The roles of the spatial regularization in seismic deconvolution
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  • 作者:Nan Tian ; Tingen Fan ; Guangyi Hu ; Ruwei Zhang…
  • 关键词:Spatial regularization ; Deconvolution ; Seismic resolution ; Structures
  • 刊名:Acta Geodaetica et Geophysica
  • 出版年:2016
  • 出版时间:March 2016
  • 年:2016
  • 卷:51
  • 期:1
  • 页码:43-55
  • 全文大小:8,570 KB
  • 参考文献:Baziw E, Ulrych TJ (2006) Principle phase decomposition: a new concept in blind seismic deconvolution. IEEE Trans Geosci Remote Sens 44:2271–2281CrossRef
    Crase E, Pica A, Noble M, McDonald J, Tarantola A (1990) Robust elastic nonlinear waveform inversion: application to real data. Geophysics 55:527–538CrossRef
    Debeye HWJ, van Riel P (1990) Lp-norm deconvolution. Geophys Prospect 38:381–403CrossRef
    Gholami A, Sacchi MD (2013) Fast 3D blind seismic deconvolution via constrained total variation and GCV. SIAM J Imagine Sci 6:2350–2369CrossRef
    Hansen PC (1992) Analysis of discrete ill-posed problems by means of the L-curve. SIAM Rev 34:561–580CrossRef
    Heimer A, Cohen I (2008) Multichannel blind seismic deconvolution using dynamic programming. Signal Process 88:1839–1851CrossRef
    Herrmann FJ (2005) Seismic deconvolution by atomic decomposition: a parametric approach with sparseness constraints. Integr Comput Aided Eng 12:69–90
    Kaaresen KF, Taxt T (1998) Multichannel blind deconvolution of seismic signals. Geophysics 63:2093–2107CrossRef
    Kumar V (2009) Incoherent noise suppression and deconvolution using curvelet-domain sparsity. Master thesis, the University of British Columbia
    Lavielle M (1991) 2-D Bayesian deconvolution. Geophysics 56:2008–2018CrossRef
    Levy S, Fullagar PK (1981) Reconstruction of a sparse spike train from a portion of its spectrum and application to high-resolution deconvolution. Geophysics 46:1235–1243CrossRef
    Robinson EA (1984) Seismic inversion and deconvolution. Classical methods. Geophysical Press, Part A
    Robinson EA, Treitel S (1980) Geophysical signal analysis. Prentice-Hall Inc., New Jersey
    Sacchi MD (1997) Reweighting strategies in seismic deconvolution. Geophys J Int 129:651–656
    Taylor HL, Banks SC, McCoy JF (1979) Deconvolution with the l1-norm. Geophysics 49:39–52CrossRef
    Trefethen LN, Bau D (1997) Numerical linear algebra. Society for Industrial and Applied Mathematics (SIAM), PhiladelphiaCrossRef
    Wang JF, Wang XS, Perz M (2006) Structure-preserving regularization for sparse deconvolution. 76th Annual International Meeting, SEG, Expanded Abstracts, pp. 2072–2076
    Wu HZ, Fu LY, Meng XH (2007) Blind deconvolution of seismic signals with non-white reflectivities. Explor Geophys 38:235–241CrossRef
    Yuan SY, Wang SX (2011) Influence of inaccurate wavelet phase estimation on seismic inversion estimation on seismic inversion. Appl Geophys 8:48–59CrossRef
    Yuan SY, Wang SX (2013a) Spectral sparse Bayesian learning reflectivity inversion. Geophys Prospect 61:735–746CrossRef
    Yuan SY, Wang SX (2013b) Edge-preserving noise reduction based on Bayesian inversion with directional difference constraints. J Geophys Eng 10:025001CrossRef
    Yuan SY, Wang SX, Li GF (2012) Random noise reduction using Bayesian inversion. J Geophys Eng 9:60–68
    Yuan SY, Wang SX, Luo CM, He YX (2015) Simultaneous multitrace impedance inversion with transform-domain sparsity promotion. Geophysics 80:R71–R80CrossRef
    Zhang R, Sen MK, Srinivasan S (2013) Multi-trace basis pursuit inversion with spatial regularization. J Geophys Eng 10:035012
  • 作者单位:Nan Tian (1)
    Tingen Fan (1)
    Guangyi Hu (1)
    Ruwei Zhang (2)
    Jiannan Zhou (1)
    Jing Le (1)

    1. CNOOC Research Institute, Taiyanggongnanjie #6, Chaoyang District, Beijing, 100028, China
    2. Guangzhou Marine Geological Survey, Guangzhou, 510760, China
  • 刊物主题:Geophysics/Geodesy;
  • 出版者:Springer Netherlands
  • ISSN:2213-5820
文摘
In this paper we investigate the roles of the spatial regularization in seismic deconvolution. The spatial regularization is described as a L2 norm of the lateral reflectivity difference imposed on multi-trace data misfit term. In essence, the spatial regularization acts as a band-pass filter along the spatial direction. Therefore, it can suppress the high-wavenumber components of the estimated reflectivity, for example, noisy trails like noodles which usually caused by temporal regularized deconvolution. As well, the spatial regularization can help recovering the reflectivity of discarding traces by repeatedly and linearly weighting its neighboring reflectivity, thereby exploring the spatial continuities among traces. Moreover, the spatial regularization can help stabilizing inversion, just like the temporal regularization. Both synthetic and field data examples are used to demonstrate the three roles of the spatial regularization by comparing spatial regularized deconvolution with conventional temporal deconvolution implemented by minimizing a data misfit and a L2 norm or a L1 norm of reflectivity. Furthermore, the synthetic examples also clearly illustrate that the spatial regularization can help yielding a high resolution and meanwhile high signal-to-noise ratio deconvolution result, which matches best with the reference reflectivity.

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