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作 者:王颖[1] 孙渊[1] 黄建华 WANG Ying;SUN Yuan;HUANG Jianhua(College of Geology Engineering and Geomatics,Chang'an University,Xi'an 710054,China;Oriental Geophysical Exploration Co.,LTD of China Pertroleum Corporation,Zhuozhou 072751,China)
机构地区:[1]长安大学地质工程与测绘学院,西安710054 [2]中国石油集团东方地球物理勘探有限责任公司,涿州072751
出 处:《物探化探计算技术》2018年第5期579-586,共8页Computing Techniques For Geophysical and Geochemical Exploration
基 金:"十二五"国家科技重大专项课题(2011ZX05024-001-03)
摘 要:井中地震资料波场复杂,往往包含一些特有的异常强振幅噪音,使得大部分地面地震资料去噪方法无法直接应用于井中。面对井中地震波场时,时频域去噪方法压制异常强干扰的能力和处理结果的保真性优于常规去噪方法。通过研究基于小波变换的时频域去噪方法,根据各道记录在每个频段上的能量积累大小识别周期性强噪声,或根据每个频段不同样点处小波系数与其所在时窗内的平均水平进行比较,识别无规则异常强噪声点,实现井中地震波场时频域自适应异常强振幅衰减方法。经过理论与实际资料测试,验证了该方法的正确性与实用性,去噪后记录连续性完整、时频谱形态自然,对于井中地震实际资料,其去噪效果在某些方面优于现有商业软件,应用前景较好。Borehole seismic wave field is complex and contains some peculiar noise,which makes most of surface seismic denoising methods can not be directly transplanted into borehole seismic data.For borehole seismic wave field,time-frequency domain denoising method is superior to common denoising method due to its fidelity and ability of inhibiting abnormal strong interfering noise.Therefore,we study the time-frequency domain denoising method based on wavelet transform,recognize periodic strong noise according to the record of each trace accumulation of energy in each frequence range,or recognize irregular abnormal strong noise points on the basis of comparing different point wavelet coefficient in each frequency band with its average level of the time window.Achieving the time-frequency domain adaptively suppressing abnormal strong amplitude method.Test results in theoretical data and actual data confirmed its validity and practicability.The continuity of seismic records is integrated and the form of time-frequency is natural after denoising.For borehole seismic actual data,denoisng effect is superior to commercial software in some way.This method has a better prospect for application.
关 键 词:井中地震 异常振幅 小波变换 自适应 时频域去噪
分 类 号:P631.4[天文地球—地质矿产勘探]
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