A robust source-independent misfit function for time domain waveform inversion based on normalized convolved wavefield
文献类型：期刊论文
| 作者 | Guo, Xuebao1; Shi, Ying1; Wang, Weihong1; Liu, Hong2,3,4 |
| 刊名 | JOURNAL OF APPLIED GEOPHYSICS
 |
| 出版日期 | 2019-07-01 |
| 卷号 | 166页码:129-146 |
| 关键词 | Amplitude loss Convolved wavefield Multi-scale inversion Normalized wavefield Source wavelet |
| ISSN号 | 0926-9851 |
| DOI | 10.1016/j.jappgeo.2019.05.001 |
| 英文摘要 | It is usually necessary to provide a source wavelet before the waveform inversion, and accuracy of the wavelet determines whether the synthetic data matches the observed record. In addition to directly estimating a wavelet, another method is to construct a source-independent objective function. The source difference disappears in the convolved wavefield waveform inversion through the convolution of one data set and the reference trace selected from the other data set, because two different wavelets are already present in the two convolution terms. However, the convolution wavefield inversion is also seriously affected by the incorrect amplitude information of the seismic waves. The attenuation of seismic waves in underground media is quite common in practice. In contrast, the method based on the global normalized wavefield is less sensitive to the amplitude loss because it compares the phase information of the two data sets. The approach we present in this paper is a combination of two methods, that is to construct the normalized wavefield on the basis of the convolution wavefield. In this way, we alleviate the problem of the traditional convolution wavefield inversion caused by amplitude mismatch, and further extend the applicability of this method. The new normalized convolution wavefield inversion combines the advantages of the two methods, which are independence on the source wavelet and being insensitive to amplitude loss, we give a multi-scale and multi-stage inversion strategy for the new objective function, which can improve the implementation of the multi-scale strategy and effectively deal with missing low frequencies. (C) 2019 Elsevier B.V. All rights reserved. |
| WOS关键词 | MIGRATION VELOCITY ANALYSIS ; TRAVEL-TIME |
| 资助项目 | Major State Research Development Program of China[2016YFC0601101] ; Project of National Natural Science Foundation of China[41574117] ; Project of National Natural Science Foundation of China[41474118] ; Heilongjiang Province Natural Science Fund for Distinguished Young Scholar[JC2016006] ; Northeast Petroleum University Excellent Scientific Talent Fund[GLJHB201601] |
| WOS研究方向 | Geology ; Mining & Mineral Processing |
| 语种 | 英语 |
| WOS记录号 | WOS:000472704300013 |
| 出版者 | ELSEVIER SCIENCE BV |
| 资助机构 | Major State Research Development Program of China ; Major State Research Development Program of China ; Project of National Natural Science Foundation of China ; Project of National Natural Science Foundation of China ; Heilongjiang Province Natural Science Fund for Distinguished Young Scholar ; Heilongjiang Province Natural Science Fund for Distinguished Young Scholar ; Northeast Petroleum University Excellent Scientific Talent Fund ; Northeast Petroleum University Excellent Scientific Talent Fund ; Major State Research Development Program of China ; Major State Research Development Program of China ; Project of National Natural Science Foundation of China ; Project of National Natural Science Foundation of China ; Heilongjiang Province Natural Science Fund for Distinguished Young Scholar ; Heilongjiang Province Natural Science Fund for Distinguished Young Scholar ; Northeast Petroleum University Excellent Scientific Talent Fund ; Northeast Petroleum University Excellent Scientific Talent Fund ; Major State Research Development Program of China ; Major State Research Development Program of China ; Project of National Natural Science Foundation of China ; Project of National Natural Science Foundation of China ; Heilongjiang Province Natural Science Fund for Distinguished Young Scholar ; Heilongjiang Province Natural Science Fund for Distinguished Young Scholar ; Northeast Petroleum University Excellent Scientific Talent Fund ; Northeast Petroleum University Excellent Scientific Talent Fund ; Major State Research Development Program of China ; Major State Research Development Program of China ; Project of National Natural Science Foundation of China ; Project of National Natural Science Foundation of China ; Heilongjiang Province Natural Science Fund for Distinguished Young Scholar ; Heilongjiang Province Natural Science Fund for Distinguished Young Scholar ; Northeast Petroleum University Excellent Scientific Talent Fund ; Northeast Petroleum University Excellent Scientific Talent Fund |
| 源URL | [http://ir.iggcas.ac.cn/handle/132A11/92533]  |
| 专题 | 地质与地球物理研究所_中国科学院油气资源研究重点实验室 |
| 通讯作者 | Guo, Xuebao |
| 作者单位 | 1.Northeast Petr Univ, Sch Earth Sci, Daqing 163318, Peoples R China 2.Chinese Acad Sci, Key Lab Petr Resources Res, Inst Geol & Geophys, Beijing 100029, Peoples R China 3.Chinese Acad Sci, Inst Earth Sci, Beijing 100029, Peoples R China 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Guo, Xuebao,Shi, Ying,Wang, Weihong,et al. A robust source-independent misfit function for time domain waveform inversion based on normalized convolved wavefield[J]. JOURNAL OF APPLIED GEOPHYSICS,2019,166:129-146. |
| APA | Guo, Xuebao,Shi, Ying,Wang, Weihong,&Liu, Hong.(2019).A robust source-independent misfit function for time domain waveform inversion based on normalized convolved wavefield.JOURNAL OF APPLIED GEOPHYSICS,166,129-146. |
| MLA | Guo, Xuebao,et al."A robust source-independent misfit function for time domain waveform inversion based on normalized convolved wavefield".JOURNAL OF APPLIED GEOPHYSICS 166(2019):129-146. |
入库方式： OAI收割
来源：地质与地球物理研究所
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