基于矢量中值滤波的ISS高密度地震数据去噪方法
摘要
ISS高密度地震采集是以干扰炮相对有效炮为随机信号的基本理念对地震数据进行采集的方法,其大部分有效信号会淹没于噪声之中。基于此,本文提出一种在十字排列域或检波点域进行矢量中值滤波方法,并针对理论模型简要分析了不同空间滤波参数对保持有效信号和压制干扰信号的影响及处理中应注意的问题;实际单炮地震数据的处理和叠加成像结果表明,该方法在有效压制相干炮噪声的同时,能够较好地保持有效信号,提高资料信噪比,显著优于常规去噪方法的处理效果。
As a high efficiency and high density acquisition method,the vibroseis independent simultaneous sweeping(ISS) is different from the other conventional acquisitions.The signals are almost completely covered by multi-coherent shots,which are considered as the random noise in the normal shots.In this paper,we propose a new vector median filter method for deblending the noise in the cross-spread or receiver domains for ISS data.Based on a theory model,we briefly analyze the affections on signal and noise by the different spatial filter parameters,and point out what should be paid attention to during processing.The model and real data results demonstrate that the new method can improve the signal to noise ratio and preserve signals.
As a high efficiency and high density acquisition method,the vibroseis independent simultaneous sweeping(ISS) is different from the other conventional acquisitions.The signals are almost completely covered by multi-coherent shots,which are considered as the random noise in the normal shots.In this paper,we propose a new vector median filter method for deblending the noise in the cross-spread or receiver domains for ISS data.Based on a theory model,we briefly analyze the affections on signal and noise by the different spatial filter parameters,and point out what should be paid attention to during processing.The model and real data results demonstrate that the new method can improve the signal to noise ratio and preserve signals.
引文
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[10]Dave Howe,Mark Foster,Tony Allen.Independentsimultaneous sweeping in Libya-full scale implemen-tation and new developments.SEG Technical Pro-gram Expanded Abstracts,2009,28:109～111
[11]Tsingas C,Huo S,Kelamis P et al.Deblending thesimultaneous source data—Is it necessary?Geophysi-cal Prespecting,2012,60:608～617
[12]Huo Shoudong,Tsingas C,Kelamis P et al.Deblend-ing the Simultaneous Source Blended Data.SPE,10.2118/149098-MS
[13]Lin H M,Willson A N.Medial filter with adaptivelength.IEEE on Circuits and System,1988,35(6):675～690
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[15]Sun T,Neuvo Y.Detail-preserving median based fil-ters in image processing.Pattern Recognition Let-ters,1994,15(4):341～347
[16]王保平,范九伦,谢维信.基于直方图的图像去噪滤波器.中国图像图形学报,2003,8(7):748～752
[17]Astola J,Haavisto P,Neuvo Y.Vector median filter.Processing of the IEEE,1990,78(4):678～689
[18]Trahanias P E,Venetsanopoulos A N.Vector direc-tional filters-a new class of multi-channel image pro-cessing filters.IEEE Trans on Image Processing,1993,2(4):528～534
[2]邓述全,洪月英,周如义等.可控震源高效交替扫描技术的应用效果分析.勘探地球物理进展,29(1):34～37Deng Shuquan,Hong Yueying,Zhou Ruyi et al.A-nalysis of vibroseis flip-flop sweep techniques.Pro-gress in Exploration Geophysics,2006,29(1):34～37
[3]倪宇东,王井富,马涛等.可控震源地震采集技术的进展.石油地球物理勘探,2011,46(3):349～356Ni Yudong,Wang Jingfu,Ma Tao et al.Advances invibroseis acquisition.OGP,2011,46(3):349～356
[4]Rozemond J H.Slip-sweep acquisition.SEG Techni-cal Program Expanded Abstracts,1996,15:64～67
[5]Howe D,Foster M,Allen T et al.Independent simul-taneous sweeping:a method to increase the productiv-ity of land seismic crews.SEG Technical ProgramExpanded Abstracts,2008,27:2826～2830
[6]Bouska J.Distance separated simultaneous sweeping:Efficient 3D Vibroseis acquisition in Oman.SEGTechnical Program Expanded Abstracts,2009,28:1～5
[7]Denis M and Sauzedde P.Dukhan 3D:An ultra highdensity,full wide azimuth seismic survey for the fu-ture.IPTC,Doha,2009
[8]Postel J J,Meunier J,Bianchi T et al.V1:Implemen-tation and application of single-vibrator acquisition.The Leading Edge,2008,27(5):604～608
[9]Sallas J J,Gibson J B,Lin F et al.Broadband,Vibro-seis using simultaneous pseudorandom sweeps.SEGTechnical Program Expanded Abstracts,2008,27:100～104
[10]Dave Howe,Mark Foster,Tony Allen.Independentsimultaneous sweeping in Libya-full scale implemen-tation and new developments.SEG Technical Pro-gram Expanded Abstracts,2009,28:109～111
[11]Tsingas C,Huo S,Kelamis P et al.Deblending thesimultaneous source data—Is it necessary?Geophysi-cal Prespecting,2012,60:608～617
[12]Huo Shoudong,Tsingas C,Kelamis P et al.Deblend-ing the Simultaneous Source Blended Data.SPE,10.2118/149098-MS
[13]Lin H M,Willson A N.Medial filter with adaptivelength.IEEE on Circuits and System,1988,35(6):675～690
[14]Wang J H,Lin L D.An improved median filter usingminmax algorithm for image processing.ElectronicsLetters,1997,33(16):1362～1363
[15]Sun T,Neuvo Y.Detail-preserving median based fil-ters in image processing.Pattern Recognition Let-ters,1994,15(4):341～347
[16]王保平,范九伦,谢维信.基于直方图的图像去噪滤波器.中国图像图形学报,2003,8(7):748～752
[17]Astola J,Haavisto P,Neuvo Y.Vector median filter.Processing of the IEEE,1990,78(4):678～689
[18]Trahanias P E,Venetsanopoulos A N.Vector direc-tional filters-a new class of multi-channel image pro-cessing filters.IEEE Trans on Image Processing,1993,2(4):528～534
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