石油物探2018，Vol.57Issue(1)：39-44,6.DOI:10.3969/j.issn.1000-1441.2018.01.005
基于波形特征稀疏化建模的地震信号表示理论与方法
Seismic signal analysis based on waveform diversity enabled sparse representation
摘要
Abstract
Overcomplete dictionaries can be constructed to sparsely represent targeted wave components or coherent interference based on their diverse morphologies for seismic signal analysis.This paper gives two applications of sparse representation based on overcomplete dictionaries,namely,ground-roll attenuation and interference suppression of the reservoir seismic response caused by a strong shield.For ground-roll attenuation,a low Q-factor wavelet function is constructed as the sparse representation dictionary for low-oscillatory body waves,and a high Q-factor wavelet function for high-oscillatory ground-roll.Thus,seismic data including body waves and ground-roll can be nonlinearly decomposed into low-oscillatory and high-oscillatory components.Testing on field data shows that this method can attenuate strong ground-roll noise in seismic records effectively,and preserve the waveform char-acteristics and spectral bandwidth of the effective signal well.For strong shield suppression,curvelet transform atoms are used to sparsely represent a strong shield,and two-dimensional stationary wavelet transform atoms are used to sparsely represent the res-ervoir seismic response.The results show that the method could attenuate the strong shield interference while preserving the effec-tive reservoir seismic response.关键词
可控震源/噪声压制/稀疏表示/面波/强屏蔽层Key words
vibroseis/noise suppression/sparse representation/ground-roll/strong shield分类
天文与地球科学引用本文复制引用
陈文超,陈昕,王伟,王晓凯,陈建友..基于波形特征稀疏化建模的地震信号表示理论与方法[J].石油物探,2018,57(1):39-44,6.基金项目
国家自然科学基金(41774135,41504092,41504093)、中国博士后科学基金(2016T90925,2015M572567)和中央高校基本科研业务费专项资金共同资助. This research is financially supported by the National Natural Science Foundation of China (Grant Nos.41774135,41504092,41504093),the China Postdoctoral Science Foundation (Grant Nos.2016T90925,2015M572567)and the Fundamental Research Funds for the Central Universities. （41774135,41504092,41504093）
