3D elastic microseismicdenoising vianoncausalregularizednonstationary filtering

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• 作者：WUShao-JiangWANG Yi-BoCHANG Xu
• 会议时间：2014-10-19
• 作者单位：WUShao-Jiang(Key Laboratory of Engineering Geomechanics,Institute of Geology and Geophysics,Chinese Academy of Sciences,Beijing 100029,China;University of Chinese Academy of Sciences,Beijing 100049,China)WANG Yi-Bo,CHANG Xu(Key Laboratory of Engineering Geomechanics,Institute of Geology and Geophysics,Chinese Academy of Sciences,Beijing 100029,China)
• 母体文献：2014年中国地球科学联合学术年会论文集
• 会议名称：2014年中国地球科学联合学术年会
• 会议地点：北京
• 主办单位：中国地球物理学会
• 语种：chi

摘要

Microseismicnoise attenuation is very important for seismic data analysis and interpretation,especiallyin the complex 3D anisotropic media.We solve 3D elastic wave equation with VTI media and applynoncausal regularized nonstationaryautoregression (NRNA) in f-x-y domain for noise attenuation.NRNA consider that the central trace can be predicted by all around this trace which can adaptively estimate seismic events of which slopes vary in 3D space from all directions in 3D seismic cube.A shaping regularization technology is added to make the nonstationaryautoregression problem realizable in mathematics with high computational efficiency.A synthetic data example demonstrates that f-x-y NRNA can be effective in suppressing random noise and improve trace-by-trace consistency.