Recovery of Fine Structure of Cavernous Reservoirs by Scattered Waves Imaging

V.A. Cheverda; K.G. Gadylshin; D.R. Kolyukhin; M.I. Protasov; G.V. Reshetova; T.S. Hachkova; V.A. Kolesov; A.A. Merzlikina; V.V. Shilikov

doi:10.3997/2214-4609.201800333

Recovery of Fine Structure of Cavernous Reservoirs by Scattered Waves Imaging
Authors V.A. Cheverda¹, K.G. Gadylshin¹, D.R. Kolyukhin¹, M.I. Protasov¹, G.V. Reshetova², T.S. Hachkova¹, V.A. Kolesov³, A.A. Merzlikina³, V.V. Shilikov⁴
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Affiliations: ¹ IPGG SB RAS ² ICM&MG SB RAS ³ IGIRGI ⁴ KrasnoyarskNIPIneft
Publisher: European Association of Geoscientists & Engineers
Source: Conference Proceedings, Saint Petersburg 2018, Apr 2018, Volume 2018, p.1 - 6
DOI: https://doi.org/10.3997/2214-4609.201800333

Abstract

Summary

In the recent study of the Yurubcheno - Tokhomskoye oil field more and more attention is paid to the Riphean intervals with high cavitary. Current estimates of specialists working in this area forecast about 30% of geological reserves of hydrocarbons within these intervals. At the moment nor the origin or dissemination of these intervals are not clear. There is some general geological knowledge about these layers. In particular, it is worth mentioning that their average width is 0.5 m – 1 m, the average voidage is about 10% and they are located just below the Riphean interface at a depth around 2000 m. To assess the possibility of seismic techniques for imaging these objects we perform full scale numerical simulation of seismic waves’ propagation and generate synthetic multishot - multioffset data. The simulation was done by parallel software on the base of finite-difference technique with local grid refinement in time and space. Next, we use multicomponent Gaussian beams to construct scattered waves’ images of thin cavernous layers.

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2018-04-09

2024-04-19

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References

ПоздняковВ.А., ЧевердаВ.А.
Фокусирующие преобразования сейсмических данных для площадных стационарных систем // Геология и геофизика. – 2005. – т.46(3). – 328 – 338.
[Google Scholar]
ПротасовМ.И., ЧевердаВ.А.
Построение сейсмических изображений в истинных амплитудах // Доклады Академии Наук. – 2006. – т. 407(4). – 528 – 532.
[Google Scholar]
ProtasovM., ReshetovaG., TcheverdaV.
Fracture detection by Gaussian beam imaging of seismic data and image spectrum analysis // Geophysical Prospecting. – 2016. – v.64(1). – 68 – 82.
[Google Scholar]
КостинВ.И., ЛисицаВ.В., РешетоваГ.В., ЧевердаВ.А.
Конечно-разностный метод численного моделирования распространения сейсмических волн в трёхмерно-неоднородных разномасштабных средах // Вычислительные методы и программирование: новые вычислительные технологии. – 2011. – т. 12(1). – 321 – 329.
[Google Scholar]
LisitsaV., TcheverdaV., ReshetovaG.
Finite-difference algorithm with local time-space grid refinement for simulation of waves. // Computational Geosciences. – 2012 – v. 16(1)/ - 39 – 54.
[Google Scholar]
PozdnyakovV.A., TcheverdaV.A.
Focusing transformation of array seismic data // Russian Geology and Geophysics. – 2005. – v.46(3). – 328 – 338.
[Google Scholar]
ProtasovM.I., TcheverdaV.A.
True amplitude seismic imaging. // Doklady Earth Sciences. – 2006. – v.407(3). – 441 – 445.
[Google Scholar]
ProtasovM., ReshetovaG., TcheverdaV.
Fracture detection by Gaussian beam imaging of seismic data and image spectrum analysis // Geophysical Prospecting. – 2016. – v.64(1). – 68 – 82.
[Google Scholar]
KostinV.I., LisitsaV.V., ReshetovaG.V., TcheverdaV.A.
A finite-difference method for the numerical simulation of seismic wave propagation through multiscale media // Vychislitel’nye metody i programmirovanie. – 2011. – v.12(1). – 321 – 329 (in Russian).
[Google Scholar]
LisitsaV., TcheverdaV., ReshetovaG.
Finite-difference algorithm with local time-space grid refinement for simulation of waves. // Computational Geosciences. – 2012 – v. 16(1)/ - 39 – 54.
[Google Scholar]

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Recovery of Fine Structure of Cavernous Reservoirs by Scattered Waves Imaging

Conference Proceedings 2018, 1 (2018); https://doi.org/10.3997/2214-4609.201800333

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Recovery of Fine Structure of Cavernous Reservoirs by Scattered Waves Imaging

Abstract

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The natural combination of full and image‐based waveform inversion

Poststack diffraction imaging using reverse‐time migration

Characterizing the effect of elastic interactions on the effective elastic properties of porous, cracked rocks

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Laboratory measurements of guided‐wave propagation within a fluid‐saturated fracture