摘要
将小波分析用于高分辨率处理有着广阔的应用前景。本文利用小波分解的特性将地震记录分解成不同的频道成分,然后进行增益控制,使各频道记录的振幅叠加结果逼近一个标准子波的振幅谱,从而实现提高分辨率的目的。此法称为谱子波化方法。
Application of wavelet analysis to high resolution processing has good prospects. Wavelet decomposition characteristic is used to decompose seismic records into different frequency-band components, which then undergo gain control. The gain control makes the stacked amplitude spectrum of all different frequency band components approach to the amplitude spectrum of a standard wavelet,thus improving the seismic data resolution. This method is called spectrum waveleting.
出处
《石油地球物理勘探》
EI
CSCD
北大核心
1995年第2期257-263,共7页
Oil Geophysical Prospecting
关键词
滤波
小波分析
高分辨率
地震数据
地震勘探
data filtering, wavelet analysis, high resolution, spectrum waveleting