AccScience Publishing / JSE / Article
Submit to JSE
Cite this article
76
Views
Journal Browser
Volume | Year
Issue
Search
Forthcoming Issue
Current Issue
View All
News and Announcements
View All
ARTICLE

Least-squares reverse time migration of blended data with low-rank constraint along structural direction

MIN BAI1 ,  JUAN WU1 ,  JIANYONG XIE2 ,  DONG ZHANG2
Show Less
1 School of Resources and Environment, North China University of Water Resources and Electric Power, Zhengzhou 450045, P.R. China,
2 State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Fuxue Road 18, Beijing 102200, P.R. China,
JSE 2018, 27(1), 29–48;
Submitted: 1 May 2017 | Accepted: 8 November 2017 | Published: 1 February 2018
© 2018 by the Authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Download PDF
Cite
XML
Abstract

Bai, M., Wu, J., Xie, J., and Zhang, D., 2018. Least-squares least reverse time migration of blended data with low-rank constraint along structural direction. Journal of Seismic Exploration, 27: 29-48. The simultaneous-source acquisition has been developed to tremendously improve the marine acquisition efficiency. The economic benefit is compromised by the complexity of recorded seismic data. We propose an effective direct imaging algorithm for migrating the blended simultaneous-source data without preprocessing, i.e., source separation. While the least-squares reverse time migration can help attenuate the crosstalk noise significantly, there are still a huge amount of artifacts existing in the final image. We propose to apply a low-rank constraint to regularize the model during the least-squares inversion. The low-rank constraint is applied along the geological structure of the reflectivity image in order to fully take advantage of the structural patterns of seismic images. Two numerical examples with different complexity validate the effectiveness of the proposed method.

Keywords
simultaneous-source acquisition
least-squares reverse time migration
low-rank constraint
geological structure
crosstalk noise
References
  1. Abma, R., 2014. Shot scheduling in simultaneous shooting. 84th Ann. Internat. SEG Mtg.,Denver: 94-98.
  2. Abma, R.L. and Yan, J., 2009. Separating simultaneous sources by inversion, ExtendedAbstr., 71st EAGE Conf., Amsterdam.
  3. Beasley, C.J., Chambers, R.E. and Jiang, Z., 1998, A new look at simultaneous sources.
  4. Expanded Abstr., 68th Ann. Internat. SEG Mtg., New Orleans: 133-135.
  5. Chen, W., Yuan, J., Chen, Y. and Gan, S., 2017a. Preparing the initial model for iterativedeblending by median filtering. J. Seismic Explor., 26: 25-47.
  6. Chen, Y., 2015a. Deblending using a space-varying median filter. Explor. Geophys., 46:332-341.
  7. Chen, Y., 2015b. Iterative deblending with multiple constraints based on shapingregularization. IEEE Geosci. Remote Sens. Lett., 12: 2247-2251.
  8. Chen, Y., 2016. Dip-separated structural filtering using seislet thresholding and adaptiveempirical mode decomposition based dip filter. Geophys. J. Internat., 206: 457-469.
  9. Chen, Y., 2017. Fast dictionary learning for noise attenuation of multidimensionalseismic data. Geophys. J. Internat., 209: 21-31.
  10. Chen, Y., Chen, H., Xiang, K. and Chen, X., 2017b. Preserving the discontinuities inleast-squares reverse time migration of simultaneous-source data. Geophysics,82(3): S185-S196.
  11. Chen, Y. and Fomel, S., 2015. Random noise attenuation using local signal-and-noiseorthogonalization. Geophysics, 80: WD1-WD9.
  12. Chen, Y., Fomel, S. and Hu, J., 2014a. Iterative deblending of simultaneous-sourceseismic data using seislet-domain shaping regularization. Geophysics, 79:V179-V189.
  13. Chen, Y., Gan, S., Qu, S. and Zu, S., 2015a. Sparse inversion for water bubble removaland spectral enhancement. J. Appl. Geophys., 117: 81-90.
  14. Chen, Y. and Jin, Z., 2015. Simultaneously removing noise and increasing resolution ofseismic data using waveform shaping. IEEE Geosci. Remote Sens. Lett., 13:102-104.
  15. Chen, Y., Yuan, J., Jin, Z., Chen, K. and Zhang, L., 2014b. Deblending using normalmoveout and median filtering in common-midpoint gathers. J. Geophys. Engineer.,11: 045012.
  16. Chen, Y., Yuan, J., Zu, S., Qu, S. and Gan, S., 2015b. Seismic imaging ofsimultaneous-source data using constrained least-squares reverse time migration. J.Appl. Geophys., 114: 32-35.
  17. Dai, W. and Schuster, G.T., 2011. Least-squares migration of multisource data with adeblurring filter. Geophysics, 76: R135—R146.
  18. Fomel, S., 2002. Application of plane-wave destruction filters. Geophysics, 67:1946-1960.
  19. Fomel, S., 2007. Shaping regularization in geophysical estimation problems. Geophysics,72: R29-R36.
  20. Freire, S.L.M. and Ulrych, T.J., 1988. Application of singular value decomposition tovertical seismic profiling. Geophysics, 53: 778-785.
  21. Gan, S., Wang, S., Chen, Y. and Chen, X., 2016a. Simultaneous-source separation usingiterative seislet-frame thresholding. IEEE Geosci. Remote Sens. Lett., 13, 197-201.
  22. Gan, S., Wang, S., Chen, Y., Chen, X. and Xiang, K., 2016b. Separation of simultaneoussources using a structural-oriented median filter in the flattened dimension. Comput.Geosci., 86: 46-54.
  23. Gan, S., Wang, S., Chen, Y., Qu, S. and Zu, S., 2016c. Velocity analysis ofsimultaneous-source data using high-resolution semblance-coping with the strongnoise. Geophys. J. Internat., 204: 768-779.
  24. Gan, S., Wang, S., Chen, Y., Zhang, Y. and Jin, Z., 2015. Dealiased seismic datainterpolation using seislet transform with low-frequency constraint. IEEE Geosci.Remote Sens. Lett., 12: 2150-2154.
  25. Huang, W., Wang, R., Chen, X. and Chen, Y., 2017a. Double least squares projectionsmethod for signal estimation. IEEE Transact. Geosci. Remote Sens., 55: 4111-4129.
  26. Huang, W., Wang, R., Chen, Y., Li, H. and Gan, S., 2016. Damped multichannel singularspectrum analysis for 3D random noise attenuation. Geophysics, 81(4): V261-V270.
  27. Huang, W., Wang, R., Yuan, Y., Gan, S. and Chen, Y., 2017b. Signal extraction usingrandomized-order multichannel singular spectrum analysis: Geophysics, 82, no. 2,V59-V74.
  28. Kong, D., Peng, Z., He, Y. and Fan, H., 2016. Seismic random noise attenuation usingdirectional total variation in the shearlet domain. J. Seismic Explor., , 25: 321-338.
  29. Liu, C., Wang, D., Hu, B., and Wang, T., 2016a. Seismic deconvolution with shearletsparsity constrained inversion. J. Seismic Explor., 25: 433-445.
  30. Liu, W., Cao, S., Gan, S., Chen, Y., Zu, S. and Jin, Z., 2016b. One-step slope estimationfor dealiased seismic data reconstruction via iterative seislet thresholding. IEEEGeosci. Remote Sens. Lett., 13: 1462-1466.
  31. Mahdad, A., 2012. Deblending of Seismic Data. Ph.D. thesis, TU Delft.
  32. Qu, S., Zhou, H., Liu, R., Chen, Y., Zu, S., Yu, S., Yuan, J. and Yang, Y., 2016.
  33. Deblending of simultaneous-source seismic data using fast iterative shrinkage-thresholding algorithm with firm-thresholding. Acta Geophys., 64: 1064-1092.
  34. Verschuur, D.J. and Berkhout, A.J., 2011. Seismic migration of blended shot records withsurface-related multiple scattering. Geophysics, 76: A7-A13.
  35. Wu, J., Wang, R., Chen, Y., Zhang, Y., Gan, S. and Zhou, C., 2016. Multiples attenuationusing shaping regularization with seislet domain sparsity constraint. J. SeismicExplor., 25: 1-9.
  36. Xue, Y., Man, M., Zu, S., Chang, F. and Chen, Y., 2017. Amplitude-preserving iterativedeblending of simultaneous source seismic data using high-order radon transform. J.Appl. Geophys., 139: 79-90.
  37. Xue, Z., Chen, Y., Fomel, S. and Sun, J., 2016. Seismic imaging of incomplete data andsimultaneous-source data using least-squares reverse time migration with shapingregularization. Geophysics, 81: S11-S20.
  38. Zhong, W., Chen, Y., Gan, S. and Yuan, J., 2016. L1/2 norm regularization for 3Dseismic data interpolation. J. Seismic Explor.: 257-268.
  39. Zu, S., Zhou, H., Chen, H., Zheng, H. and Chen, Y., 2017a. Two field trials fordeblending of simultaneous source surveys: why we failed and why we succeeded? J.Appl. Geophys., 143: 182-194.
  40. Zu, S., Zhou, H., Chen, Y., Qu, S., Zou, X., Chen, H. and Liu, R., 2016. A periodicallyvarying code for improving deblending of simultaneous sources in marineacquisition. Geophysics, 81: V213-V225.
  41. Zu, S., Zhou, H., Li, Q., Chen, H., Zhang, Q., Mao, W. and Chen, Y., 2017b. Shot-domain deblending using least-squares inversion. Geophysics, 82(4): V241-V256
Share
Back to top
Journal of Seismic Exploration, Print ISSN: 0963-0651, Published by AccScience Publishing
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here
Accept