复数子波匹配追踪算法识别薄层砂体  

Identify bed layer sandbody by complex wavelet matching algorithm

作　　者：宋维琪[1] 朱卫星[1] 孙英杰[1] 

机构地区：[1]中国石油大学(华东)地球资源与信息学院,东营257061

出　　处：《地球物理学进展》2007年第6期1796-1801,共6页Progress in Geophysics

摘　　要：针对东营凹陷滩坝砂岩薄砂体的预测识别问题,研究了复小波匹配追踪方法.从地震信号morlet小波分解及重构分析入手,讨论了重构地震信号时关于频率、振幅、相位及时移参数的选取方法及其具体的选取变量.并就关键的振幅参数,研究了改善的计算方法.常规的匹配追踪算法扫描地震信号的所有时间点和频率.在本文中,为了改善时频分辨率,采用局部扫描主频和子波的时间延迟.在具体实现过程中,采用计算地震信号的平均瞬时频率和地震信号的瞬时包络处的时间,做为采样频率和时间采样点,得到与地震信号最佳相关的子波.对研究的方法从理论模型和实际资料进行了论证分析,证明理论上正确合理,实际应用效果显著.For the problem of prediction and identification bed sandstone in bar and beach sand reservoir, a new method of matching and tracing complex wavelet is studied . We discuss the parameters about frequency ,amplitude ,phase and time-shift with reconstruction the seismic signal ,and extensional various measure selection through analyses Morlet wavelet composition and reconstruction of seismic signal. We research improve algorithm for the key parameters. All time and frequency points are traced by normal marching algorithm. In order to modify time-frequency distinguish ,the part scanning dominant frequency and wavelet time delay are adapt in this paper. In extensional realization , we regard mean instantaneous frequency and time of instantaneous envelop of the seismic signal as sample frequency and time points to obtain the best correlation wavelet. For the studied method ,we conduct to verify and analyze through theory and actual data, and verify it is right and reasonably in theory , application effect is obvious.

关 键 词：复小波分析 最佳子波 信息重建 参数选取 数值计算 

分 类 号：P631[天文地球—地质矿产勘探]