Crossline-direction reconstruction of multi-component seismic data with shearlet sparsity constraint
作者: Chengming LiuDeli WangJing SunTiexing Wang
作者单位: 1College of Geo Exploration Science and Technology, Jilin University, Changchun, 130026, People’s Republic of China
2Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, People’s Republic of China
刊名: Journal of Geophysics and Engineering, 2018, Vol.15 (5)
来源数据库: Institute of Physics Journal
DOI: 10.1088/1742-2140/aac097
原始语种摘要: In towed-steamer marine seismic acquisition, crossline data are fairly sparse which makes crossline wavefield reconstruction very difficult. Therefore, reconstructing the sparse wavefield becomes a fundamental and crucial step in seismic processing flow. Recently, compressed sensing has provided new insights into the data recovery problem, which combines a sparsifying transform, a sampling strategy, and a sparsity promoting algorithm. Shearlet transform is provided with a fairly good sparse representation of seismic data, and is very robust in the application of seismic wavefield reconstruction. Using multi-component measurement techniques, we propose a multi-component crossline wavefield reconstruction method based on sparse shearlet constraint inversion. By combining the pressure...
全文获取路径: IOP  (合作)

  • reconstruction 复原
  • seismic 地震的
  • component 成分
  • propose 提议
  • aliasing 假信号
  • constraint 约束
  • compressed 侧扁的
  • sparse 稀疏的
  • processing 加工
  • gradient 倾斜度