地震学报2012，Vol.34Issue(5)：659-666,8.DOI:10.3969/j.issn.0253-3782.2012.05.007
压缩感知技术在地震数据重建中的应用
Application of compressive sensing to seismic data reconstruction
摘要
Abstract
There is a contradiction between seismic data processing and remote transmission of field seismic data, which is their different requirements about the data volume. More precisely, the former requires that the data quantity be as large as possible, while the latter requires the opposite. In order to solve this problem, a new method, compressed sensing (CS) technology, based on curvelet transform, is introduced into seismic data processing to reconstruct the actual incomplete data. The results show the advantage of curvelet transform compared with FFT in CS method. However, when it is used to actual data processing, surface wave must be removed first and the effect of the number of missing traces should be considered simultaneously. Finally, a reasonable reconstructed result is achieved, with clear texture and natural connection, illustrating the applicability and validity of the CS method.关键词
压缩感知/曲波变换/数据重建/缺失道/面波Key words
compressive sensing/ curvelet transform/ data reconstruction/ missing trace/ surface wave分类
天文与地球科学引用本文复制引用
孔丽云,于四伟,程琳,杨慧珠..压缩感知技术在地震数据重建中的应用[J].地震学报,2012,34(5):659-666,8.基金项目
重大专项“大型油气田及煤层气开发”课题“海相碳酸盐岩储层地震描述与油气藏有效预测技术研究(二期)”(2011ZX05004-003)资助. （二期）
