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3D seismic denoising based on a low-redundancy curvelet transform 원문보기

Journal of Geophysics and Engineering, v.12 no.4, 2015년, pp.566 - 576  

Cao, Jingjie (Shijiazhuang University of Economics, Shijiazhuang, Hebei 050031, People’s Republic of China) ,  Zhao, Jingtao (Research Institute of Petroleum Exploration & Development, PetroChina, Beijing 100083, People’s Republic of China) ,  Hu, Zhiying (Xi’an Fanyi University, Xi’an 710105, People’s Republic of China)

Abstract AI-Helper 아이콘AI-Helper

Contamination of seismic signal with noise is one of the main challenges during seismic data processing. Several methods exist for eliminating different types of noises, but optimal random noise attenuation remains difficult. Based on multi-scale, multi-directional locality of curvelet transform, th...

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