摘要
动校正在传统地震数据处理中是基于移动样点来实现的,这导致隐含于地震道中的子波拉伸畸变现象,降低分辨率。提出多子波动校正方法,可以消除这种拉伸影响。多子波动校正,先利用多子波分解技术把地震数据分解成一系列子波,以子波代替样点为处理单元,再根据动校正理论,校正整个子波。因而,可有效地避免子波拉伸畸变,提高分辨率。通过两个合成地震图的例子和实际数据资料处理,比较传统动校正与多子波动校正的结果,论证多子波动校正的优势。
The conventional normal moveout（ NMO） correction that processes the seismic data sample-by-sample results in the well-known decrease in frequency content and amplitude distortion through stretch, which lowers the seismic resolution. This work proposes multi-wavelet NMO correction to reduce NMO-stretch effects. Multi-wavelet NMO corrects the data wavelet-by-wavelet rather than sample-by-sample. With the multi-wavelet decomposition technique,a seismic trace is decomposed into a series or a set of wavelets. Multi-wavelet NMO correction is implemented on a wavelet-by-wavelet basis. The moveout is applied to these wavelets to avoid stretch and maintain the seismic resolution. We test the algorithm on two synthetic models and a 2 D real seismic section,and compare our results with those obtained using conventional NMO.
作者
林禄春
解孟雨
史保平
安平
LIN Luchun;XIE Mengyu;SHI Baoping;AN Ping(College of Earth Sciences,University of Chinese Academy of Sciences,Beijing 100049,China;GeoCyber Solutions Inc.,Beijing 100102,China)
出处
《中国科学院大学学报（中英文）》
CSCD
北大核心
2018年第5期681-688,共8页
Journal of University of Chinese Academy of Sciences
基金
国家国际科技合作专项(2015DFA21260)
中国科学院创新团队项目(KZZD-EW-TZ-19)资助
关键词
动校正
多子波分解
多子波动校正
NMO correction
muhi-wavelet decomposition
muhi-wavelet NMO correction
