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《Geophysical Prospecting for Petroleum》 2008-05
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Noise elimination method based on curvelet transform

Peng Cai Chang Zhi Zhu Shijun Geophysical Prospecting Company,Sichuan-Changqing United Drilling & Exploration Engineering Company,CNPC,Chengdu 610213,China  
The random noise has a broad band in seismic record,the con- ventional de-noise method can not get ideal result.Wavelet trans- form de-noise method will damage effective signals while pressing random noise and has some limitations in pressing random noise in 2-D signals.Aiming at the limitations,Candèproposed ridge-let transform.But for the whole profile,the ridgelet transform can not obtain ideal result either.Therefore,the curvelet transform is developed,which is a multi-scale geometric analysis method based on wavelet transform and ridgelet transform.The method can dis- play the directional linear singularity edge,and overcome the inher- ence defects of wavelet transform in showing the directional charac- teristics of graph edge.The curvelet transform in combination with anisotropy characteristic of ridgelet transform and multi-scale char- acteristic of wavelet transform can protect effective signals while press random noise and achieve better de-noise result.The de-noise result of simulation data and actual data shows that the curvelet transform is feasible.
【CateGory Index】: TN911.6
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