摘要
利用小波网络,对地震资料和小波多尺度分解属性资料,进行了虚井声波时差反演.讨论了利用地震信号的小波分解和网络学习、训练的理论方法.为了提高反演分辨率和精度,研究了信号分段相似小波时—频分析技术方法.在对对这些技术方法综合研究和算法的实现设计以后,对实际资料进行了反演计算,并对反演结果进行验证.取得了很好的效果.
The technology and method is researched in this paper, by using wavelet networks for seismic data reversing , at the same time, wavelet decompose learning training with networks for seismic data is studied to its SNR and distinguish ratio. we have discussed some important problems for the arithmetic, and obtained some value results. Final, we reversed the field seismic data, and get better results from distinguish ratio and credibility of the data.
出处
《地球物理学进展》
CSCD
北大核心
2005年第1期38-41,共4页
Progress in Geophysics
关键词
小波网络
小波变换
方法研究
伪井反演
wavelet networks, wavelet transfer, a new studied method ,bogus log data inversion
