基于盲源分离的地震资料去噪技术  

Seismic Data Noise - Suppression Technique Based On Blind Source Separation

作　　者：魏巍[1] 

机构地区：[1]胜利油田物探研究院,山东东营257000

出　　处：《计算机仿真》2010年第11期274-277,共4页Computer Simulation

摘　　要：研究地震数据准确采集问题,针对地震噪声淹没在强机器噪声中,对有效地震信号的提取传统方法已经不再适用。在进行地震勘探数据采集时,经常会受到机械设备的强噪声干扰。为有效分离信号找出新技术,提出盲源分离(BSS)技术,可以在统计独立的意义下对混合信号进行分离。用BSS的原理和算法,结合地震数据的信噪模型分析,重点利用BSS来消除机器噪声。仿真结果表明,BSS在消除机器噪声的同时,能够很好的保护有效地震信号,可以大大提高资料的信噪比,为应用提供了参考。In the field of signal processing,it is very important to separate the noise from the available signal.The seismic data for finding oil is usually contaminated by the noise generated by the working machines around the detectors collecting the seismic signal.Conventional seismic data noise attenuation methods are not suitable for separating available signal from the strong machine noise.Whereas Blind Sourse Separation（BSS） which has been applied widely in some fields,as a new technique,can separate each independent component statistically from the mixed signals.This paper studies the fundamentals and conventional algorithm of BSS,tries to remove the machine noise in seismic data on the base of analyzing the features of seismic data and the machine noise.The results of simulation and the seismic data processing show that BSS has good effect on removing the machine noise and can protect the available signals effectively.In short,BSS has better effect on improving the signal to noise ratio and has a good application perspective.

关 键 词：盲源分离 机器噪声 信噪比 仿真 

分 类 号：TE319[石油与天然气工程—油气田开发工程]