分频径向道中值滤波在地震资料处理中的应用
|
摘要
在地震资料处理中去噪处理占有非常重要的地位,地震资料的信噪比高低将直接影响到后续处理的效果。针对地震记录的相干干扰特征,利用小波变换的分频技术,在相干干扰与有效信号共存的频带,利用径向道中值滤波方法提取相干干扰波,并由小波反变换重构整个干扰波场,再从原始记录中减去,实现了高保真度去噪处理,对有效波损失降至最小。实际应用效果表明,该方法能有效改善地震记录品质,提高地震剖面的信噪比。
Noise attenuation plays a very important role in seismic data processing,and signal-to-noise ratio of seismic data will directly affect the subsequent data processing result.In the light of the character of the coherence interference in the seismic record and by using the frequency decomposing technology of the wavelet transform,the authors use the radial trace median filtering to separate the coherence interference from the common frequency band of the coherence interferences and signals.The coherence interference is reconstructed by reverse wavelet transform and deducted from original data,and consequently high-fidelity de-noise is achieved.Real data processing demonstrates that this method can effectively improve quality of the seismic record and enhance the signal-to-noise ratio of the seismic data.
Noise attenuation plays a very important role in seismic data processing,and signal-to-noise ratio of seismic data will directly affect the subsequent data processing result.In the light of the character of the coherence interference in the seismic record and by using the frequency decomposing technology of the wavelet transform,the authors use the radial trace median filtering to separate the coherence interference from the common frequency band of the coherence interferences and signals.The coherence interference is reconstructed by reverse wavelet transform and deducted from original data,and consequently high-fidelity de-noise is achieved.Real data processing demonstrates that this method can effectively improve quality of the seismic record and enhance the signal-to-noise ratio of the seismic data.
引文
[1]林盛,吴峰.叠前相干干扰滤波-倾斜滤波法[J].石油地球物理勘探,1998,33(3).
[2]王西文.地震资料处理和解释中的小波分析方法[M].北京:石油工业出版社2004.
[3]曹思远、牟永光.小波变换与信号分解[C]//中国地球物理学会年刊,昆明:云南科技出版社,1992.
[4]Zhu Weihong,Panos G.Linear noise attenuation using local radialtrace median filtering[J].The Leading Edge,2004,23(8):728-730.
[5]李承楚.关于中值滤波的理论基础[J].石油地球物理勘探,1986,21(4).
[6]王卫华.利用中值相关滤波预测相干干扰[J].石油地球物理勘探,2000,35(3).
[2]王西文.地震资料处理和解释中的小波分析方法[M].北京:石油工业出版社2004.
[3]曹思远、牟永光.小波变换与信号分解[C]//中国地球物理学会年刊,昆明:云南科技出版社,1992.
[4]Zhu Weihong,Panos G.Linear noise attenuation using local radialtrace median filtering[J].The Leading Edge,2004,23(8):728-730.
[5]李承楚.关于中值滤波的理论基础[J].石油地球物理勘探,1986,21(4).
[6]王卫华.利用中值相关滤波预测相干干扰[J].石油地球物理勘探,2000,35(3).
版权所有：© 2023 中国地质图书馆 中国地质调查局地学文献中心