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3D Steerable Pyramid分解域地震资料随机噪声衰减 被引量:2

Suppression of random noise in seismic data based on 3D Steerable Pyramid decomposition
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摘要 三维地震资料的去噪工作在油气地球物理勘探中处于至关重要的位置.本文分析了3D Steerable Pyramid分解及重构原理,在3D Steerable Pyramid分解域采用硬阈值降阈值+均值滤波的方法对三维地震资料中的随机噪声进行衰减.经过理论模型和实际资料实验,得出无论噪声水平的高低,在3D Steerable Pyramid分解域采用硬阈值降阈值+均值滤波方法均可以从噪声背景中识别出有效信号,并且保证信噪比有足够的提高;在去噪的同时,不但连续性好,反射强的同相轴得到了增强,而且连续性差,反射弱的同相轴也得到了有效的保留.采用本方法去噪伪影较少,数据的保真度较高,去噪结果干净,同相轴连续,波组关系清晰,断块成像清晰、断点干脆. 3D seismic data denoising work is the key problem in geophysical prospecting of oil and gas. The basic principle of decomposition and construction of 3D Steerable Pyramid was introduced,and random noise in 3D seismic data was suppressed based on 3D Steerable Pyramid decomposition using reduced hard threshold + mean filter. The theoretical and real experiment outcome that we can recognize effective signal from noise no matter the level using reduced hard threshold + mean filter, and the SNR is improved enough. In the meantime,not only the phase axis which is well continuity and strong reflection are enhanced,but also the phase axis which is bad continuity and slight reflection are retained effectively. When we adopt reduced hard threshold to suppress random noise,the advantage are those the pseudo-image is less,fidelity of profile is high,the result is clear,the phase axis is well continuity,the relationship of composite wave is distinctive,the imagery of fault is clear and breakpoint is clear-cut.
作者 林春 LIN Chun(Key Laboratory of Earth Exploration and Information Techniques of the Ministry of Education Chengdu University of Technology, Chengdu 610059, China)
出处 《地球物理学进展》 CSCD 北大核心 2018年第3期1081-1087,共7页 Progress in Geophysics
基金 国家自然科学基金(青年科学基金)项目(41404082) 中国石化地球物理重点实验室开放基金项目(33550006-15-FW2099-0030)联合资助
关键词 3D Steerable Pyramid分解 随机噪声 硬阈值降阈值 均值滤波 3D Steerable Pyramid decomposition random noise reduced hard threshold mean filter
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