摘要
针对地震数据中出现的声波、摔发脉冲、野值等强能量干扰，本文提出一种非线性分频自适应噪声检测及压制方法，即在不同的频段内，以加权中值为参量，自动识别出噪声，并根据噪声与信号的数值关系，计算出加权曲线，对噪声进行衰减，然后重构地震记录。这种处理能有效地减小信号的畸变，使各种强能量干扰得到较好的压制。应用结果裹明，该方法具有良好的适应性。
A new method for nonlinear frequency-divisional adaptive detection and suppression of noises has been developed to cope with high energy noises such as acoustic wave, burst pulse and so on in seismic data. The new method includes some steps: 1) taking the weighted mid value as parameter in each frequency band to automatically locate noise, 2) deriving a weighting curve from numerical relation between noise and signal, 3) attenuating noises, and 4 ) reconstructing seismic record. It effectively reduces distortion of signals to suppress various high energy noises. Application examples prove it adaptable.
出处
《石油地球物理勘探》
EI
CSCD
北大核心
1999年第4期373-380,共8页
Oil Geophysical Prospecting
关键词
声波
强能量干扰
分频处理
地震勘探
数据采集
acoustic wave, high energy noise, frequency-divisional processing, weighted mid value, detection
