| 地震信号去噪的最优小波基选取方法 |
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| 引用本文： | 张华,陈小宏,杨海燕. 地震信号去噪的最优小波基选取方法[J]. 石油地球物理勘探, 2011, 0(1): 70-75,164,170,171 |
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| 作者姓名： | 张华 陈小宏 杨海燕 |
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| 作者单位： | 油气资源与探测国家重点实验室(中国石油大学);核资源与环境教育部重点实验室(东华理工大学); |
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| 基金项目： | 国家高技术研究发展计划(863)项目(2006AA09A102-09); 国家自然基金项目(41004048)资助 |
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| 摘 要： | 利用小波技术进行地震信号去噪处理的效果与最优小波基的选取有关。本文在剖析地震信号特点的基础上,首先从理论上讨论小波基选取准则,再从实验角度进行对比选择,提出在进行小波分解和重构时应分别选择不同的小波基函数,以保证重构信号的精确度,增强对地震信号的处理能力。此方法改变了以往分解与重构处理时均采用同一小波基函数的做法。文中最终选择适合于地震信号去噪处理的bior2.4小波基。对实际资料处理效果的对比分析表明,应用bior2.4小波基处理地震数据,不仅去噪效果好,而且在结果数据中能提取地震信号的有效低频和高频成分,拓宽了地震信号有效频带,并同时提高了地震信号的信噪比和分辨率。
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| 关 键 词： | 地震数据处理 小波分析 小波基函数 去噪 信噪比 分辨率 |
Optimistic wavelet basis selection in seismic signal noise elimination |
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| Zhang Hua,,Chen Xiao-hong , Yang Hai-yan.State Key Lab of Oil , gas Resource,China University of Petroleum,Beijing City,,China.Education Ministry Key Lab of Nuclear Resource , Environment,East China University of Technology,Nanchang City,Jiangxi Province,,China. Optimistic wavelet basis selection in seismic signal noise elimination[J]. Oil Geophysical Prospecting, 2011, 0(1): 70-75,164,170,171 |
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| Authors: | Zhang Hua Chen Xiao-hong Yang Hai-yan.State Key Lab of Oil & gas Resource China University of Petroleum Beijing City China.Education Ministry Key Lab of Nuclear Resource Environment East China University of Technology Nanchang City Jiangxi Province China |
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| Affiliation: | Zhang Hua1,2,Chen Xiao-hong1 and Yang Hai-yan21.State Key Lab of Oil & gas Resource,China University of Petroleum,Beijing City,102249,China2.Education Ministry Key Lab of Nuclear Resource and Environment,East China University of Technology,Nanchang City,Jiangxi Province,330013,China |
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| Abstract: | The effect of utilizing wavelet technology to conduct seismic signal noise elimination is related to selection of optimistic wavelet basis.The effect of using wavelet technology to eliminate the noise in seismic signal is related to the selection of optimal wavelet basis.Based on the analysis of characteristics of seismic signal,the paper discussed the selection criterion of wavelet basis theoretically,conducted the correlation and selection of wavelet basis from the test view and finally presented the sugg... |
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| Keywords: | seismic data processing wavelet analysis wavelet basin function noise elimination Signal to Noise Ratio resolution |
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