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APPLIED GEOPHYSICS  2017, Vol. 14 Issue (1): 73-86    DOI: 10.1007/s11770-017-0599-8
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Preconditioned prestack plane-wave least squares reverse time migration with singular spectrum constraint
Li Chuang1, Huang Jian-Ping1, Li Zhen-Chun1, and Wang Rong-Rong2
1. School of Geosciences, China University of Petroleum, Qingdao 266580, China.
2. Hisense (Shandong) Refrigerator Co. Ltd, Hisense, Qingdao 266580, Shandong, China.
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Abstract Least squares migration can eliminate the artifacts introduced by the direct imaging of irregular seismic data but is computationally costly and of slow convergence. In order to suppress the migration noise, we propose the preconditioned prestack plane-wave least squares reverse time migration (PLSRTM) method with singular spectrum constraint. Singular spectrum analysis (SSA) is used in the preconditioning of the take-off angle-domain common-image gathers (TADCIGs). In addition, we adopt randomized singular value decomposition (RSVD) to calculate the singular values. RSVD reduces the computational cost of SSA by replacing the singular value decomposition (SVD) of one large matrix with the SVD of two small matrices. We incorporate a regularization term into the preconditioned PLSRTM method that penalizes misfits between the migration images from the plane waves with adjacent angles to reduce the migration noise because the stacking of the migration results cannot effectively suppress the migration noise when the migration velocity contains errors. The regularization imposes smoothness constraints on the TADCIGs that favor differential semblance optimization constraints. Numerical analysis of synthetic data using the Marmousi model suggests that the proposed method can efficiently suppress the artifacts introduced by plane-wave gathers or irregular seismic data and improve the imaging quality of PLSRTM. Furthermore, it produces better images with less noise and more continuous structures even for inaccurate migration velocities.
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Key wordsLeast squares migration   plane wave   irregular seismic data   singular spectrum analysis   common-image gathers     
Received: 2016-08-13;
Fund:

This work was jointly supported by the National Science and Technology Major Project (No. 2016ZX05014-001-008), the National Key Basic Research Program of China (No. 2014CB239006), the National Natural Science Foundation of China (Nos. 41104069 and 41274124), the Open foundation of SINOPEC Key Laboratory of Geophysics (No. 33550006-15-FW2099-0033), and the Fundamental Research Funds for Central Universities (No. 16CX06046A).

Cite this article:   
. Preconditioned prestack plane-wave least squares reverse time migration with singular spectrum constraint[J]. APPLIED GEOPHYSICS, 2017, 14(1): 73-86.
 
[1] Chemingui, N., van Borselen, R., and Orlovich, M., 2007, 3D plane-wave migration of wide-azimuth data: 77th Annual International Meeting, Society of Exploration Geophysicists, Expanded Abstracts, 2195−2199.
[2] Chen, Y., Yuan, J., Zu, S., et al., 2015, Seismic imaging of simultaneous-source data using constrained least-squares reverse time migration: Journal of Applied Geophysics, 114, 32−35.
[3] Dai, W., Fowler, P., and Schuster, G. T., 2012, Multi-source least-squares reverse time migration: Geophysical Prospecting, 60(4), 681−695.
[4] Dai, W., and Schuster, G. T., 2013, Plane-wave least-squares reverse-time migration: Geophysics, 78(4), 5165−5177.
[5] Du, Q. Z., Sun, R. Y., Qin, T., et al., 2010, A study of perfectly matched layers for joint multicomponent reverse-time migration: Applied Geophysics, 7(2), 166−173.
[6] Dutta, G., and Schuster, G. T., 2014, Attenuation compensation for least-squares reverse time migration using the viscoacoustic-wave equation: Geophysics, 79(6), S251−S262.
[7] Dutta, G., Giboli, M., Williamson, P., and Shuster, G., T., 2015, Least-squares reverse time migration with factorization-free priorconditioning: 85th Annual International Meeting, Society of Exploration Geophysicists, Expanded Abstracts, 4270−4275.
[8] Dutta, G., and Schuster, G. T., 2015, Sparse least-squares reverse time migration using seislets: 85th Annual International Meeting, Society of Exploration Geophysicists, Expanded Abstracts, 4232−4237.
[9] Etgen, J. T., 2005, How many angles do we really need for delayed-shot migration: 75th Annual International Meeting, Society of Exploration Geophysicists, Expanded Abstracts, 1985−1988.
[10] Fan, J. W., Li, Z. C., Zhang, K., et al., 2016, Multisource least-squares reverse-time migration with structure-oriented filtering: Applied Geophysics, 13(3), 491−499.
[11] Herrmann, F. J., and Brown, C. R., 2009, Curvelet-based migration preconditioning and scaling: Geophysics, 74(4), A41−A46.
[12] Hestenes, M. R., and Stiefel, E., 1952, Methods of conjugate gradients for solving linear systems: Journal of Research of the National Bureau of Standards, 49, 409−436.
[13] Huang, J., Li, Z., Kong, X., et al., 2013, A study of least-squares migration imaging method for fractured-type carbonate reservoir: Chinese J. Geophys. (in Chinese), 56(5), 1716−1725.
[14] Huang, J., Li, C., Wang, R., and Li, Q., 2015, Plane-wave least-squares reverse time migration for rugged topography: Journal of Earth Science, 26(4), 471−480.
[15] Huang, W., Wang, R., Chen, Y., et al., 2016, Damped multichannel singular spectrum analysis for 3D random noise attenuation: Geophysics, 81(4), V261−V270.
[16] Krebs, J. R., Anderson, J. E., Hinkley, D., et al., 2009, Fast full-wavefield seismic inversion using encoded sources: Geophysics, 74(6), WCC177−WCC188.
[17] Kuehl, H., and Sacchi, M. D., 2003, Least-squares wave-equation migration for AVP/AVA inversion: Geophysics, 68(1), 262−273.
[18] Li, C., Huang, J., Li, Z., et al., 2016a, Plane-wave least-square reverse time migration with encoding strategies, Journal of Seismic Exploration, 25, 177−197.
[19] Li, C., Huang, J., Li, Z., and Wang, R., 2016b. Least-squares migration of simultaneous source data with singular spectrum regularization: SPG/SEG 2016 International Geophysical Conference, Society of Exploration Geophysicists and Society of Petroleum Geophysicists, 579−581.
[20] Li, Q. Y., Huang, J. P., Li, Z. C., et al., 2014a, Multisource least-squares reverse-time migration in the presence of topography on body-fitted grids, 76th EAGE Conference and Exhibition EAGE, Extended Abstracts.
[21] Li, Z. C., Guo, Z. B., and Tian, K., 2014b, Least-square reverse time migration in visco-acoustic medium: Chinese J. Geophys (in Chinese), 1, 79-94.
[22] Liu, G. C., Chen, X. H., Song, J. Y., and Rui, Z. H., 2012, A stabilized least-squares imaging condition with a structure constraint: Applied Geophysics, 9(4), 459−467.
[23] Liu, Y. J., Li, Z. C., Wu, D., et al., 2013, The research on local slope constrained least-square migration: Chinese J. Geophys (in Chinese), 56(3), 1003−1011.
[24] Liu, Y. J., and Li, Z. C., 2015, Least-squares reverse-time migration with extended imaging condition: Chinese J. Geophys (in Chinese), 58(10), 3771−3782.
[25] Nemeth, T., Wu, C., and Schuster, G. T., 1999, Least-squares migration of incomplete reflection data, Geophysics, 64(1), 208−221.
[26] Oropeza, V., 2010, The singular spectrum analysis method and its application to seismic data denoising and reconstruction: PhD Thesis, University of Alberta.
[27] Oropeza, V., and Sacchi, M., 2010, A randomized SVD for multichannel singular spectrum analysis (MSSA) noise attenuation: 80th Annual International Meeting, Society of Exploration Geophysicists, Expanded Abstracts, 3539−3544.
[28] Oropeza, V., and Sacchi, M., 2011, Simultaneous seismic data denoising and reconstruction via multichannel singular spectrum analysis: Geophysics, 76, V25−V32.
[29] Rokhlin, V., Szlam, A., and Tygert, M., 2009, A randomized algorithm for principal component analysis: SIAM Journal on Matrix Analysis and Applications, 31, 1100−1124.
[30] Sacchi, M., 2009, FX Singular Spectrum Analysis: CSPG CSEG CWLS Convention, 392−395.
[31] Schuster, G. T., Wang, X., Huang, Y., et al., 2011, Theory of multisource crosstalk reduction by phase-encoded statics: Geophysical Journal International, 184, 1289−1303.
[32] Stanton, A., and Sacchi, M., 2015, Least squares wave equation migration of elastic data, 77th Annual International Conference and Exhibition, EAGE, Extended Abstracts, 116−121.
[33] Tan, S., and Huang, L., 2014, Least-squares reverse-time migration with a wavefield-separation imaging condition and updated source wavefields: Geophysics, 79(5), S195−S205.
[34] Xue, Z., Chen, Y., Fomel, S., and Sun, J., 2015, Seismic imaging of incomplete data and simultaneous-source data using least-squares reverse time migration with shaping regularization: Geophysics, 81(1), S11−S20.
[35] Zhang, Y., Sun, J., Notfors, C., et al., 2005, Delayed-shot 3D depth migration: Geophysics, 70(6), E21−E28.
[36] Zhao, Y., Liu, Y., and Ren, Z. M., 2014, Viscoacoustic prestack reverse time migration based on the optimal time-space domain high-order finite-difference method: Applied Geophysics, 11(1), 50−62.
[37] Zhou, H. M., Chen, S. C., Ren, H. R., et al., 2014, One-way wave equation least-squares migration based on illumination compensation: Chinese Journal of Geophysics (in Chinese), 57(8), 2644−2655.
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