited by Levyant V.B., Moscow: Publ. of
Gers, 2010, 250 p.
3. Bobrov A.V., Ivanitskiy M.Yu., Utochnenie modeli mestorozhdeniya s pomoshch'yu tekhnologii spektral'noy dekompozitsii PO DECISIONSPACE (LANDMARK)
(Clarification field model using spectral decomposition technology
on software DECISION SPACE(LANDMARK)), Proceedings of V International scientific and practical conference EAGO “Geokrym-2015. Problemy neftegazovoy geologii i geofiziki” (Geokrym 2015. Petroleum geology and geophysics problems), Alushta, 2015, pp. 176–179.


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