摘要
浅层地震资料信噪比较低,面波能量非常强,对有效成分造成掩盖。常规的面波压制方法无法有效消除叠前地震记录中的面波成分,残余面波能量及其干扰会对后续速度拾取等处理造成影响,降低叠后成像质量。笔者采用小波域内的主成分分析对叠前资料进行特征提取,再对有效特征进行加权重构,对面波成分进行有效的压制。基于本文设计的自适应Morlet小波基,可提高特征拾取时对有效成分的敏感性,实际数据的应用效果分析验证了该方法在浅层地震资料处理中的可行性与有效性。本方法在极低信噪比条件下的浅层资料面波压制中具有较高的理论与应用价值。
Most of shallow seismic signals have low Signal-to-Noise Ratio(SNR)due to the strong surface wave component,which makes is difficult to establish the velocity field.Conventional methods performed poorly in this situation.To overcome this problem,the authors propose a new method based on the adaptive Morlet wavelet and principal component analysis(PCA)process in wavelet coefficients matrix.The difference of horizontal continuity between effective wave and surface wave makes it possible to extract the features in wavelet coefficients domain.Then the reconstructed signal from weighted features presents a high-quality surface wave suppression.Tests on two sets of real data provide a solid evidence for its feasibility in shallow seismic signal.
作者
胡瑞卿
王彦春
岳占伟
王奇
HU Rui-Qing;WANG Yan-Chun;YUE Zhan-Wei;WANG Qi(Key Laboratory of Geo-detection(China University of Geosciences),Ministry of Education,Beijing 100083,China;School of Geophysics and Information Technology,China University of Geosciences,Beijing 100083,China)
出处
《物探与化探》
CAS
CSCD
北大核心
2018年第6期1228-1236,共9页
Geophysical and Geochemical Exploration
基金
国家科技重大专项"前陆冲断带及复杂构造区地震成像关键技术与构造圈闭刻画"(2016ZX05003-003)
