小波域能量分类约束极化滤波法及应用

Polarization filtering constrained by classified energy in the wavelet domain

小波域能量分类约束极化滤波法是一种根据面波强能量、椭圆极化率大的特点,在小波域借助瞬时极化分析手段,对多波地震信号进行面波压制的滤波方法。该方法结合了能量、频率、视速度、极化属性四参数联合压制面波,在最大可能压制面波的同时,保留与面波频带混叠的有效波信号,是低信噪比多分量资料处理中压制面波的有效方法。采用该方法对川西拗陷新场地区的多分量地震资料进行了处理和参数分析,结果表明小波域能量分类约束极化滤波法能有效地对低信噪比多波多分量资料进行面波压制,同时能很好地保留有效信号,并且其处理效果受极化率压制阈值影响较大。

Based on the polarization difference,surface disturbance can be attenuated by polarization filtering methods.We propose in this paper an approach of polarization filtering constrained by classified energy in the wavelet domain.This approach combines energy,frequency,apparent velocity with polarization attributes in surface wave attenuation.This is why it can suppress surface waves as much as possible and preserve signals from surface disturbance.This polarization filtering constrained by classified energy in the wavelet domain is applied to multi-component data in Xinchang reservoir in the Sichuan Basin,the southwest of China,and the signal-noise ratio of multi-wave data is greatly improved.