吉林大学学报(地球科学版) ›› 2015, Vol. 45 ›› Issue (3): 962-970.doi: 10.13278/j.cnki.jjuese.201503305

• 地球探测与信息技术 • 上一篇    

基于OC-Seislet变换的海洋涌浪噪声衰减方法

勾福岩1, 刘财1, 刘洋1, 王博1,2, 冯晅1   

  1. 1. 吉林大学地球探测科学与技术学院, 长春 130026;
    2. 石家庄经济学院勘查技术与工程学院, 石家庄 050031
  • 收稿日期:2014-09-20 发布日期:2015-05-26
  • 通讯作者: 刘洋(1979),男,教授,博士生导师,主要从事地震数据处理、海洋电磁数据处理和地质-地球物理综合研究等工作,E-mail:yangliu1979@jlu.edu.cn。 E-mail:yangliu1979@jlu.edu.cn
  • 作者简介:勾福岩(1983),男,博士研究生,主要从事地震数据处理等工作,E-mail:gouyuxin1010@sina.com
  • 基金资助:

    国家自然科学基金项目(41274119,41174080);国家"863"计划项目(2012AA09A20103)

Swell Noise Attenuation Methods Based on OC-Seislet Transform

Gou Fuyan1, Liu Cai1, Liu Yang1, Wang Bo1,2, Feng Xuan1   

  1. 1. College of GeoExploration Science and Technology, Jilin University, Changchun 130026, China;
    2. Exploration Technology and Engineering College, Shijiazhuang University of Economics, Shijiazhuang 050031, China
  • Received:2014-09-20 Published:2015-05-26

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摘要：

在海上地震资料采集过程中,涌浪噪声是一种常见的噪声干扰,这类噪声一般表现为低频、强能量、长周期,使用一般的方法很难在去噪的同时达到信号保真的效果。笔者针对该噪声的特征,选取了基于波动方程炮检距连续(offset continuation,OC)算子的OC-Seislet变换方法进行消噪处理;该方法应用OC算子来表征复杂波场,对含噪声数据进行压缩,在变换域通过软阈值处理实现信噪分离,再将结果反变换到数据域,从而达到去除涌浪噪声的目的。通过对模型数据和实际数据的处理,验证了OC-Seislet变换方法能够在去除原始数据中涌浪噪声的同时,最大程度地保护复杂构造下的地震波信息。

关键词: 炮检距连续算子, OC-Seislet变换, 涌浪噪声, 软阈值

Abstract:

In the process of the marine seismic acquisition, swell noise is a kind of common noise, which has low frequency, high energy, and long period. A general approach is difficult to achieve the balance between denoising and signal protection. According to the characteristics of the swell noise, we applied the OC-Seislet transform method based on wave-equation offset-continuation (OC) operator for denoising. The proposed method characterizes the complex seismic wavefield by OC operator, compresses the noise data by optimal transform-basis function, use soft threshold to separate the signals from noise in the transform domain, and then invert transform the interpolated result to the data domain so as to remove the swell noise. After applying the real data to the model, OC-Seislet transform method proves that it can remove the swell noise from the original data; meanwhile, it can protect seismic events even in a structural complex area.

Key words: offset continuation operator, OC-Seislet transform, swell noise, soft threshold

中图分类号: 

  • P631.4

[1] Hassan H H, Peirce J W. Empirical Mode Decomposition (EMD) of Potential Field Data: Airborne Gravity Data as an Example[C]//SEG Technical Program Expanded Abstracts.[S.l.]:SEG, 2005: 704-706.

[2] 陈见伟. 深海地震资料叠前去噪方法研究[J]. 海洋石油, 2009, 28(2): 29-35. Cheng Jianwei. Study on Seismic Data Prestack Noise Attenuation Techniques in Deep Water[J]. Offshore Oil, 2009, 28(2): 29-35.

[3] 宋家文, 陈小宏, 刘国昌. 地震道随机重排联合EM算法衰减高振幅涌浪噪声[C]//中国地球物理学会第二十七届年会论文集. 北京:中国地球物理学会, 2011: 667. Song Jiawen, Chen Xiaohong, Liu Guochang. High-Amplitude Swell Noise Attenuation Using Seismic Trace Reordering and EM Algorithm[C]// 27th Annual Meeting Proceedings of Chinese Geophysical Society. Beijing: Chinese Geophysical Society, 2001: 667.

[4] 徐善辉. 基于Hilbert-Huang变换的地震噪声衰减与薄层预测技术研究[D]. 长春: 吉林大学, 2012. Xu Shanhui. The Study of Seismic Noise Attenuation and Thin-Layer Prediction Technique Based on Hilbert-Huang Transform[D]. Changchun: Jilin University, 2012.

[5] 周伟, 王瑞燕, 周卓月. 希尔伯特-黄变换在海浪资料分析中的应用[J]. 信息技术, 2014, 38(3): 43-46. Zhou Wei, Wang Ruiyan, Zhou Zhuoyue. Hilbert-Huang Transform Analysis of Wave Data[J]. Information Technology, 2014, 38(3): 43-46.

[6] 牛伟华, 吴春红. 海洋地震资料中强能量噪声压制的分频振幅衰减法应用研究[J]. 石油物探, 2013, 52(4): 394-401. Niu Weihua, Wu Chunhong. Application of Frequency-Dependent Amplitude Attenuation Method to Suppress Strong-Energy Noise in Offshore Seismic Data[J]. Geophysical Prospecting for Petroleum, 2013, 52(4): 394-401.

[7] Bekara M. Toward an Automatic Swell Noise Attenuation Process[D]// 76th EAGE Conference and Exhibition.[S.l.]:EAGE, 2014.

[8] Hu C, Lu W. A Hybrid Method for Strong Low-Frequency Noise Suppression in Prestack Seismic Data[J]. Journal of Applied Geophysics, 2014, 108: 78-89.

[9] 巩向博, 韩立国, 王恩利, 等. 压制噪声的高分辨率 Radon 变换法[J]. 吉林大学学报:地球科学版, 2009, 39(1): 152-157. Gong Xiangbo,Han Liguo,Wang Enli,et al.Denoising Via High Resolution Radon Transform[J]. Journal of Jilin University: Earth Science Edition, 2009, 39(1): 152-157.

[10] 王德利, 仝中飞, 唐晨, 等. Curvelet 阈值迭代法地震随机噪声压制[J]. 应用地球物理, 2010, 7(4): 315-324. Wang Deli,Tong Zhongfei,Tang Chen,et al.An Iterative Curvelet Thresholding Algorithm for Seismic Random Noise Attenuation[J]. Applied Geophysics, 2010, 7(4): 315-324.

[11] 李海山, 吴国忱, 印兴耀. 形态分量分析在去除地震资料随机噪声中的应用[J]. 吉林大学学报:地球科学版, 2012, 42(2): 554-561. Li Haishan, Wu Guochen, Yin Xingyao. Application of Morphological Component Analysis to Remove of Random Noise in Seismic Data[J]. Journal of Jilin University: Earth Science Edition, 2012,42(2): 554-561.

[12] 刘琼, 曹思远, 关守军. 基于小波域稀疏性的地震数据去噪[C]//中国地球物理第十九分会场论文集. 北京:中国地球物理学会, 2013: 610. Liu Qiong, Cao Siyuan, Guan Shoujun. Denoising of Seismic Data Based on Sparsity in Wavelet Domain[C]// 19th Session Proceedings of Chinese Geophysical. Beijing: Chinese Geophysical Society, 2013:610.

[13] 徐明华, 李瑞, 路交通, 等. 基于压缩感知理论的缺失地震数据重构方法[J]. 吉林大学学报:地球科学版, 2013,43(1):283-290. Xu Minghua, Li Rui, Lu Jiaotong, et al. Study on the Recovery of Aliasing Seismic Data Based on the Compressive Sensing Theory[J]. Journal of Jilin University: Earth Science Edition, 2013,43(1): 283-290.

[14] Fomel S. Towards the Seislet Transform[C]// SEG Expanded Abstracts of 76th Annual International Meeting.[S.l.]:SEG, 2006:2847-2851.

[15] Liu Y, Fomel S. OC-Seislet: Seislet Transform Construction with Differential Offset Continuation[J]. Geophysics, 2010, 75(6): 235-245.

[16] Fomel S. Theory of Differential Offset Continuation[J]. Geophysics, 2003, 68(2): 718-732.

[17] Sweldens W. Lifting Scheme: A New Philosophy in Biorthogonal Wavelet Constructions[C]// Wavelet Applications in Signal and Image Processing:III.[S.l.]:SPIE, 1995: 68-79.

[18] Sweldens W, Schröder P. Building Your Own Wavelets at Home[C]//Wavelets in Computer Graphics.New Orleans:SIGGRAPH, 1996:15-87.

[19] Fomel S. Applications of Plane-Wave Destruction Filters[J]. Geophysics, 2002, 67(6): 1946-1960.

[20] Fomel S, Liu Y. Seislet Transform and Seislet Frame[J]. Geophysics, 2010, 75(3): 25-38.

[21] Fomel S. Predictive Painting of 3D Seismic Volumes[J]. Geophysics, 2010, 75(4): 25-30.

[22] Fomel S. Velocity Analysis Using AB Semblance[J]. Geophysical Prospecting, 2009, 57(3): 311-321.
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