期刊文献+

点接收地震资料背景噪声的自动判别与压制 被引量:3

Identification and suppression of background noise on point receiver seismic data
下载PDF
导出
摘要 在三分量采集或高密度单点采集中,每个地震道只用一个检波器接收,背景干扰非常严重,应用传统的去噪方法很难对其进行有效的压制。本文探讨了一种点接收地震数据压制背景噪声的新方法,处理过程分为两步,首先根据背景干扰在初至前的能量分布特征进行干扰道的判别,然后根据干扰道与正常道在频率域的不同特征,利用正常道的振幅谱包络内插出干扰道的振幅谱包络,再对干扰道频谱进行约束,压制背景散射和异常道的能量,提高资料的叠加品质。由于频率域的干扰波压制是针对干扰道进行,而且压制的是有效波的非主频段,因此具有振幅保真的特点。该方法在实际数字检波器试验资料处理中已得到成功应用。 In 3Cor high density seismic surveys,pointreceiver,viz.one sensor at a station,is often adopted.However records acquired by this approach are always dominated by background noise.This kind of noise cannot be removed substantially by conventional noise attenuation methods.We propose in this paper a new method for suppressing the background noise on point receiver data.The method includes two steps.Firstly,we identify noisy traces based on the energy distribution before the first break.Then we interpolate the amplitude spectrum envelop of the noisy trace based on the amplitude spectrum envelop of an adjacent normal trace in frequency domain.Therefore noise on the noisy trace is minimized as its spectrum envelops of noisy trace is restricted.Not only data S/N ratio is improved but also the amplitude is preserved because the suppression is done only on noisy traces and suppression frequency is out of the dominant frequency.The proposed method has been applied to field seismic data and good result has been achieved.Noise from producing wells and vehicles has been effectively suppressed and data quality of stack sections is greatly improved.
出处 《石油地球物理勘探》 EI CSCD 北大核心 2014年第4期648-651,1-2,共4页 Oil Geophysical Prospecting
关键词 背景噪声 滤波 谱约束 点接收 组合接收 background noise,filtering,spectrum restriction,point receiver,array receiver
  • 相关文献

参考文献5

  • 1Ongkiehong L,Huizer W. Dynamic range of the seismic system. First Break, 1987, 5(12):435-439.
  • 2Ongkiehong L A. Changing philosophy in seismic data acquisition. First Break,1988, 6(9): 281-284.
  • 3Jenkerson M. Signal preserving swell noise attenuation using point receiver seismic data. SEG Technical Program Expanded Abstracts, 2000, 19:2085-2087.
  • 4Burch D, Kappius R, Tessman J. Successful noise attenuation using point receivers in the presence of aliased noise. SEG Technical Program Expanded Abstracts,2004, 23:13-16.
  • 5陆文凯.基于离散余弦变换的地震随机噪声压制技术[J].石油地球物理勘探,2011,46(2):202-206. 被引量:17

二级参考文献10

  • 1Ulrych T Jet al. Signal and noise separation: art and science. Geophysics, 1999, 64(5) : 1648-1656.
  • 2Lu W K. Adaptive noise attenuation of seismic images based on singular value decomposition and texture direction detection. Journal of Geophysics and Engineering, 2006, 3(1): 28-34.
  • 3Abma R and CIaerbout J. Lateral prediction for noise attenuation by T-X and F-X techniques. Geophysics, 1995, 60(6): 1887-1896.
  • 4Canales L L. Random noise reduction. SEG Technical Program Expanded Abstracts, 1984,3 : 525 - 527.
  • 5Gulunay N. FXDECON and complex Wiener prediction filter. SEG Technical Program Expanded Abstracts, 1986,5:279-281.
  • 6Treitel S. The complex Wiener filter. Geophysics, 1974, 39(2): 169-173.
  • 7Gonzalez R C and Woods R E. Digital Image Processing. Pearson Education North Asia Limited, 2002.
  • 8Soon I Yet al. Noisy speech enhancement using discrete cosine transform. Speech Communication, 1998, 24(3): 249-257.
  • 9Lu W K. Random noise suppression based on discrete cosine transform. SEG Technical Program Expanded Abstracts, 2007, 26:2668~2671.
  • 10Ahmed N et al. Discrete cosine transform. IEEE Trans Comput, 1974, C-23(1): 90-93.

共引文献16

同被引文献194

引证文献3

二级引证文献13

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部