3D elastic microseismicdenoising vianoncausalregularizednonstationary filtering

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.

作者: WUShao-Jiang WANG Yi-Bo CHANG Xu

作者单位: Key Laboratory of Engineering Geomechanics,Institute of Geology and Geophysics,Chinese Academy of Sc Key Laboratory of Engineering Geomechanics,Institute of Geology and Geophysics,Chinese Academy of Sc

会议类型: 国内会议

会议名称: 2014年中国地球科学联合学术年会

会议地点: 北京

会议语种:英文

页码: 97-100

在线出版日期: 2014-10-19（万方平台首次上网日期，不代表论文的发表时间）