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余昌辉. 基于曲波变换的地震随机噪声压制新方法[J]. 海洋石油, 2017, 37(1): 11-15. DOI: 10.3969/j.issn.1008-2336.2017.01.011
引用本文: 余昌辉. 基于曲波变换的地震随机噪声压制新方法[J]. 海洋石油, 2017, 37(1): 11-15. DOI: 10.3969/j.issn.1008-2336.2017.01.011
YU Changhui. A New Method to Suppress Random Seismic Noise Based on Curvelet Transform[J]. Offshore oil, 2017, 37(1): 11-15. DOI: 10.3969/j.issn.1008-2336.2017.01.011
Citation: YU Changhui. A New Method to Suppress Random Seismic Noise Based on Curvelet Transform[J]. Offshore oil, 2017, 37(1): 11-15. DOI: 10.3969/j.issn.1008-2336.2017.01.011

基于曲波变换的地震随机噪声压制新方法

A New Method to Suppress Random Seismic Noise Based on Curvelet Transform

  • 摘要: 此文提出了一种通过对曲波系数进行处理来实现地震随机噪声压制的新方法。地震信号经曲波变换得到的曲波系数在各尺度各方向的分布仍具有同相轴特征,但噪声部分的曲波系数的分布是随机的,故可将曲波系数作为新的目标信号,对其进行“去噪”,最后用经过处理的曲波系数还原地震数据实现对随机噪声的压制。数值算例验证了该方法的正确性和有效性,并与用离散余弦变换和小波变换两种方法处理曲波系数的结果进行对比。实验表明用曲波变换处理曲波系数的去噪效果要优于后两者,且比单纯进行一次曲波变换去噪的结果在信噪比上有明显提高。

     

    Abstract: This paper proposes a new method to suppress the random seismic noise by disposing the curvelet transform (CVT) coefficient. The curvelet coefficients of seismic signal after CVT still remain the characteristics of seismic event on different scales and along different directions, but the curvelet coefficients of noise distribute randomly. The curvelet coefficient, therefore, can be taken as the new target signal and de-noised. Then the processed CVT coefficients are used to restore the seismic data and to suppress the random seismic noises. Numerical experiment verified the correctness and validity of this method. Compared with the result obtained by discrete cosine transform and wavelet transform, the de-noising effect of CVT is better, and also better than that of only once CVT in signal to noise ratio.

     

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