压制与自由表面相关多次波的独立分量分析方法

将独立分量分析(ICA)法与逆散射级数多次波预测法结合起来压制多次波.用逆散射级数法预测与自由表面相关的各阶多次波,并与原始地震记录组成多个观测量,通过独立分量分析方法,将与自由表面相关的多次波从原始地震记录中分离出来.理论合成数据试验表明,即使预测多次波与原始记录中的多次波能量不能很好匹配,ICA法分离多次波也能取得较好的效果,但是,原始资料的低信噪比使得ICA法分离多次波具有不确定性.

Surface-related multiple suppression by independent component analysis

Multiples suppression by adaptive subtraction methods based on second order statistic can obtain a perfect result in case the primaries and multiples are orthogonal, but the assumption is always not valid. In this paper, we combine independent component analysis (ICA) with inverse scattering series (ISS) method to suppress surface-related multiples. Multiples predicted by ISS and raw seismic records make up several observation components, then multiples are separated from the seismic records by ICA. Tests on synthetic data generated by convolution and finite-difference modeling show the advantages of ICA in multiples suppression even mismatching in amplitude between the predicted multiples and raw seismic data. But there is uncertain in multiples separation by ICA in case of low signal-to-noise ratio.