ARTICLE

Stacking seismic data based on principal component analysis

JUAN WU MIN BAI
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School of Resources and Environment, North China University of Water Resources and Electric Power, Zhengzhou 450045, P.R. China,
JSE 2018, 27(4), 331–348;
Submitted: 28 August 2017 | Accepted: 20 June 2018 | Published: 1 August 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/ )
Abstract

Wu, J. and Bai, M., 2018. Stacking seismic data based on principal component analysis. Journal of Seismic Exploration, 27: 331-348. Stacking seismic data plays an indispensable role in many steps of the seismic data processing and imaging workflow. Optimal stacking of seismic data can help mitigate seismic noise and enhance the principal components to a great extent. Traditional equal-weight seismic stacking method cannot obtain optimal performance when the ambient noise is extremely strong. We propose applying a principal component analysis (PCA) algorithm for stacking seismic data without being sensitive to noise level. We use both synthetic and field data examples to demonstrate the performance of the presented method.

Keywords
seismic imaging
stacking
principal component analysis
low rank approximation
References
  1. Bai, M. and Wu, J., 2017. Efficient deblending using median filtering without correctnormal moveout - with comparison on migrated images. J. Seismic Explor., 26:455-479.
  2. Chen, W., Chen, Y. and Liu, W., 2016a. Ground roll attenuation using improvedcomplete ensemble empirical mode decomposition. J. Seismic Explor., 25: 485-495,
  3. Chen, W., Xie, J., Zu, S., Gan, S. and Chen, Y., 2017a. Multiple reflections noiseattenuation using adaptive randomized-order empirical mode decomposition.IEEE Geosci. Remote Sens. Lett., 14: 18-22.
  4. Chen, W., Yuan, J., Chen, Y. and Gan, S., 2017b. Preparing the initial model for iterativedeblending by median filtering. J. Seismic Explor., 26: 25-47.
  5. VOL27-4_August 2018_Mise en page 1 16/07/2018 09:51 -Rgges45345,
  6. Chen, W., Zhang, D. and Chen, Y., 2017c. Random noise reduction using a hybridmethod based on ensemble empirical mode decomposition. J. Seismic Explor., 26:227-249.
  7. Chen, Y., 2016. Dip-separated structural filtering using seislet thresholding and adaptiveempirical mode decomposition based dip filter. Geophys. J. Internat., 206: 457-
  8. Chen, Y., 2017. Fast dictionary learning for noise attenuation of multidimensionalseismic data. Geophys. J. Internat., 209: 21-31.
  9. Chen, Y., Chen, H., Xiang, K. and Chen, X., 2016b. Geological structure guided well loginterpolation for high-fidelity full waveform inversion. Geophys. J. Internat., 207:1313-1331.
  10. Chen, Y., Chen, H., Xiang, K. and Chen, X., 2017d. Preserving the discontinuities inleast-squares reverse time migration of simultaneous-source data. Geophysics, 82:5-S196.
  11. Chen, Y. and Fomel, S., 2015. Random noise attenuation using local signal- and noiseorthogonalization. Geophysics, 80: WD1-WD9.
  12. Chen, Y. and Jin, Z., 2015. Simultaneously removing noise and increasing resolution ofseismic data using waveform shaping. IEEE Geosci. Remote Sens. Lett., 13: 102-
  13. Chen, Y., Liu, T. and Chen, X., 2015. Velocity analysis using similarity-weightedsemblance. Geophysics, 80. A75-A82.
  14. Chen, Y., Zhang, D., Huang, W. and Chen, W., 2016c. An open-source matlab codepackage for improved rank-reduction 3D seismic data denoising andreconstruction. Comput. Geosci., 95: 59-66.
  15. Chen, Y., Zhang, D., Jin, Z., Chen, X., Zu, S., Huang, W. and Gan, S., 2016d.
  16. Simultaneous denoising and reconstruction of 5D seismic data via damped rank-reduction method. Geophys. J. Internat., 206: 1695-1717.
  17. Chen, Y., Zhou, Y., Chen, W., Zu, S., Huang, W. and Zhang, D., 2017e. Empirical lowrank decomposition for seismic noise attenuation. IEEE Transact. Geosci. RemoteSens., 55: 4696-4711.
  18. Deng, P., Chen, Y., Zhang, Y. and Zhou, H., 2016. Weighted stacking of seismic AVOdata using hybrid AB semblance and local similarity. J. Geophys. Engin., 13: 152-
  19. Du, Q. and Fowler, J., 2007. Hyperspectral image compression using jpeg2000 andprincipal component analysis. IEEE Geosci. Remote Sens. Lett., 4: 201-205.
  20. Farrell, M. and Mersereau, R.M., 2005. On the impact of PCA dimension reduction forhyperspectral detection of difficult targets. IEEE Geosci. Remote Sens. Lett., 2:192-195.
  21. Freire, S.L.M. and Ulrych, T.J., 1988. Application of singular value decomposition tovertical seismic profiling. Geophysics, 53: 778-785.
  22. Gan, S., Wang, S., Chen, Y. and Chen, X., 2016a. Simultaneous-source separation usingiterative seislet-frame thresholding. IEEE Geosci. Remote Sens. Lett., 13: 197-
  23. Gan, S., Wang, S., Chen, Y., Chen, X., Huang, W. and Chen, H., 2016b. Compressivesensing for seismic data reconstruction via fast projection onto convex sets basedon seislet transform. J. Appl. Geophys., 130: 194-208.
  24. Gan, S., Wang, S., Chen, Y., Chen, X. and Xiang, K., 2016c. Separation of simultaneoussources using a structural-oriented median filter in the flattened dimension.Comput. Geosci., 86: 46-54.
  25. Gan, S., Wang, S., Chen, Y., Qu, S. and Zu, S., 2016d. Velocity analysis of simultaneous-source data using high-resolution semblance-coping with the strong noise.Geophys. J. Internat., 204: 768-779.
  26. VOL27-4_August 2018_Mise en page 1 16/07/2018 09:51 _Rgges46
  27. 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.
  28. Huang, G., Zhou, B., Li, H. and Nobes, D.C., 2017a. Seismic traveltime inversion basedon tomographic equation without integral terms. Comput. Geosci., 104: 29-34.
  29. Huang, W., Wang, R., Chen, X., Chen, Y., 2017b. Double least squares projectionsmethod for signal estimation. IEEE Transact. Geosci. Remote Sens., 55: 4111-
  30. Huang, W., Wang, R., Chen, Y., Li, H. and Gan, S., 2016. Damped multichannel singularspectrum analysis for 3D random noise attenuation. Geophysics, 81: V261-V270.
  31. Huang, W., Wang, R., Li, H. and Chen, Y., 2017c. Unveiling the signals from extremelynoisy microseismic data for high-resolution hydraulic fracturing monitoring.Scient. Rep., 7: 11996.
  32. Huang, W., Wang, R., Yuan, Y., Gan, S. and Chen, Y., 2017d. Signal extraction usingrandomized-order multichannel singular spectrum analysis. Geophysics, 82: V59-v74.
  33. Huang, W., Wang, R., Zhang, D., Zhou, Y., Yang, W. and Chen, Y., 2017e.
  34. Mathematical morphological filtering for linear noise attenuation of seismic data.Geophysics, 82: V369-V384.
  35. Huang, W., Wang, R., Zu, S. and Chen, Y., 2017. Low-frequency noise attenuation inseismic and microseismic data using mathematical morphological filtering.Geophys. J. Internat., 211: 1318-1340.
  36. Hyvarinen, A., Karhunen, J. and Oja, E., 2001. Independent Component Analysis. JohnWiley & Sons, New York.
  37. Li, H., Wang, R., Cao, S., Chen, Y. and Huang, W., 2016a. A method for low-frequencynoise suppression based on mathematical morphology in microseismic monitoring.Geophysics, 81: V159-V167.
  38. Li, H., Wang, R., Cao, S., Chen, Y., Tian, N. and Chen, X., 2016b. Weak signal detectionusing multiscale morphology in microseismic monitoring. J. Appl. Geophys., 133:39-49.
  39. Li, Q. and Gao, J., 2014. Application of seismic data stacking in time-frequency domain.IEEE Geosci. Remote Sens. Lett., 11: 1484-1488.
  40. Li, Y., Li, Z., Zhang, K. and Lin, Y., 2016c. Frequency-domain full waveform inversionwith rugged free surface based on variable grid finite-difference method. J.Seismic Explor., 25: 543-559.
  41. Lin, H., Li, Y., Ma, H., Yang, B. and Dai, J., 2015. Matching-pursuit-based spatial-tracetime-frequency peak filtering for seismic random noise attenuation. IEEE Geosci.Remote Sens. Lett., 12: 394-398.
  42. Lindstrom, P., Chen, P. and Lee, E.J., 2016. Reducing disk storage of full-3D seismicwaveform tomography (F3DT) through flossy online compression. Comput.Geosci., 93: 45-54.
  43. Liu, G., Fomel, S. and Chen, X., 2011. Stacking angle-domain common-image gathersfor normalization of illumination. Geophys. Prosp., 59: 244-255.
  44. Liu, G., Fomel, S., Jin, L. and Chen, X., 2009. Stacking seismic data using localcorrelation. Geophysics, 74: V43-V48.
  45. Liu, W., Cao, S. and Chen, Y., 2016a. Applications of variational mode decomposition inseismic time-frequency analysis. Geophysics, 81: V365-V378.
  46. Liu, W., Cao, S. and Chen, Y., 2016b. Seismic time-frequency analysis via empiricalwavelet transform. IEEE Geosci. Remote Sens. Lett., 13: 28-32.
  47. Liu, W., Cao, S., Chen, Y. and Zu, S., 2016c. An effective approach to attenuate randomnoise based on compressive sensing and curvelet transform. J. Geophys. Engin.,13: 135-145.
  48. VOL27-4_ August 2018_Mise en page 1 16/07/2018 09:51 -Rgges47
  49. Liu, W., Cao, S., Gan, S., Chen, Y., Zu, S. and Jin, Z., 2016d. One-step slope estimationfor dealiased seismic data reconstruction via iterative seislet thresholding. IEEEGeosci. Remote Sens. Lett, 13: 1462-1466.
  50. Liu, W., Cao, S., Liu, Y. and Chen, Y., 2016e. Synchrosqueezing transform and itsapplications in seismic data analysis. J. Seismic Explor., 25: 27-44.
  51. Liu, W., Cao, S., Wang, Z., Kong, X. and Chen, Y., 2017. Spectral decomposition orhydrocarbon detection based on VMD and teager-kaiser energy. IEEE Geosci.Remote Sens. Lett., 14: 539-543.
  52. Neelamani, R., Dickens, T.A. and Deffenbaugh, M., 2006. Stack-and-denoise: A newmethod to stack seismic datasets. Expanded Abstr., 76th Ann. Internat. SEG Mtg.,New Orleans: 2827-2831.
  53. Ren, C. and Tian, X., 2016. Prestack migration based on asymmetric wave-equationextrapolation. J. Seismic Explor., 25: 375-397.
  54. Schoenberger, M., 1996, Optimum weighted stack for multiple suppression. Geophysics,61: 891-901.
  55. Shen, H., Yan, Y., Chen, C. and Zhang, B., 2016. Multiple-transient surface wave phasevelocity analysis in expanded f-k domain and its application. J. Seismic Explor.,25: 299-319.
  56. Siahsar, M.A.N., Abolghasemi, V. and Chen, Y., 2017a. Simultaneous denoising andinterpolation of 2D seismic data using data-driven non-negative dictionarylearning. Sign. Process. 141: 309-321.
  57. Siahsar, M.A.N., Gholtashi, S., Kahoo, A.R., Chen, W. and Chen, Y., 2017b. Data-drivenmulti-task sparse dictionary learning for noise attenuation of 3D seismic data.Geophysics, 82: V385-V396.
  58. Siahsar, M.A.N., Gholtashi, S., Olyaei, E., Chen, W. and Chen, Y., 2017c. Simultaneousdenoising and interpolation of 3D seismic data via damped data-driven optimalsingular value shrinkage. IEEE Geosci. Remote Sens. Lett., 14: 1086-1090.
  59. Tian, Y., Li, Y. and Yang, B., 2014. Variable-eccentricity hyperbolic-trace TFPF forseismic random noise attenuation. IEEE Transact. Geosci. Remote Sens., 52:6449-6458.
  60. Wang, Y., Zhou, H., Chen, H. and Chen, Y., 2018. Adaptive stabilization for Q-compensated reverse time migration. Geophysics, 83: -S32.
  61. Wang, Y., Zhou, H., Zu, S., Mao, W. and Chen, Y., 2017. Three-operator proximalsplitting scheme for 3D seismic data reconstruction. IEEE Geosci. Remote Sens.Lett., 14: 1830-1834.
  62. 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.
  63. Xie, J., Chen, W., Zhang, D., Zu, S. and Chen, Y., 2017. Application of principalcomponent analysis in weighted stacking of seismic data. IEEE Geosci. RemoteSens. Lett., 14: 1213-1217.
  64. Yang, W., Wang, R., Wu, J., Chen, Y., Gan, S. and Zhong, W., 2015. An efficient andeffective common reflection surface stacking approach using local similarity andplane-wave flattening. J. Appl. Geophys., 117: 67-72.
  65. Zhang, D., Chen, Y., Huang, W. and Gan, S., 2016a. Multi-step damped multichannelsingular spectrum analysis for simultaneous reconstruction anddenoising of 3Dseismic data. J. Geophys. Engin., 13: 704-720.
  66. Zhang, D., Zhou, Y., Chen, H., Chen, W., Zu, S. and Chen, Y., 2017. Hybrid rank-sparsity constraint model for simultaneous reconstruction and denoising of 3Dseismic data. Geophysics, 82: V351-V367.
  67. Zhang, L., Wang, Y., Zheng, Y. and Chang, X., 2015. Deblending using a high-resolution
  68. Radon transform in a common midpoint domain. J. Geophys. Engin., 12: 167.
  69. VOL27-4_August 2018_Mise en page 1 16/07/2018 09:51 _Rgges48
  70. Zhang, Q., Chen, Y., Guan, H. and Wen, J., 2016b. Well-log constrained inversion forlithology characterization: a case study at the jz25-1 oil field, China. J. SeismicExplor., 25: 121-129.
  71. Zhong, W., Chen, Y., Gan, S. and Yuan, J., 2016. L1/2 norm regularization for 3Dseismic data interpolation. J. Seismic Explor., 25: 257-268.
  72. Zhou, Y., Li, S., Xie, J., Zhang, D. and Chen, Y., 2017a. Sparse dictionary learning forseismic noise attenuation using a fast orthogonal matching pursuit algorithm. J.Seismic Explor., 26: 433-454.
  73. Zhou, Y., Li, S., Zhang, D. and Chen, Y., 2018. Seismic noise attenuation using an onlinesubspace tracking algorithm. Geophys. J. Internat., 212: 1072-1097.
  74. Zhou, Y., Shi, C., Chen, H., Xie, J., Wu, G. and Chen, Y., 2017b. Spike-like blendingnoise attenuation using structural low-rank decomposition. IEEE Geosci. RemoteSens. Lett., 14: 1633-1637.
  75. Zu, S., Zhou, H., Chen, Y., Pan, X., Gan, S. and Zhang, D., 2016a. Interpolating big gapsusing inversion with slope constraint. IEEE Geosci. Remote Sens. Lett., 13: 1369-
  76. Zu, S., Zhou, H., Chen, Y., Qu, S., Zou, X., Chen, H. and Liu, R., 2016b. A periodicallyvarying code for improving deblending of simultaneous sources in marineacquisition. Geophysics, 81: V213-V225.
  77. Zu, S., Zhou, H., Li, Q., Chen, H., Zhang, Q., Mao, W. and Chen, Y., 2017a. Shot-domain deblending using least-squares inversion. Geophysics, 82. V241-V256.
  78. Zu, S., Zhou, H., Mao, W., Zhang, D., Li, C., Pan, X. and Chen, Y., 2017b. Iterativedeblending of simultaneous-source data using a coherency-pass shaping operator.Geophys. J. Internat., 211: 541-557.
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Journal of Seismic Exploration, Electronic ISSN: 0963-0651 Print ISSN: 0963-0651, Published by AccScience Publishing