物探与化探2025，Vol.49Issue(2)：394-403,10.DOI:10.11720/wtyht.2025.1271
基于Shearlet变换的三维地震数据重建
3D seismic data reconstruction based on Shearlet transform
摘要
Abstract
Seismic data collected in the field frequently suffer from missing values due to constraints of acquisition cost or terrain.Data reconstruction is a critical step in seismic data preprocessing.Based on the compressed sensing theoretical framework,this study sub-sampled synthesized data using the 2D random undersampling technique.Then,the 3D seismic data were divided into a series of time slices.By introducing the sparse Shearlet transform and using the convex set projection(POCS)algorithm,this study conducted se-quential data reconstruction for various time slices.As a result,a Shearlet transform-based time-domain 3D seismic data reconstruction method was developed.Numerical experiments and measured results demonstrate that the proposed reconstruction method exhibits a higher signal-to-noise ratio,a higher computational speed,and better effects than a Curvelet transform-based approach.关键词
Shearlet变换/地震数据重建/压缩感知/凸集投影算法Key words
Shearlet transform/seismic data reconstruction/compression sensing/convex set projection algorithm分类
地质学引用本文复制引用
黄伟鸿,张华,武召祺,戴梦雪,鲍兴悦,蒋伟龙,邱修权..基于Shearlet变换的三维地震数据重建[J].物探与化探,2025,49(2):394-403,10.基金项目
国家自然科学基金项目(42304145,41874126) （42304145,41874126）
江西省自然科学基金项目(20232BAB213077,20242BAB26051) （20232BAB213077,20242BAB26051）
