摘要
从地震记录的褶积模型出发，讨论了地震记录小波变换的物理意义。经深入分析发现，恰当地选择小波函数及尺度因子ａ，对地震记录作小波变换，相当于对地震记录作谱白化，其特点是运算速度快，参数易于选择，可使不同目的层的信噪比与分辨率达到最佳折衷。模型及实际算例结果，证明了该方法的有效性。
Based on the convolutional model of seismogram,the physical meanings of wavelet transform in seismogram are discussed It is found that selecting suitably the wavelet function and scale factor a,the wavelet transform for seismogram is corresponding to the spectrum whitening of seismogram It is characterized by the higher calculating speed,easy selection of parameters,and the best compromise between S/N and resolution for reflected waves coming from reflectors at different depths the efficiency of the method has been proved by modelling and case calculating result
出处
《煤田地质与勘探》
CAS
CSCD
北大核心
1997年第3期44-49,共6页
Coal Geology & Exploration
基金
国家自然科学基金
关键词
地震勘探
小波变换
小波函数
地震数据处理
seismic exploration
wavelet transform
wavelet function
high resolution
processing
