桂林理工大学学报2017，Vol.37Issue(4)：602-607,6.DOI:10.3969/j.issn.1674-9057.2017.04.007
改进的Mallat算法在金属地震数据降噪处理中的应用
Application of improved Mallat algorithm in noise reduction processing of metal seismic data
摘要
Abstract
With the field seismic data from complex geological environment disturbed by the influence of interferential information severely,and with low signal to noise ratio and low resolution,there are many disadvantages of geological data interpretation.A single algorithm of noise reduction is difficult to remove a great variety of noise effectively.So this paper proposes a new noise reduction named improved Mallat algorithm,an effective combination of Mallat and ICA.In this method,the seismic signals are decomposed into different scales on the frequency bands by Mallat.Seismic data on different frequency bands will process noise reduction through threshold method.Then we can regain the effective data on different frequency bands through ICA.Eventually the effective original geological data can be restructured by Mallat.The proposed improved Mallat algorithm can deal with the actual seismic data.The results show that improved Mallat algorithm can effectively eliminate most of noise.The texture of the seismic profile and the hyperbolic of the seismic profile morphology is clear by the noise reduction of the improved Mallat.关键词
地震数据/降噪/改进的Mallat算法/ICA算法Key words
seismic data/noise reduction/improved Mallat/independect component analysis (ICA)分类
天文与地球科学引用本文复制引用
程鲁,秦飞龙,张津,王茜,周详全,柳炳利,郭科..改进的Mallat算法在金属地震数据降噪处理中的应用[J].桂林理工大学学报,2017,37(4):602-607,6.基金项目
中国地质调查局项目(1212010916040) （1212010916040）
四川省科技厅项目(18ZDYF) （18ZDYF）
