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多尺度形态学在地震去噪中的应用(英文)
Application of multi-scaled morphology in denoising seismic data
【摘要】 本文将多尺度形态学引入我国陆上地震勘探数字处理领域,文章首先介绍多尺度形态图象分解勘探地震波的基本理论,其次分析了在地震资料处理方面具体应用方法。文中用两个具体实例分别说明多尺度形态学如何应用于地震资料处理,第一个实例是用多尺度形态分解与重构压制叠前地震炮集的面波,第二个实例是用多尺度形态分解滤除地震记录上线性噪声、声波、面波、随机噪声等多种类型的干扰波,多尺度形态滤波是根据各类波形的形态的细微差异来分离信号与噪声的,从得到的良好应用效果来看,多尺度形态学在地震资料处理领域有广阔的应用前景。
【Abstract】 In this paper,multi-scaled morphology is introduced into the digital processing domain for land seismic data.First,we describe the basic theory of multi-scaled morphology image decomposition of exploration seismic waves;second,we illustrate how to use multi- scaled morphology for seismic data processing using two real examples.The first example demonstrates suppressing the surface waves in pre-stack seismic records using multi-scaled morphology decomposition and reconstitution and the other example demonstrates filtering different interference waves on the seismic record.Multi-scaled morphology filtering separates signal from noise by the detailed differences of the wave shapes.The successful applications suggest that multi-scaled morphology has a promising application in seismic data processing.
【Key words】 Multi-scaled morphology; structure element; seismic data processing; seismic data denoising;
- 【文献出处】 Applied Geophysics ,应用地球物理(英文版) , 编辑部邮箱 ,2008年03期
- 【分类号】P631.4
- 【被引频次】15
- 【下载频次】264