石油物探2017，Vol.56Issue(5)：676-683,8.DOI:10.3969/j.issn.1000-1441.2017.05.008
基于Contourlet变换的K-L变换地震随机噪声自适应衰减方法
Seismic random noise self-adaptive attenuation method based on K-L transform in the Contourlet-domain
刘燕峰 1邹少峰 1居兴国1
作者信息
- 1. 中国石油化工股份有限公司石油物探技术研究院,江苏南京211103
- 折叠
摘要
Abstract
After the Contourlet transform,Contourlet coefficients of reflection are large and correlative due to the rich texture and edge features of effective signals in seismic data,while the Contourlet coefficients of random noise are small and unrelated.Consid ering the advantage of the classification feature extraction for the K-L transform,we apply the K-L transform to Contourlet-domain coefficients.Maximum likelihood estimation and multiscale noise estimation are adopted to estimate the variance of Contourlet coefficients of effective signals and random noise in seismic records.In order to adaptively determine the number of eigenvectors used for the K-L inverse transform,the variance is applied to define the energy percentage threshold function in the K-L domain.Contourlet coefficients transform are modified.And then Contourlet inverse transform is conducted to suppress random noise.However,numerical simulation and field data processing results show that this method can effectively suppress random noise with high fidelity.关键词
Contourlet变换/K-L变换/最大似然估计/多尺度噪声估计/随机噪声衰减/自适应Key words
Contourlet transform/K-L transform/maximum likelihood estimation/multiscale noise estimation/random noise attenuation/self-adaptive分类
天文与地球科学引用本文复制引用
刘燕峰,邹少峰,居兴国..基于Contourlet变换的K-L变换地震随机噪声自适应衰减方法[J].石油物探,2017,56(5):676-683,8.
