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Efficient deplending using median filtering without correct normal moveout – with comparison on migrated images

MIN BAI,  JUAN WU
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School of Resources and Environment, North China University of Water Resources and Electric Power, Zhengzhou 450045, P.R. China. baimin@ncwu.edu.cn,
JSE 2017, 26(5), 455–478;
Submitted: 12 December 2016 | Accepted: 1 August 2017 | Published: 1 October 2017
© 2017 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/ )
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Abstract

The benefits of simultaneous source acquisition are compromised by the challenges of dealing with intense blending noise. While the median filtering approach can be effectively used in attenuating blending interference due to its superb performance in rejecting spiky noise, it requires two or three times of normal moveout (NMO) based velocity analysis in order to exactly flatten the seismic data and thus it is computationally expensive. In this paper, we propose an efficient deblending framework that is based on a modified median filtering approach and does not require a correct NMO correction. The modified median filtering approach depends on a novel median filter that can spatially change the filter length and can deal with curved events due to the incorrect NMO. The median filter with variable window length is an adaptive median filter, thus it can be conveniently used in the presented processing workflow without the need of much human input. We not only compare the deblending performance in the data space, but also present detailed comparison in-the image space. An important criterion we use to compare the deblending performance is the local correlation between deblended data and removed blending noise.

References
  1. Abma, R., 2014. Shot scheduling in simultaneous shooting. Expanded Abstr., 84th Ann. Internat.SEG Mtg., Denver: 94-98.
  2. Abma, R., Zhang, Q., Arogunmati, A. and Beaudoin, G., 2012. An overview of BPs marineindependent simultaneous source field trials. Expanded Abstr., 82nd Ann. Internat. SEGMtg., Las Vegas: 1-5.
  3. Abma, R.L., T. Manning, M. Tanis, J. Yu, and M. Foster, 2010. High quality separation ofsimultaneous sources by sparse inversion. Extended Abstr., 72nd EAGE Conf., Barcelona.
  4. Akerberg, P., G. Hampson, J. Rickett, H. Martin, and J. Cole, 2008. Simultaneous sourceseparation by sparse radon transform. Expanded Abstr., 78th Ann. Internat. SEG Mtg., LasVegas: 2801-2805.
  5. Beasley, C.J., 2008. A new look at marine simultaneous sources. The Leading Edge, 27: 914-917.
  6. Beasley, C.J., R.E. Chambers and Z. Jiang, 1998. A new look at simultaneous sources. Expanded
  7. Abstr., 68th Ann. Internat. SEG Mtg., New Orleans: 133-135.
  8. Beasley, C.J., B. Dragoset and A. Salama, 2012. A 3D simultaneous source field test processedusing alternating projections. A new active separation method. Geophys. Prosp., 60: 591-
  9. Berkhout, A., D. Verschuur and G. Blacquiére, 2012. Illumination properties and imaging promisesof blended, multiple-scattering seismic data. A tutorial. Geophys. Prosp., 60: 713-732.
  10. Berkhout, A.J., 2008. Changing the mindset in seismic data acquisition. The Leading Edge, 27: 924-
  11. Chen, W., J. Yuan, Y. Chen and S. Gan, 2017a. Preparing the initial model for iterative deblendingby median filtering. J. Seismic Explor., 26: 25-47.
  12. Chen, Y., 2015a. Deblending using a space-varying median filter. Explor. Geophys., 46: 332-341.
  13. Chen, Y., 2015b. Iterative deblending with multiple constraints based on shaping regularization.IEEE Geosci. Remote Sens. Lett., 12: 2247-2251.
  14. Chen, Y., 2016. Dip-separated structural filtering using seislet thresholding and adaptive empiricalmode decomposition based dip filter. Geophys. J. Internat., 206: 457-469.
  15. Chen, Y., 2017, Fast dictionary learning for noise attenuation of multidimensional seismic data.Geophys. J. Internat., 209: 21-31.
  16. Chen, Y., H. Chen, K. Xiang, and X. Chen, 2017b. Preserving the discontinuities in least- squaresreverse time migration of simultaneous-source data. Geophysics, 82(3): 5-S196.476 BAI & WU
  17. Chen, Y. and S. Fomel, 2015. Random noise attenuation using local signal-and-noiseorthogonalization. Geophysics, 80(6): WD1-WD9.
  18. Chen, Y., S. Fomel and J. Hu, 2014a. Iterative deblending of simultaneous-source seismic datausing seislet-domain shaping regularization. Geophysics, 79: V179-V189.
  19. Chen, Y. and Z. Jin, 2015. Simultaneously removing noise and increasing resolution of seismic datausing waveform shaping. IEEE Geosci. Remote Sens. Lett., 13: 102-104.
  20. Chen, Y. and J. Ma, 2014. Random noise attenuation by f-x empirical mode decompositionpredictive filtering. Geophysics, 79: V81-V91.
  21. Chen, Y., J. Ma and S. Fomel, 2016. Double-sparsity dictionary for seismic noise attenuation.Geophysics, 81(2): V17-V30.
  22. Chen, Y., J. Yuan, Z. Jin, K. Chen and L. Zhang, 2014b. Deblending using normal moveout andmedian filtering in common-midpoint gathers. J. Geophys. Engineer., 11: 045012.
  23. Chen, Y., J. Yuan, S. Zu, S. Qu and S. Gan, 2015. Seismic imaging of simultaneous-source datausing constrained least-squares reverse time migration. J. Appl. Geophys., 114: 32-35.
  24. Chen, Y., Y. Zhou, W. Chen, S. Zu, W. Huang and D. Zhang, 2017c. Empirical low rankdecomposition for seismic noise attenuation. IEEE Transact. Geosci. Remote Sens.doi: 10.1109/TGRS.2017.2698342.
  25. Choi, Y. and T. Alkhalifah, 2012. Application of multi-source waveform inversion to marinestreamer data using the global correlation norm. Geophys. Prosp., 60: 748-758.
  26. Doulgeris, P., K. Bube, G. Hampson and G. Blacquiére, 2012. Convergence analysis of acoherency-constrained inversion for the separation of blended data. Geophys. Prosp., 60:769-781.
  27. Ebrahimi, S., A.R. Kahoo, Y. Chen and M.J. Porsani, 2017. A high-resolution weighted absemblance for dealing with amplitude-variation-with-offset phenomenon. Geophysics, 82(2):V85-V93.
  28. Fomel, S., 2007. Local seismic attributes. Geophysics, 72: A29-A33.
  29. Gan, S., Y. Chen, S. Wang, X. Chen, W. Huang and H. Chen, 2016a. Compressive sensing forseismic data reconstruction using a fast projection onto convex sets algorithm based on theseislet transform. J. Appl. Geophys., 130: 194-208.
  30. Gan, S., Y. Chen, S. Zu, S. Qu and W. Zhong, 2015a. Structure-oriented singular valuedecomposition for random noise attenuation of seismic data. J. Geophys. Engineer. 12: 262-
  31. Gan, S., S. Wang, Y. Chen, J. Chen, W. Zhong and C. Zhang, 2016b, Improved random noiseattenuation using f-x empirical mode decomposition and local similarity. Applied Geophysics,13, 127-134.
  32. Gan, S., S. Wang, Y. Chen and X. Chen, 2016c, Simultaneous-source separation using iterativeseislet-frame thresholding. IEEE Geosci. Remote Sens. Lett., 13: 197-201.
  33. Gan, S., S. Wang, Y. Chen, X. Chen and K. Xiang, 2016d. Separation of simultaneous sourcesusing a structural-oriented median filter in the flattened dimension. Comput. Geosci., 86:46-54.
  34. Gan, S., S. Wang, Y. Chen, S. Qu and S. Zu, 2016e. Velocity analysis of simultaneous-source datausing high-resolution semblance-coping with the strong noise. Geophys. J. Internat., 204:768-779.
  35. Gan, S., S. Wang, Y. Chen, Y. Zhang and Z. Jin, 2015b. Dealiased seismic data interpolation usingseislet transform with low-frequency constraint. IEEE Geosci. Remote Sens. Lett., 12: 2150-
  36. Garotta, R., 1983. Simultaneous recording of several vibroseis seismic lines. Expanded Abstr., 53rdAnn. Internat. SEG Mtg., Las Vegas: 308-310.
  37. Guitton, A. and E. Daz, 2012. Attenuating crosstalk noise with simultaneous source full waveforminversion. Geophys. Prosp., 60: 759-768.
  38. Hampson, G., J. Stefani and F. Herkenhoff, 2008. Acquisition using simultaneous sources.
  39. Expanded Abstr., 78th Ann. Internat. SEG Mtg., Las Vegas: 2816-2820.EFFICIENT DEBLENDING WITHOUT CNMO 477
  40. Huang, W., R. Wang, X. Chen and Y. Chen, 2017a. Double least squares projections method forsignal estimation. IEEE Transact. Geosci. Remote Sens.doi. 10.1109/TGRS.2017.2688420.
  41. Huang, W., R. Wang, Y. Chen, H. Li and S. Gan, 2016. Damped multichannel singular spectrumanalysis for 3D random noise attenuation. Geophysics, 81(4): V261-V270.
  42. Huang, W., R. Wang, Y. Yuan, S. Gan and Y. Chen, 2017b. Signal extraction usingrandomized-order multichannel singular spectrum analysis. Geophysics, 82(2): V59-V74.
  43. Huo, S., Y. Luo and P.G. Kelamis, 2012. Simultaneous sources separation via multidirectionalvector-median filtering. Geophysics, 77: V123-V131.
  44. Ikelle, L., 2007. Coding and decoding. Seismic data modeling, acquisition and processing. Expanded
  45. Abstr., 77th Ann, Internat. SEG Mtg., San Antonio: 66-70.
  46. IKelie, L.T., 2016. Up-down separation of obs wavefield using ica techniques. J. Seismic Explor. ,25: 419-432.
  47. Ikelle, L.T., K.-J. Lee and H. Spears, 2000. Multishooting method for simulating seismic surveys.
  48. Application to 3D finite-difference modeling. Expanded Abstr., 70th Ann. Internat. SEGMig., Calgary: 2209-2212.
  49. Kim, Y., I. Gruzinov, M. Guo and S. Sen, 2009. Source separation of simultaneous source obcdata. Expanded Abstr., 79rd Ann. Internat. SEG Mtg., Houston, 51-55.
  50. Kong, D., Z. Peng, Y. He and H. Fan, 2016. Seismic random noise attenuation using directionaltotal variation in the shearlet domain. J. Seismic Explor., 25: 321-338.
  51. Li, H., R. Wang, S. Cao, Y. Chen and W. Huang, 2016a. A method for low-frequency noisesuppression based on mathematical morphology in microseismic monitoring. Geophysics,81(3): V159-V 167.
  52. Li, H., R. Wang, S. Cao, Y. Chen, N. Tian and X. Chen, 2016b. Weak signal detection usingmultiscale morphology in microseismic monitoring. J. Appl. Geophys., 133: 39-49.
  53. Li, Y., Z. Li, K. Zhang and Y. Lin, 2016c. Frequency-domain full waveform inversion with ruggedfree surface based on variable grid finite-difference method. J. Seismic Explor. , 25: 543-559.
  54. Lin, T.T. and F.J. Herrmann, 2009. Designing simultaneous acquisitions with compressive sensing.Extended Abstr., 71st EAGE Conf., Amsterdam.
  55. Liu, C., D. Wang, B. Hu and T. Wang, 2016a. Seismic deconvolution with shearlet sparsityconstrained inversion. J. Seismic Explor., 25: 433-445.
  56. Liu, G. and X. Chen, 2013. Noncausal f-x-y regularized nonstationary prediction filtering forrandom noise attenuation on 3D seismic data. J. Appl. Geophys., 93: 60-66.
  57. Liu, G., X. Chen, J. Du and J. Song, 2011. Seismic noise attenuation using nonstationarypolynomial fitting. Appl. Geophys., 8: 18-26.
  58. Liu, W., S. Cao and Y. Chen, 2016b. Application of variational mode decomposition in randomnoise attenuation and time-frequency analysis of seismic data. Extended Abstr. 78th EAGEConf., Vienna. doi. 10.3997/2214- 4609.201601249.
  59. Liu, W., S. Cao and Y. Chen, 2016c. Applications of variational mode decomposition in seismictime-frequency analysis. Geophysics, 81(5): V365-V378.
  60. Liu, W., S. Cao, Y. Chen and S. Zu, 2016d. An effective approach to attenuate random noise basedon compressive sensing and curvelet transform. J. Geophys. Engineer., 13: 135-145.
  61. Liu, W., S. Cao, S. Gan, Y. Chen, S. Zu and Z. Jin, 2016e. One-step slope estimation for dealiasedseismic data reconstruction via iterative seislet thresholding. IEEE Geosci. Remote Sens.Lett., 13: 1462-1466.
  62. Liu, W., S. Cao and Y. He, 2015. Ground roll attenuation using variational mode decomposition.Extended Abstr., 77th EAGE Conf., Madrid.
  63. Liu, W., S. Cao, Y. Liu and Y. Chen, 2016f. Synchrosqueezing transform and its applications inseismic data analysis. J. Seismic Explor., 25: 27-44.
  64. Liu, Y., C. Liu and D. Wang, 2009. A 1D time-varying median filter for seismic random, spike-likenoise elimination. Geophysics, 74: V17-V24.
  65. Mahdad, A., 2012. Deblending of Seismic Data. Ph.D. thesis, Technical University Delft, Delft,Netherlands.478 BAI & WU
  66. Mahdad, A., P. Doulgeris and G. Blacquiére, 2011. Separation of blended data by iterativeestimation and subtraction of blending interference noise. Geophysics, 76: Q9-Q17.
  67. Mahdad, A., P. Doulgeris and G. Blacquiére, 2012. Iterative method for the separation of blendedseismic data. Discussion on the algorithmic aspects. Geophys. Prosp., 60: 782-801.
  68. Martinez, D.R. and G.A. Crews, 1987. Evaluation of simultaneous vibroseis recording. Expanded
  69. Abstr., 57th Ann. Internat. SEG Mtg., New Orleans: 577-580.
  70. Moerig, R., F.J. Barr and D.L. Nyland, 2002. Simultaneous shooting using cascaded sweeps.
  71. Expanded Abstr., 72nd Ann. Internat. SEG Mtg., Salt Lake City: 74-76.
  72. Moore, I., 2010. Simultaneous source - processing and applications. Expanded Abstr., 72nd Ann.Internat. SEG Mtg., Salt Lake City.
  73. Moore, I., B. Dragoset, T. Ommundsen, D. Wilson, C. Ward and D. Eke, 2008. Simultaneoussource separation using dithered sources. Expanded Abstr., 78th Ann. Internat. SEG Mtg.,Las Vegas: 2806-2809.
  74. Qu, S., H. Zhou, H. Chen, S. Zu and L. Zhi, 2014. Separation of simultaneous vibroseis data.
  75. Expanded Abstr., 84th Ann. Internat. SEG Mtg., Denver: 4340-4344.
  76. Qu, S., H. Zhou, Y. Chen, S. Yu, H. Zhang, J. Yuan, Y. Yang and M. Qin, 2015. An effectivemethod for reducing harmonic distortion in correlated vibroseis data. J. Appl. Geophys.115: 120-128.
  77. Qu, S., H. Zhou, R. Liu, Y. Chen, $. Zu, S. Yu, J. Yuan and Y. Yang, 2016. Deblending ofsimultaneous-source seismic data using fast iterative shrinkage-thresholding algorithm withfirm-thresholding. Acta Geophys., 64: 1064-1092.
  78. Ren, C. and X. Tian, 2016. Prestack migration based on asymmetric wave-equation extrapolation.J. Seismic Explor., 25: 375-397.
  79. Shen, H., Y. Yan, C. Chen and B. Zhang, 2016. Multiple-transient surface wave phase velocityanalysis in expanded f-k domain and its application. J. Seismic Explor., 25: 299-319.
  80. Siahsar, M.A.N., S. Gholtashi, E. Olyaei, W. Chen and Y. Chen, 2017. Simultaneous denoisingand interpolation of 3D seismic data via damped data-driven optimal singular valueshrinkage. IEEE Geosci. Remote Sens. Lett. doi.10.1109/LGRS.2017.2697942.
  81. Spitz, S., G. Hampson and A. Pica, 2008. Simultaneous source separation. a prediction- subtractionapproach. Expanded Abstr., 78th Ann. Internat. SEG Mtg., Las Vegas: 2811-2814.
  82. Sun, W.,and H. Wang, 2016. Water-layer-related demultiple method using constraints in the sparse,local tau-p domain. J. Seismic Explor., 25: 463-483.
  83. Wapenaar, K., J. van der Neut and J. Thorbecke, 2012. Deblending by direct inversion.Geophysics, 77: A9-A12.
  84. Ward, R., R. Brune, A. Ross and L. Kumamoto, 1990. Phase encoding of vibroseis signals forsimultaneous multisource acquisition. Expanded Abstr., 60th Ann. Internat. SEG Mtg., SanFrancisco: 938-941.
  85. Werner, H., 1993. Application of vibroseis simultaneous multiple source recording. Expanded
  86. Abstr., 63rd Ann. Internat. SEG Mtg., Washington D.C.: 569-571.
  87. Womack, J.E. and J.R. Cruz, 1988. Simultaneous vibroseis encoding techniques. Expanded Abstr.,58th Ann. Internat. SEG Mtg., Anaheim: 101-104.
  88. Wood, L.C., 1974. Seismic data compression methods. Geophysics, 39: 499-525.
  89. Wu, J., R. Wang, Y. Chen, Y. Zhang, S. Gan and C. Zhou, 2016. Multiples attenuation usingshaping regularization with seislet domain sparsity constraint. J. Seismic Explor., 25: 1-9.
  90. Xue, Y., F. Chang, D, Zhang and Y. Chen, 2016a. Simultaneous sources separation via an iterativerank-increasing method. IEEE Geosci. Remote Sens. Lett., 13: 1915-1919.
  91. Xue, Y., M. Man, S. Zu, F. Chang and Y. Chen, 2017. Amplitude-preserving iterative deblendingof simultaneous source seismic data using high-order radon transform. J. Appl. Geophys. ,139: 79-90.
  92. Xue, Y., J. Yang, J. Ma and Y. Chen, 2016b. Amplitude-preserving nonlinear adaptive multipleattenuation using the high-order sparse radon transform. J. Geophys. Engineer. , 13: 207-219.EFFICIENT DEBLENDING WITHOUT CNMO 479
  93. Xue, Z., Y. Chen, S. Fomel and J. Sun, 2016c. Seismic imaging of incomplete data andsimultaneous-source data using least-squares reverse time migration with shapingregularization. Geophysics, 81: -S20.
  94. Yang, W., R. Wang, Y. Chen, J. Wu, S. Qu, J. Yuan and S. Gan, 2015a. Application of spectraldecomposition using regularized non-stationary autoregression to random noise attenuation.J. Geophys. Engineer., 12: 175-187.
  95. Yang, W., R. Wang, J. Wu, Y. Chen, S. Gan and W. Zhong, 2015b. An efficient and effectivecommon reflection surface stacking approach using local similarity and plane-wave flattening.J. Appl. Geophys., 117: 67-72.
  96. Zhang, D., Y. Chen, W. Huang and S. Gan, 2016a. Multi-step damped multichannel singularspectrum analysis for simultaneous reconstruction and denoising of 3D seismic data. J.Geophys. Engineer., 13: 704-720.
  97. Zhang, H., J. Xu, Q. Liu and J. Zhang, 2016b. Imaging 2d rugged topography seismic data. Atopography pstm approach integrated with residual static correction. J. Seismic Explor. 25:339-358.
  98. Zhong, W., Y. Chen, S. Gan, and J. Yuan, 2016, L, norm regularization for 3D seismic datainterpolation. J. Seismic Explor., 25: 257-268.
  99. Zhou, Y., 2017. A POCS method for iterative deblending constrained by a blending mask. J. Appl.Geophys., 138: 245-254.
  100. Zhou, Y., C. Shi, H. Chen, J. Xie, G. Wu and Y. Chen, 2017. Spike-like blending noiseattenuation using structural low-rank decomposition. IEEE Geosci. Remote Sens. Lett., 14.doi.10.1109/LGRS.2017.2687418.
  101. Zu, S., H. Zhou, Y. Chen, X. Pan, S. Gan and D. Zhang, 2016a. Interpolating big gaps usinginversion with slope constraint. IEEE Geoscience and Remote Sensing Lett., 13,: 1369-1373.
  102. Zu, S., H. Zhou, Y. Chen, S. Qu, X. Zou, H. Chen and R. Liu, 2016b. A periodically varyingcode for improving deblending of simultaneous sources in marine acquisition. Geophysics,81: P1-13.EFFICIENT DEBLENDING WITHOUT CNMO 479
  103. Xue, Z., Y. Chen, S. Fomel and J. Sun, 2016c. Seismic imaging of incomplete data andsimultaneous-source data using least-squares reverse time migration with shapingregularization. Geophysics, 81: -S20.
  104. Yang, W., R. Wang, Y. Chen, J. Wu, S. Qu, J. Yuan and S. Gan, 2015a. Application of spectraldecomposition using regularized non-stationary autoregression to random noise attenuation.J. Geophys. Engineer., 12: 175-187.
  105. Yang, W., R. Wang, J. Wu, Y. Chen, S. Gan and W. Zhong, 2015b. An efficient and effectivecommon reflection surface stacking approach using local similarity and plane-wave flattening.J. Appl. Geophys., 117: 67-72.
  106. Zhang, D., Y. Chen, W. Huang and S. Gan, 2016a. Multi-step damped multichannel singularspectrum analysis for simultaneous reconstruction and denoising of 3D seismic data. J.Geophys. Engineer., 13: 704-720.
  107. Zhang, H., J. Xu, Q. Liu and J. Zhang, 2016b. Imaging 2d rugged topography seismic data. Atopography pstm approach integrated with residual static correction. J. Seismic Explor. 25:339-358.
  108. Zhong, W., Y. Chen, S. Gan, and J. Yuan, 2016, L, norm regularization for 3D seismic datainterpolation. J. Seismic Explor., 25: 257-268.
  109. Zhou, Y., 2017. A POCS method for iterative deblending constrained by a blending mask. J. Appl.Geophys., 138: 245-254.
  110. Zhou, Y., C. Shi, H. Chen, J. Xie, G. Wu and Y. Chen, 2017. Spike-like blending noiseattenuation using structural low-rank decomposition. IEEE Geosci. Remote Sens. Lett., 14.doi.10.1109/LGRS.2017.2687418.
  111. Zu, S., H. Zhou, Y. Chen, X. Pan, S. Gan and D. Zhang, 2016a. Interpolating big gaps usinginversion with slope constraint. IEEE Geoscience and Remote Sensing Lett., 13,: 1369-1373.
  112. Zu, S., H. Zhou, Y. Chen, S. Qu, X. Zou, H. Chen and R. Liu, 2016b. A periodically varyingcode for improving deblending of simultaneous sources in marine acquisition. Geophysics,81: P1-13.
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