Seismic wavelet estimation using covariation approach
文献类型：期刊论文
| 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 |
| ISSN号 | 01962892 |
| 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. |
| 学科主题 | Acoustic impedance - Computer simulation - Experiments - Gaussian noise (electronic) - Seismology - Well logging |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000341532100002 |
| 源URL | [http://ir.ioe.ac.cn/handle/181551/5078]  |
| 专题 | 光电技术研究所_光电探测与信号处理研究室（五室） |
| 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 |
| 推荐引用方式 GB/T 7714 | 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. |
| APA | Yue, Bibo,Peng, Zhenming,&Zhang, Qiheng.(2014).Seismic wavelet estimation using covariation approach.IEEE Transactions on Geoscience and Remote Sensing,52(12),7495-7503. |
| MLA | Yue, Bibo,et al."Seismic wavelet estimation using covariation approach".IEEE Transactions on Geoscience and Remote Sensing 52.12(2014):7495-7503. |
入库方式： OAI收割
来源：光电技术研究所
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