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小波分频法叠前线性去噪技术应用研究 被引量:3

Research on Application of Prestack Linear Denoising Technology by Using the Wavelet Frequency Division Method
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摘要 随着地震资料处理方法多元化的发展,小波分频的去噪方法在地震资料叠前处理中得到了越来越广泛的应用.结合实际应用介绍利用小波变换的分频特性来压制线性噪声的原理和方法.通过Geoeast软件中的LinNoiRemv模块进行小波分频叠前线性干扰压制.根据线性干扰波和有效波之间的视速度、位置和能量上的差异,在t-x域采用倾斜叠和向前、向后线性预测的方法确定线性干扰的视速度、分布范围及规律,由计算机自动识别和去除线性干扰波.将识别出来的线性干扰从原始数据中虑除,实现线性干扰波的去除处理.该方法去噪效果非常明显,并在实际生产中得到了广泛的应用. With the development of multiple seismic data processing methods,wavelet denoising method has been widely used in seismic data pre stack processing.In this paper,combining with practical application,the principle and method of suppressing linear noise by using the frequency division characteristic of wavelet transform are introduced.In GeoEast software,linnoiremv module is used to suppress the linear interference before wavelet frequency division and stack.According to the difference of apparent velocity,position and energy between the linear interference wave and the effective wave,the method of tilt stack and forward and backward linear prediction is used to determine the apparent velocity,distribution range and law of linear interference in t-x domain,and the linear interference wave is automatically identified and removed by computer.The identified linear interference is removed from the original data to achieve the removal of linear interference.The denoising effect of this method is very obvious,and it has been widely used in practical production.
作者 段淑远 赵发通 曹跃辉 田鹏飞 杨江涛 DUAN Shu-yuan;ZHAO Fa-tong;CAO Yue-hui;TIAN Peng-fei;YANG Jiang-tao(School of Earth Sciences and Engineering,Xi’an Shiyou University,Xi’an 710065,China;Changqing Geophysical Exploration Office,East Geophysical Company of CNPC,Xi’an 710021,China;Henan Wanli Tnansportation Technology Group Co.,Xuchang 461000,China;Yanchang and gas exploration Company,Yan’an,718500,China)
出处 《西安文理学院学报(自然科学版)》 2020年第1期90-94,共5页 Journal of Xi’an University(Natural Science Edition)
关键词 小波变换 分频处理 线性干扰 地震资料处理 wavelet transform frequency division processing linear interference seismic data processing
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