地震勘探中的去噪技术新进展
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摘要
去噪技术在地震数据处理流程中占据着重要地位。随着地震勘探的发展,去噪技术也有了较快的发展。地球物理工作者在不断改进现有去噪方法的同时,也在不断探索新的去噪技术。从噪声分类入手,首先介绍了地震数据中的噪声,然后综合评述了近几年新发展的去噪技术,包括时频分析方法、反偏移方法、径向道变换法和基于支持向量机、形态学、独立成分分析的方法,最后对去噪技术的发展做了展望。
Noise elimination technology plays an important role in the workflow of seismic data processing.With the development of seismic exploration,denoising technology improves quickly.Geophysical workers not only make full use of the existing denoising methods,but also try to find better denoising techniques.In this paper,beginning with the classification of noises,we reviewed the advances in denoising technology in seismic data processing.Comments were made on the newly developed denoising techniques,including time-frequency analysis,demigration,radial trace transform,and methods that are based on support vector machine,morphology,and independent component analysis,respectively.The outlook for denoising technology was presented.
Noise elimination technology plays an important role in the workflow of seismic data processing.With the development of seismic exploration,denoising technology improves quickly.Geophysical workers not only make full use of the existing denoising methods,but also try to find better denoising techniques.In this paper,beginning with the classification of noises,we reviewed the advances in denoising technology in seismic data processing.Comments were made on the newly developed denoising techniques,including time-frequency analysis,demigration,radial trace transform,and methods that are based on support vector machine,morphology,and independent component analysis,respectively.The outlook for denoising technology was presented.
引文
1Herrmann F J.Curvelet-domain matched filtering[J].Expanded Abstracts of78thAnnual International SEG Meeting,2008,3643～3649
2Herrmann F J,Wang D L,Verschuur D J.Adaptive curvelet-domain pri mary-multiple separation[J].Geo-physics,2008,73(3):A17～A21
3Saab R,Wang D L,Yil maz O,et al.Curvelet-based pri-mary-multiple separation from a Bayesian perspective[J].Expanded Abstracts of77thAnnual International SEG Meeting,2007,2575～2579
4Saab R,Wang D L,Yil maz O,et al.Curvelet-based pri-mary-multiple separation from a Bayesian perspective[J].Expanded Abstracts of77thAnnual International SEG Meeting,2007,2510～2514
5Neelamani R,Baumstein A,Ross W.Complex curvelet-based adaptive subtraction of several noise templates[J].Expanded Abstracts of78thAnnual International SEG Meeting,2008,3650～3655
6张素芹,徐义贤,雷栋.基于Curvelet变换的多次波去除技术[J].石油地球物理勘探,2006,41(3):262～265
7Pinnegar C R.Ti me-local Fourier analysis with a scala-ble,phase-modulated analyzing function:The S-trans-form with a complex window[J].Signal Processing,2004,84(7):1167～1176
8赵淑红,朱光明.S变换时频滤波去噪方法[J].石油地球物理勘探,2007,42(4):402～405
9张春梅,尹忠科,肖明霞.基于冗余字典的信号超完备表示与稀疏分解[J].科学通报,2006,51(6):628～633
10肖燕,黄成军,郁惟墉,等.波形匹配追踪算法在多局放脉冲提取中的应用[J].中国电机工程学报,2005,25(11):157～162
11周颖,王涛,冯焕清.匹配追踪算法及其在MI-EEG的应用[J].电路与系统学报,2005,10(4):37～41
12赵天姿,宋炜,王尚旭.基于匹配追踪算法的时频滤波去噪方法[J].石油物探,2008,47(4):367～371
13Chauris H,Nguyen T.Seismic demigration/migration in the curvelet domain[J].Geophysics,2008,73(2):S35～S46
14査树贵,陈洪堤,龚小金.反偏移技术对叠前资料的噪声消除[J].中外能源,2006,11(3):6～20
15Zhu W H,Kelamis P G,Liu Q L.Acquisition/Process-ing—Linear noise attenuation using local radial trace median filtering[J].The Leading Edge,2004,23(8):728～729
16余波,黄中玉,谈大龙,等.径向道滤波法去线性干扰[J].石油物探,2005,44(2):109～112
17夏洪瑞,唐勇.径向道技术在消除相干噪声中的应用[J].勘探地球物理进展,2007,30(6):448～458
18夏洪瑞.径向道变换技术在去噪处理中的改进与发展[J].天然气工业,2007,27(S1):181～182
19刘志鹏,陈小宏,李景叶.径向道变换压制相干噪声方法研究[J].地球物理学进展,2008,23(4):1199～1204
20刘志鹏,陈小宏,李景叶.等径向道变换压制高密度采集资料中的相干噪声[J].石油地球物理勘探,2008,43(3):321～326
21Cherkassky V,Yunqian M.Practical selection of SVM parameters and noise esti mation for SVM regression[J].Neural Networks,2004,17:113～126
22邓小英,李月.Ricker子波核最小二乘支持向量机在地震勘探信号去噪应用中的参数设置研究[J].地球物理学进展,2007,22(3):953～959
23邓小英,李月.基于Ricker子波核的支持向量回归方法及其在地震勘探记录去噪处理中的应用[J].吉林大学学报(地球科学版),2007,37(4):821～827
24王润秋,郑桂娟,付洪洲,等.地震资料处理中的形态滤波去噪方法[J].石油地球物理勘探,2005,40(3):277～282
25李青,王润秋,黄文锋,等.地震资料数据处理中的形态滤波去噪方法[J].PetroleumScience,2005,2(4):20～29
26王润秋,李青,张明.多尺度形态学在地震去噪中的应[J].Applied Geophysics,2008,5(3):197～203
27郑桂娟,王润秋.数学形态学在地震资料处理中的应用探索[J].勘探地球物理进展,2003,26(4):277～281
28王亮.基于独立成分分析的盲信号分离算法研究[M].西安:西北工业大学出版社,2005.20～28
29Lu W K.Adaptive multiple subtraction using inde-pendent component analysis[J].Geophysics,2006,71(5):S179～S184
30彭才,朱仕军,孙建库,等.基于独立成分分析的地震数据去噪[J].勘探地球物理进展,2007,30(1):30～32
2Herrmann F J,Wang D L,Verschuur D J.Adaptive curvelet-domain pri mary-multiple separation[J].Geo-physics,2008,73(3):A17～A21
3Saab R,Wang D L,Yil maz O,et al.Curvelet-based pri-mary-multiple separation from a Bayesian perspective[J].Expanded Abstracts of77thAnnual International SEG Meeting,2007,2575～2579
4Saab R,Wang D L,Yil maz O,et al.Curvelet-based pri-mary-multiple separation from a Bayesian perspective[J].Expanded Abstracts of77thAnnual International SEG Meeting,2007,2510～2514
5Neelamani R,Baumstein A,Ross W.Complex curvelet-based adaptive subtraction of several noise templates[J].Expanded Abstracts of78thAnnual International SEG Meeting,2008,3650～3655
6张素芹,徐义贤,雷栋.基于Curvelet变换的多次波去除技术[J].石油地球物理勘探,2006,41(3):262～265
7Pinnegar C R.Ti me-local Fourier analysis with a scala-ble,phase-modulated analyzing function:The S-trans-form with a complex window[J].Signal Processing,2004,84(7):1167～1176
8赵淑红,朱光明.S变换时频滤波去噪方法[J].石油地球物理勘探,2007,42(4):402～405
9张春梅,尹忠科,肖明霞.基于冗余字典的信号超完备表示与稀疏分解[J].科学通报,2006,51(6):628～633
10肖燕,黄成军,郁惟墉,等.波形匹配追踪算法在多局放脉冲提取中的应用[J].中国电机工程学报,2005,25(11):157～162
11周颖,王涛,冯焕清.匹配追踪算法及其在MI-EEG的应用[J].电路与系统学报,2005,10(4):37～41
12赵天姿,宋炜,王尚旭.基于匹配追踪算法的时频滤波去噪方法[J].石油物探,2008,47(4):367～371
13Chauris H,Nguyen T.Seismic demigration/migration in the curvelet domain[J].Geophysics,2008,73(2):S35～S46
14査树贵,陈洪堤,龚小金.反偏移技术对叠前资料的噪声消除[J].中外能源,2006,11(3):6～20
15Zhu W H,Kelamis P G,Liu Q L.Acquisition/Process-ing—Linear noise attenuation using local radial trace median filtering[J].The Leading Edge,2004,23(8):728～729
16余波,黄中玉,谈大龙,等.径向道滤波法去线性干扰[J].石油物探,2005,44(2):109～112
17夏洪瑞,唐勇.径向道技术在消除相干噪声中的应用[J].勘探地球物理进展,2007,30(6):448～458
18夏洪瑞.径向道变换技术在去噪处理中的改进与发展[J].天然气工业,2007,27(S1):181～182
19刘志鹏,陈小宏,李景叶.径向道变换压制相干噪声方法研究[J].地球物理学进展,2008,23(4):1199～1204
20刘志鹏,陈小宏,李景叶.等径向道变换压制高密度采集资料中的相干噪声[J].石油地球物理勘探,2008,43(3):321～326
21Cherkassky V,Yunqian M.Practical selection of SVM parameters and noise esti mation for SVM regression[J].Neural Networks,2004,17:113～126
22邓小英,李月.Ricker子波核最小二乘支持向量机在地震勘探信号去噪应用中的参数设置研究[J].地球物理学进展,2007,22(3):953～959
23邓小英,李月.基于Ricker子波核的支持向量回归方法及其在地震勘探记录去噪处理中的应用[J].吉林大学学报(地球科学版),2007,37(4):821～827
24王润秋,郑桂娟,付洪洲,等.地震资料处理中的形态滤波去噪方法[J].石油地球物理勘探,2005,40(3):277～282
25李青,王润秋,黄文锋,等.地震资料数据处理中的形态滤波去噪方法[J].PetroleumScience,2005,2(4):20～29
26王润秋,李青,张明.多尺度形态学在地震去噪中的应[J].Applied Geophysics,2008,5(3):197～203
27郑桂娟,王润秋.数学形态学在地震资料处理中的应用探索[J].勘探地球物理进展,2003,26(4):277～281
28王亮.基于独立成分分析的盲信号分离算法研究[M].西安:西北工业大学出版社,2005.20～28
29Lu W K.Adaptive multiple subtraction using inde-pendent component analysis[J].Geophysics,2006,71(5):S179～S184
30彭才,朱仕军,孙建库,等.基于独立成分分析的地震数据去噪[J].勘探地球物理进展,2007,30(1):30～32
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