矢量分解法压噪

Noise suppression using vector resolution method,

本文从“相邻道信号具有相关性”的基本假设出发,引入了“单位相关矢量”的概念,并利用矢量分解法将多道信号的振幅值分解为“相关分量”和“非相关分量”两部分,通过压缩“非相关分量”,即可达到提高信噪比的目的。矢量分解法就其实质来说,它是利用噪音偏离信号的夹角来压制噪音的,因此,此法是一种角度滤波。矢量分解法用于地面地震资料的叠前和叠后处理,以及VSP三分量记录的处理,都收到了良好的效果。

The concept of unit correlation vector is introduced on the assumption that there is correlation among the signals of adjacent seismic traces.The signal amplitudes of the seismic traces can be decomposed into 'correlated component' part and 'uncorrelated component' part by using vector resolution method; then, the improvement of signal to noise ratio can be achieved by compressing the 'uncorrelated component' part.Essentially, vector resolution method uses deviation angle between noises and signals to suppress noises; therefore, it is an angle filtering method.Applied to the processing of surface seismic data before or after stack and 3—component VSP data, the vector resolution method brings good result.