摘要
由于地震信号不可避免地含有各种噪声,而瞬时频率对噪声敏感,容易造成假象。本文讨论基于Morlet小波匹配追踪算法的时频分布,在此基础上提取的瞬时频率等时频属性具有良好的抗噪能力。文中给出具体算法流程,合成数据试算和实际资料应用结果均表明,利用本文方法提取的时频属性在识别海底浅层气等方面具有较好的效果。
Since the seismic signal unavoidably contains various noises,and instantaneous frequency is sensible to noise and easily causes the false phenomenon.The paper discussed the time-frequency distribution based on Morlet wavelet match tracing algorithm.Isochronic-frequncy attribute of instantaneous frequency extracted on that basis has good anti-noise capacity.The paper gave the concrete algorithm flow,and synthetic data test and results of practical data application showed that using the time-frequency attribu...
出处
《石油地球物理勘探》
EI
CSCD
北大核心
2008年第6期673-679,608-609+742,共10页
Oil Geophysical Prospecting
基金
中国科学院知识创新工程项目重要方向项目(KZCX3-SW-224
KZCX32SW2219)
国家重点基础研究发展规划项目(2007CB411704)资助
