极化滤波在三分量噪声衰减中的应用研究

Research on the three-component noise attenuation through polarization filtering

极化滤波是根据各种地震波在三分量地震记录上偏振方向、程度的不同,将待处理的地震数据分解到该数据协方差矩阵的特征向量方向上来压制干扰,从而达到提高信噪比的目的.理论合成数据试算结果表明用该方法去除噪声方法灵活、保真性好、分辨率高.但是在实际资料的处理中,由于地层结构复杂多样,各种类型的波相互干扰,噪声衰减的效果受到一定影响.

Polarization filtering decomposes the seismic data to the eigenvector way of the covariance matrix for suppress interference, on the base of the various polarization direction and degree in the three component seismic data. Then ratio of the signal to noise will be increased. The result of theoretical synthetic data shows that this method is flex ible, good fidelity and high resolution in noise removal. But in actual work, the stratigraphic form is complex and multiple, various waves interference each other, so the effect of noise attenuation is impacted.