摘要
在时空域用反演法衰减地震噪声，虽能避免预测滤波的缺陷和保持信号振幅，但在处理剖面中噪声仍然存在，而且一些有用信息丢失了。本文通过分析信号与随机噪声的频率犄性及在不同信噪比情况下噪声对滤波器的影响，研究了小波变换域中的庆演去噪情况，提出分频反演去噪方法。在处理参数相同的情况下，该方法的去噪效果比一般反演法要好，地震剖面中有更多的信息被很好地保存下来，这为解释工作提供了更可靠的资料。模型数据与实际数据的应用效果证明，该方法是实用的。
Seismic noise suppression using inversion in time-space domain avoids the de-fect of predictive filtering and preserves the amplitudes of signals; however, itcauses residual noises and some signal loss in seismic section. Having analysed notonly the frequency characteristics of signal and random noise but also influence ofnoise upon filter under different signal/noise ratios, authors studied noise elimina-tion using inversion in wavelet trans form domain and then advance frequency- divi-sional inversive noise elimination method. With identical processing parameters,this method brings better noise elimination than others do, so that the seismic sec-tion contains more useful informations, thus offering reliable seismic data for inter-preters. Theoretical and real application effects prove this method practical.
出处
《石油地球物理勘探》
EI
CSCD
北大核心
1999年第6期635-641,共7页
Oil Geophysical Prospecting
关键词
反演
小波变换
随机噪声
信噪比
地震勘探
inversion,wavelet transform,random noise,signal/noise ratio
