Vector-Based Seismic Decomposition by Reverse Time Methods

Vadim Agafonov; Aleksandr Bugaev; Gennadiy Erokhin; Andrey Ronzhin

doi:10.2205/2023ES000837

UDC

550.8

CSCSTI

37.01 37.15 37.25 37.31 38.01

VECTOR-BASED SEISMIC DECOMPOSITION BY REVERSE TIME METHODS Vector-Based Seismic Decomposition by Reverse Time Methods

АА Аа

Published in Russian Journal of Earth Sciences · Pages 1–16 · Rubric: ORIGINAL ARTICLES

DOI: https://doi.org/10.2205/2023ES000837

Received: 05.11.2022 Accepted: 23.01.2023 Published: 11.09.2023

Authors

Vadim Agafonov

ORCID

Aleksandr Bugaev

Gennadiy Erokhin

ORCID

Andrey Ronzhin

ORCID

Vadim Agafonov

Academic degree: candidate of physical and mathematical sciences

OOO «R-Sensor» Russian Federation

ORCID

Aleksandr Bugaev

Academic degree: doctor of physical and mathematical sciences

Science rang: academician

IRE im. V. A. Kotel'nikova RAN Russian Federation

Gennadiy Erokhin

Academic degree: doctor of physical and mathematical sciences

Science rang: professor

Immanuel Kant Baltic Federal University Director · R&D Institute of Applied Informatics & Mathematical Geophysics

ORCID

Andrey Ronzhin

Science rang: professor author.academy_titles.32

SPbFIC RAN Russian Federation

ORCID

ABSTRACT

The paper analyzes the decomposition of the initial seismic data by the methods of wave reversal in time when constructing seismic attributes. Within the framework of a formal approach to decomposition, as a mapping of data from one space into data of a larger dimension, a classification of existing seismic survey methods is given. Separation of the stage of decomposition in seismic data processing makes it possible to streamline the existing directions of research in this area of seismic exploration. The vector decomposition, which is the basis of a new method of seismic data processing Reverse Time Holography (RTH), is analyzed in detail. The RTH method includes, as a special case, the depth migration method, the offset reflection amplitude analysis method, the acoustic inversion method, and is an alternative to the migration-based velocity estimation method and the full wave inversion method. A close connection between the technique of wavefront time reversal in seismic exploration and analogous time reversal in optics and acoustics is noted. The variety of deep seismic attributes obtained in the RTH method based on vector decomposition makes it possible to solve a wide range of practical problems of prospecting and developing hydrocarbon deposits at a new qualitative level. The RTH method has been successfully tested at 21 hydrocarbon fields in various oil and gas provinces of the Russian Federation.

KEYWORDS

seismic, time reverse, scattering, seismic attributes, migration, decomposition

Funding

The study was supported by the Russian Science Foundation grant No. 22-69-00231, https://rscf.ru/en/project/22-69-00231/.

Text

Text (PDF)

Read Download

1. Alali A., Tanushev N., Tsingas C. Depth Velocity Model Building on Blended Data Via Beam Tomography // 83rd EAGE Annual Conference & Exhibition. European Association of Geoscientists & Engineers, 2022. P. 1-5. DOI:https://doi.org/10.3997/2214-4609.202210594

2. Albertin U., Sava P., Etgen J. et al. Adjoint wave-equation velocity analysis // SEG Technical Program Expanded Abstracts 2006. Society of Exploration Geophysicists, 2006. P. 3345-3349. DOI:https://doi.org/10.1190/1.2370226

3. Alekseev A. S., Erokhin G. N. Integration in geophysical inverse problems (Integrated Geophysics) // USSR Academy of Sciences Proceedings. 1989. V. 308, № 6. P. 1-6.

4. Alkhalifah T. Scattering-angle based ﬁltering of the waveform inversion gradients // Geophysical Journal International. 2015. V. 200, № 1. P. 363-373. DOI:https://doi.org/10.1093/gji/ggu379

5. Anikonov Y. E., Bubnov B. A., Erokhin G. N. Inverse and Ill-Posed Sources Problems. Berlin, Boston: DE GRUYTER, 1997. P. 239. DOI:https://doi.org/10.1515/9783110969412

6. Baysal E., Kosloﬀ D. D., Sherwood J. W. C. Reverse time migration // GEOPHYSICS. 1983. V. 48, № 11. P. 1514-1524. DOI:https://doi.org/10.1190/1.1441434

7. Biondi B., Sava P. Wave-equation migration velocity analysis // SEG Technical Program Expanded Abstracts 1999. Society of Exploration Geophysicists, 1999. P. 1723-1726. DOI:https://doi.org/10.1190/1.1820867.

8. Erokhin G. Reverse time holography approach based on the vector domain common image gathers // SEG Technical Program Expanded Abstracts 2019. Society of Exploration Geophysicists, 2019. P. 4107-4111. DOI:https://doi.org/10.1190/segam2019-3201622.1 EDN: https://elibrary.ru/NIMIJE

9. Erokhin G. Time-dependent scattering in reverse time holography method // 83rd EAGE Annual Conference & Exhibition. European Association of Geoscientists & Engineers, 2022. P. 1-5. DOI:https://doi.org/10.3997/2214-4609.202210094

10. Erokhin G., Bryksin V. High-resolution velocity model estimation by the RTH method // SEG Technical Program Expanded Abstracts 2020. Society of Exploration Geophysicists, 2020. P. 2863-2867. DOI:https://doi.org/10.1190/segam2020-3410422.1 EDN: https://elibrary.ru/DFQWGV

11. Erokhin G., Danilin A., Kozlov M. Extension of the common image gathers by VPRTM method // SEG Technical Program Expanded Abstracts 2018. Society of Exploration Geophysicists, 2018. P. 4438-4442. DOI:https://doi.org/10.1190/segam2018-2995971.1 EDN: https://elibrary.ru/MYEYVN

12. Erokhin G., Pestov L., Danilin A. et al. Interconnected vector pairs image conditions: New possibilities for visualization of acoustical media // SEG Technical Program Expanded Abstracts 2017. - Society of Exploration Geophysicists, 2017. P. 4624-4629. DOI:https://doi.org/10.1190/segam2017-17587902.1 EDN: https://elibrary.ru/BVFSPX

13. Fink M. Time Reversed Acoustics // Physics Today. 1997. V. 50, № 3. P. 34-40. DOI:https://doi.org/10.1063/1.881692 EDN: https://elibrary.ru/CLZLIR

14. Guan H., Williamson P., Denel B. et al. Angle-domain common-image gathers extracted from pre-stack RTM images // SEG Technical Program Expanded Abstracts 2013. Society of Exploration Geophysicists, 2013. P. 3767-3772. DOI:https://doi.org/10.1190/segam2013-1149.1

15. Khaidukov V., Landa E., Moser T. J. Diﬀraction imaging by focusing-defocusing: An outlook on seismic superresolution // GEOPHYSICS. 2004. V. 69, № 6. P. 1478-1490. DOI:https://doi.org/10.1190/1.1836821 EDN: https://elibrary.ru/LINMGJ

16. Koren Z., Ravve I. Full-azimuth subsurface angle domain waveﬁeld decomposition and imaging Part I: Directional and reﬂection image gathers // GEOPHYSICS. 2011. V. 76, № 1. S1-S13. DOI:https://doi.org/10.1190/1.3511352 EDN: https://elibrary.ru/TBVMPQ

17. Kremlev A. N., Erokhin G. N., Starikov L. E. et al. Fracture and cavernous reservoirs prospecting by the CSP prestack migration method // 73rd EAGE Conference and Exhibition incorporating SPE EUROPEC 2011. EAGE Publications BV, 2011. DOI:https://doi.org/10.3997/2214-4609.20148996 EDN: https://elibrary.ru/SNRFKV

18. Landa E., Shtivelman V., Gelchinsky B. A method for detection of diﬀracted waves on common-oﬀset sections // Geophysical Prospecting. 1987. V. 35, № 4. P. 359-373. DOI:https://doi.org/10.1111/j.1365-2478.1987.tb00823.x EDN: https://elibrary.ru/SHHCEO

19. Landau L. D., Lifshitz E. M. Fluid Mechanics. 2nd ed. Pergamon Books Ltd., 1987. P. 532.

20. McMechan G. A. Migration by extrapolation of time-dependent boundary values // Geophysical Prospecting. 1983. V. 31, № 3. P. 413-420. DOI:https://doi.org/10.1111/j.1365-2478.1983.tb01060.x

21. Moser T. J., Howard C. B. Diﬀraction imaging in depth // Geophysical Prospecting. 2008. V. 56, № 5. P. 627-641. DOI:https://doi.org/10.1111/j.1365-2478.2007.00718.x EDN: https://elibrary.ru/MHWLGB

22. Mosher C. C., Foster D. J. Common angle imaging conditions for pre-stack depth migration // SEG Technical Program Expanded Abstracts 2000. Society of Exploration Geophysicists, 2000. P. 830-833. DOI:https://doi.org/10.1190/1.1816200

23. Plessix R.-E. A review of the adjoint-state method for computing the gradient of a functional with geophysical applications // Geophysical Journal International. 2006. V. 167, № 2. P. 495-503. DOI:https://doi.org/10.1111/j.1365-246x.2006.02978.x

24. Popovici A. M., Sturzu I., Moser T. J. High Resolution Diﬀraction Imaging of Small Scale Fractures in Shale and Carbonate Reservoirs // 14th International Congress of the Brazilian Geophysical Society & EXPOGEF, Rio de Janeiro, Brazil, 3-6 August 2015. Brazilian Geophysical Society, 2015. DOI:https://doi.org/10.1190/sbgf2015-153

25. Ren L., Liu G., Meng X. et al. Suppressing Artifacts in 2D RTM Using the Poynting Vector // Near Surface Geophysics Asia Paciﬁc Conference, Beijing, China 17-19 July 2013. Society of Exploration Geophysicists, Australian Society of Exploration Geophysicists, Chinese Geophysical Society, Korean Society of Earth, Exploration Geophysicists, Society of Exploration Geophysicists of Japan, 2013. P. 484-487. DOI:https://doi.org/10.1190/nsgapc2013-112

26. Rosales D. A., Biondi B. Converted-waves angle-domain common-image gathers // SEG Technical Program Expanded Abstracts 2005. Society of Exploration Geophysicists, 2005. P. 959-962. DOI:https://doi.org/10.1190/1.2148320

27. Sava P., Fomel S. Time-shift imaging condition in seismic migration // GEOPHYSICS. 2006. V. 71, № 6. S209-S217. DOI:https://doi.org/10.1190/1.2338824

28. Sava P. C., Biondi B., Etgen J. Wave-equation migration velocity analysis by focusing diﬀractions and reﬂections // GEOPHYSICS. 2005. V. 70, № 3. U19-U27. DOI:https://doi.org/10.1190/1.1925749 EDN: https://elibrary.ru/MHWLEX

29. Stolk C. C., Hoop M. V. D., Root T. J. P. M. O. Inverse scattering of seismic data in the reverse time migration (RTM) approach // Proceedings of the Project Review. V. 1. Geo-Mathematical Imaging Group (Purdue University, West Lafayette IN), 2009. P. 91-108.

30. Tanushev N., Popovici A. M., Hardesty S. Fast, high-resolution beam tomography and velocity-model building // The Leading Edge. 2017. V. 36, № 2. P. 140-145. DOI:https://doi.org/10.1190/tle36020140.1 EDN: https://elibrary.ru/YWZZPN

31. Tarantola A. Inversion of seismic reﬂection data in the acoustic approximation // GEOPHYSICS. 1984. V. 49, № 8. P. 1259-1266. DOI:https://doi.org/10.1190/1.1441754

32. Virieux J., Operto S. An overview of full-waveform inversion in exploration geophysics // GEOPHYSICS. 2009. V. 74, № 6. P. 1-26. DOI:https://doi.org/10.1190/1.3238367 EDN: https://elibrary.ru/RPJUXQ

33. Vyas M., Nichols D., Mobley E. Eﬃcient RTM angle gathers using source directions // SEG Technical Program Expanded Abstracts 2011. Society of Exploration Geophysicists, 2011. P. 3104-3108. DOI:https://doi.org/10.1190/1.3627840

34. Wang W., McMechan G. A. Vector-based elastic reverse time migration // GEOPHYSICS. 2015. V. 80, № 6. P. 245-258. DOI:https://doi.org/10.1190/geo2014-0620.1

35. Whitmore N. D. Iterative depth migration by backward time propagation // SEG Technical Program Expanded Abstracts 1983. Society of Exploration Geophysicists, 1983. P. 382-385. DOI:https://doi.org/10.1190/1.1893867

36. Whitmore N. D., Crawley S. Applications of RTM inverse scattering imaging conditions // SEG Technical Program Expanded Abstracts 2012. 2012. P. 1-6. DOI:https://doi.org/10.1190/segam2012-0779.1

37. Xie X.-B. An angle-domain wavenumber ﬁlter for multi-scale full-waveform inversion // SEG Technical Program Expanded Abstracts 2015. Society of Exploration Geophysicists, 2015. P. 1132-1137. DOI:https://doi.org/10.1190/segam2015-5877023.1

38. Xie X.-B., Wu R.-S. Extracting angle domain information from migrated waveﬁeld // SEG Technical Program Expanded Abstracts 2002. Society of Exploration Geophysicists, 2002. P. 1360-1363. DOI:https://doi.org/10.1190/1.1816910

39. Yan R., Guan H., Xie X.-B. et al. Acquisition aperture correction in the angle domain toward true-reﬂection reverse time migration // GEOPHYSICS. 2014. V. 79, № 6. P. 241-250. DOI:https://doi.org/10.1190/geo2013-0324.1

40. Yan R., Xie X.-B. A new angle-domain imaging condition for prestack reverse-time migration // SEG Technical Program Expanded Abstracts 2009. - Society of Exploration Geophysicists, 2009. P. 2784-2788. DOI:https://doi.org/10.1190/1.3255427

41. Yilmaz O. Seismic Data Analysis: Processing, Inversion, and Interpretation of Seismic Data (Investigations in Geophysics, No. 10). Society of Exploration. P. 2027.

42. Yoon K., Marfurt K. J. Reverse-time migration using the Poynting vector // Exploration Geophysics. 2006. V. 37, № 1. P. 102-107. DOI:https://doi.org/10.1071/EG06102

43. Zel’dovich B. Y., Popovichev V. I., Ragulsky V. V. et al. On the connection between wavefronts of reﬂected and exciting light in stimulated scattering of Mandelstam-Bru¨llen // Letters to ZhETF. 1972. V. 15, № 3. P. 160-164.

44. Zhang Q., McMechan G. A. Direct vector-ﬁeld method to obtain angle-domain common-image gathers from isotropic acoustic and elastic reverse time migration // GEOPHYSICS. 2011. V. 76, № 5. P. 135-149. DOI:https://doi.org/10.1190/geo2010-0314.1

45. Zhu X., Wu R.-S. Imaging diﬀraction points using the local image matrix in prestack migration // SEG Technical Program Expanded Abstracts 2008. Society of Exploration Geophysicists, 2008. P. 2161-2165. DOI:https://doi.org/10.1190/1.3063853

This work is licensed under Creative Commons Attribution 4.0 International

PDF Text JATS XML

Chief Editor

Alexei Gvishiani

rjes@wdcb.ru

Deputy Chief Editor

Boris Dzeboev

rjes@wdcb.ru

Managing Editor

Ernest Kedrov

rjes@wdcb.ru

Responsible Secretary

Natalya Kareva

rjes@wdcb.ru

4693

downloads

This work is licensed under Creative Commons Attribution 4.0 International Creative Commons

GOST

Agafonov V. M., Bugaev A. S., Erokhin G. N., Ronzhin A. L. Vector-Based Seismic Decomposition by Reverse Time Methods // Russian Journal of Earth Sciences. 2023. no. 3. pp. 1-16. DOI: https://doi.org/10.2205/2023ES000837. (Date of access 08.09.2026).

MLA

Vadim Agafonov, Bugaev A. S., Erokhin G. N., Ronzhin A. L.. "Vector-Based Seismic Decomposition by Reverse Time Methods." Russian Journal of Earth Sciences 23.3 (2023): 1-16. DOI: https://doi.org/10.2205/2023ES000837.

APA

Agafonov V. M., Bugaev A. S., Erokhin G. N., Ronzhin A. L. (2023). Vector-Based Seismic Decomposition by Reverse Time Methods. Russian Journal of Earth Sciences, 23(3), 1-16. https://doi.org/10.2205/2023ES000837

Chicago

Vadim Agafonov, Bugaev A. S., Erokhin G. N., Ronzhin A. L.. "Vector-Based Seismic Decomposition by Reverse Time Methods." Russian Journal of Earth Sciences 23, no. 3 (2023): 1-16. https://doi.org/10.2205/2023ES000837.

WIKI

{{cite journal | author = Agafonov V. M., Bugaev A. S., Erokhin G. N., Ronzhin A. L. | title = Vector-Based Seismic Decomposition by Reverse Time Methods | journal = Russian Journal of Earth Sciences | year = 2023 | volume = 23 | issue = 3 | pages = 1-16 | doi = 10.2205/2023ES000837 }}

Copy

Export: BibTeX EndNote RefMan RusMARC

VECTOR-BASED SEISMIC DECOMPOSITION BY REVERSE TIME METHODS Vector-Based Seismic Decomposition by Reverse Time Methods

Confirmation