基于α-trimmed矢量中值滤波压制同步激发邻炮干扰

王文闯, 李合群, 赵波, 罗国安, 张旭东, 何思琪

石油地球物理勘探 ›› 2014, Vol. 49 ›› Issue (6) : 1061-1067.

PDF(11519 KB)
PDF(11519 KB)
石油地球物理勘探 ›› 2014, Vol. 49 ›› Issue (6) : 1061-1067.
处理技术

基于α-trimmed矢量中值滤波压制同步激发邻炮干扰

  • 王文闯1, 李合群1, 赵波1, 罗国安1, 张旭东1, 何思琪2
作者信息 +

Suppression of crosstalk from simultaneous sources with alpha-trimmed vector median filtering

  • Wang Wenchuang1, Li Hequn1, Zhao Bo1, Luo Guoan1, Zhang Xudong1, He Siqi2
Author information +
文章历史 +

摘要

本文提出的α-trimmed矢量中值滤波属于压噪类算法,相对于矢量中值滤波,该方法在压制邻炮干扰的同时,能更好地保留主炮能量;相对于迭代反演算法,具有更高的计算效率,从而满足海量数据的处理需求,并且该方法有很好的鲁棒性,可以适用于各类数据.合成数据和实际数据的试验结果表明了该方法的有效性.

Abstract

The α-trimmed vector median filtering (ATVMF) proposed in this paper is a kind of noise attenuation algorithms. Compared to vector median filter (VMF), the ATVMF can preserve the energy of the current shot as much as possible when suppressing the crosstalk from adjacent shots. Compared to the iterative inversion algorithms, this method is more efficient and robust. Tests on synthetic and field data prove the effectiveness of this method.

关键词

同步激发采集 / 邻炮干扰 / 矢量中值滤波 / α-trimmed

Key words

simultaneous sources / crosstalk / vector median filter / alpha-trimmed

引用本文

导出引用
王文闯, 李合群, 赵波, 罗国安, 张旭东, 何思琪. 基于α-trimmed矢量中值滤波压制同步激发邻炮干扰[J]. 石油地球物理勘探, 2014, 49(6): 1061-1067
Wang Wenchuang, Li Hequn, Zhao Bo, Luo Guoan, Zhang Xudong, He Siqi. Suppression of crosstalk from simultaneous sources with alpha-trimmed vector median filtering[J]. Oil Geophysical Prospecting, 2014, 49(6): 1061-1067
中图分类号: P631   

参考文献

[1] Bagaini C. Overview of simultaneous vibroseis acquisition methods. SEG Technical Program Expanded Abstracts,2006,25:70-74. [2] Bouska J. Distance separated simultaneous sweeping: efficient 3D vibroseis acquisition in Oman. SEG Technical Program Expanded Abstracts,2009,28:1-5. [3] Huo S, Luo Y and Kelamis P. Simultaneous sources separation via multi-directional vector-median filter. Geophysics, 2012, 77(4):V123-V131. [4] Hoover G et al. Infield processing of an ISSTM dataset south-east Algeria. SEG Technical Program Expanded Abstracts, 2010,29:468-472. [5] Zhang C and Olofsson B. Separating simultaneous source data using weighted tau-p transform. EAGE 74th Annual Meeting, 2012. [6] Mahdad A, Doulgeris P and Blacquiere G. Separation of blended data by iterative estimation and subtraction of blending interference noise. Geophysics, 2011,76(3):Q9-Q17. [7] Akerberg P et al. Simultaneous source separation by sparse Radon transform. SEG Technical Program Expanded Abstracts, 2008,27:2801-2805. [8] Abma R L et al. High quality separation of simultaneous sources by sparse inversion. EAGE 72th Annual Meeting, 2010,29. [9] Wason H, Herrmann F J and Lin T Y. Sparsity-promoting recovery from simultaneous data: a compressive sensing approach. SEG Technical Program Expanded Abstracts, 2011,30:6-10. [10] Liu Yike. Noise reduction by vector median filtering. Geophysics, 2013, 78(3): V79-V86. [11] Astola J, Haavisto H P and Neuvo Y. Vector median filters. Proceedings of the IEEE, 1990,78: 678-689. [12] Bednar J and Watt T. Alpha-trimmed means and their relationship to median filters. IEEE Transactions on Acoustics, Speech and Signal Processing,1984,32(1):145-153. [13] Gersztenkorn A and Scales J A. Smoothing seismic tomograms with alpha-trimmed means. Geophysical Journal, 1988, 92(1):67-72.
PDF(11519 KB)

41

Accesses

0

Citation

Detail

段落导航
相关文章

/