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《复杂油气藏》[ISSN:1674-4667/CN:31-2019/TQ]

卷:

期数:

2013年03期

页码:

33-35

栏目:

油气勘探

出版日期:

2013-09-25

文章信息/Info

Title:

A denoising method based on K-L transform for microseismic data

作者:

吴红梅¹; 樊 骥²

1.西南石油大学研究生院,四川 成都 610500; 2.北京中油瑞飞信息技术有限责任公司,北京 100007

Author(s):

Wu Hongmei¹; Fan Ji²

1.Southwest Petroleum University,Chengdu,Sichuan 610500; 2.Richfit Information Technology Co.Ltd.Beijing 100007

关键词:

微地震 地震数据处理 K-L变换 去噪

Keywords:

microseism;  seismic data processing;  K-L transform;  denoising

分类号:

P631.4

文献标志码:

A

摘要:

K-L变换是一种有效的地震去噪方法,但对于信号弱、信噪比较低的微地震资料,传统K-L变换方法去噪效果较差。为此,提出基于K-L变换的微地震资料去噪方法。首先利用单道微地震记录求取协方差矩阵,然后对协方差矩阵进行求解特征值和特征向量,通过分析,选取适当的特征值所对应的新分量进行矩阵的重构,最后通过K-L反变换得到去除噪声、有效信号突出的重构信号。该方法应用于四川某地区微地震资料的去噪处理,效果良好。

Abstract:

The Karhunen-Loeve(K-L)transform is an effective denoising method for seismic data.For microseismic data with weak signal and low signal/noise ratio,however,it is difficult to obtain a satisfactory processing result by using the conventional K-L transform method.Therefore,a microseismic denoising method based on K-L transform was put forward.Firstly,a covariance matrix was built up by using single-channel seismic records.And then eigenvalues and eigenvectors were obtained by solving the covariance matrix.Secondly,new components corresponding to appropriate eigenvalues were selected in order to reconstructing a new matrix.Finally,signals with removing noise and highlighting effective signals were reconstructed by using K-L inverse transform.The method has been successfully applied in the denoising process for the microseismic data from a block in Sichuan province.