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题名:
Seismic wavelet estimation using covariation approach
作者: Yue, Bibo1; Peng, Zhenming1; Zhang, Qiheng2
刊名: IEEE Transactions on Geoscience and Remote Sensing
出版日期: 2014
卷号: 52, 期号:12, 页码:7495-7503
学科分类: Acoustic impedance - Computer simulation - Experiments - Gaussian noise (electronic) - Seismology - Well logging
DOI: 10.1109/TGRS.2014.2313116
文章类型: 期刊论文
中文摘要: This paper proposes a novel covariation approach for seismic wavelet estimation under the assumption that a real seismic signal follows non-Gaussian α-stable distributions. Since the non-Gaussian α-stable signals do not have finite second or higher order moments, the traditional methods of Gaussian distribution may not get a suitable solution. Based on the principle of fractional lower order statistics, the covariation approach deconvolution objective function matrix was given, and the details of wavelet estimation with the covariation approach were presented. Furthermore, computer simulation experiments on theoretical synthetic data and real seismic data were conducted. In the experiments, the effect of moments was considered. Among the estimated wavelets with different moments, the best wavelet should be the one with moment less than characteristic but close to characteristic. To verify the correctness and effectiveness of the proposed method, the extracted real wavelet was applied in real seismic acoustic impedance inversion. The result from the inversion of the 2-D real data set is consistent with the well log interpretation very well. © 2014 IEEE.
英文摘要: This paper proposes a novel covariation approach for seismic wavelet estimation under the assumption that a real seismic signal follows non-Gaussian α-stable distributions. Since the non-Gaussian α-stable signals do not have finite second or higher order moments, the traditional methods of Gaussian distribution may not get a suitable solution. Based on the principle of fractional lower order statistics, the covariation approach deconvolution objective function matrix was given, and the details of wavelet estimation with the covariation approach were presented. Furthermore, computer simulation experiments on theoretical synthetic data and real seismic data were conducted. In the experiments, the effect of moments was considered. Among the estimated wavelets with different moments, the best wavelet should be the one with moment less than characteristic but close to characteristic. To verify the correctness and effectiveness of the proposed method, the extracted real wavelet was applied in real seismic acoustic impedance inversion. The result from the inversion of the 2-D real data set is consistent with the well log interpretation very well. © 2014 IEEE.
收录类别: SCI ; Ei
项目资助者: National Natural Science Foundation of China [41274127, 40874066, 40839905] ; Fundamental Research Funds for the Central Universities [ZYGX2011YB021]
语种: 英语
WOS记录号: WOS:000341532100002
ISSN号: 01962892
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.ioe.ac.cn/handle/181551/5078
Appears in Collections:光电探测与信号处理研究室(五室)_期刊论文

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作者单位: 1. School of Opto-Electronic Information, University of Electronic Science and Technology of China, Chengdu 610054, China
2. Institute of Optics and Electronics, China Academy of Sciences, Chengdu 610209, China

Recommended Citation:
Yue, Bibo,Peng, Zhenming,Zhang, Qiheng. Seismic wavelet estimation using covariation approach[J]. IEEE Transactions on Geoscience and Remote Sensing,2014,52(12):7495-7503.
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