Multi-component elastic reverse time migration based on the P- and S-wave separated velocity-stress equations
文献类型：期刊论文
| 作者 | Gu, Bingluo1,2,3; Li, Zhiyuan1,3; Ma, Xiaona1,2,3; Liang, Guanghe1,3 |
| 刊名 | JOURNAL OF APPLIED GEOPHYSICS
 |
| 出版日期 | 2015 |
| 卷号 | 112页码:62-78 |
| 关键词 | Elastic reverse time migration The P- and S-separated elastic equations Crosstalk Polarity-reversal Phase and amplitude attributes |
| ISSN号 | 0926-9851 |
| DOI | 10.1016/j.jappgeo.2014.11.008 |
| 文献子类 | Article |
| 英文摘要 | The vector P- and S-seismograms in an elastic common-shot gather generated with a P-wave source in a two-dimensional model using a finite difference solution of the P- and S-wave separated velocity-stress equations can be imaged by two independent ERTMs based on the same equations. The inputs as boundary conditions for reverse-time extrapolation are the pure vector P- and S-waves, respectively. The vector P-wave image components can be obtained by the normalized correlation operation between the vector P-source wavefields and receiver wavefields, which are obtained by extrapolating the vector P-seismograms in reverse-time using the same equations as the forward modeling. The vector S-wave image components can be obtained by a similar method. Compared with the conventional ERTM, this method can minimize the artifacts caused by the crosstalk between different wave modes and can preserve the phase and amplitude attributes of migration images very well. Furthermore, the polarity-reversal of the vector S-wave data can be corrected automatically during the imaging process, so destructive interferences between data from adjacent sources do not exist. Numerical examples with synthetic data have demonstrated the feasibility and effectiveness of this method for complex structures. (C) 2014 Elsevier B.V. All rights reserved. |
| WOS关键词 | GAUSSIAN-BEAM MIGRATION ; DEPTH MIGRATION ; SEISMIC DATA ; ONE-WAY ; HETEROGENEOUS MEDIA ; KIRCHHOFF MIGRATION ; ANISOTROPIC MEDIA ; IMAGING CONDITION ; SCREEN METHOD ; PRESTACK |
| WOS研究方向 | Geology ; Mining & Mineral Processing |
| 语种 | 英语 |
| WOS记录号 | WOS:000348892200008 |
| 出版者 | ELSEVIER SCIENCE BV |
| 资助机构 | R&D of Key Instruments and Technologies for Deep Resources Prospecting (the National R&D Projects for Key Scientific Instruments)(ZDYZ2012-1-06) ; R&D of Key Instruments and Technologies for Deep Resources Prospecting (the National R&D Projects for Key Scientific Instruments)(ZDYZ2012-1-06) ; R&D of Key Instruments and Technologies for Deep Resources Prospecting (the National R&D Projects for Key Scientific Instruments)(ZDYZ2012-1-06) ; R&D of Key Instruments and Technologies for Deep Resources Prospecting (the National R&D Projects for Key Scientific Instruments)(ZDYZ2012-1-06) ; R&D of Key Instruments and Technologies for Deep Resources Prospecting (the National R&D Projects for Key Scientific Instruments)(ZDYZ2012-1-06) ; R&D of Key Instruments and Technologies for Deep Resources Prospecting (the National R&D Projects for Key Scientific Instruments)(ZDYZ2012-1-06) ; R&D of Key Instruments and Technologies for Deep Resources Prospecting (the National R&D Projects for Key Scientific Instruments)(ZDYZ2012-1-06) ; R&D of Key Instruments and Technologies for Deep Resources Prospecting (the National R&D Projects for Key Scientific Instruments)(ZDYZ2012-1-06) ; R&D of Key Instruments and Technologies for Deep Resources Prospecting (the National R&D Projects for Key Scientific Instruments)(ZDYZ2012-1-06) ; R&D of Key Instruments and Technologies for Deep Resources Prospecting (the National R&D Projects for Key Scientific Instruments)(ZDYZ2012-1-06) ; R&D of Key Instruments and Technologies for Deep Resources Prospecting (the National R&D Projects for Key Scientific Instruments)(ZDYZ2012-1-06) ; R&D of Key Instruments and Technologies for Deep Resources Prospecting (the National R&D Projects for Key Scientific Instruments)(ZDYZ2012-1-06) ; R&D of Key Instruments and Technologies for Deep Resources Prospecting (the National R&D Projects for Key Scientific Instruments)(ZDYZ2012-1-06) ; R&D of Key Instruments and Technologies for Deep Resources Prospecting (the National R&D Projects for Key Scientific Instruments)(ZDYZ2012-1-06) ; R&D of Key Instruments and Technologies for Deep Resources Prospecting (the National R&D Projects for Key Scientific Instruments)(ZDYZ2012-1-06) ; R&D of Key Instruments and Technologies for Deep Resources Prospecting (the National R&D Projects for Key Scientific Instruments)(ZDYZ2012-1-06) |
| 源URL | [http://ir.iggcas.ac.cn/handle/132A11/86972]  |
| 专题 | 中国科学院地质与地球物理研究所 |
| 通讯作者 | Gu, Bingluo |
| 作者单位 | 1.Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Key Lab Mineral Resources, Beijing 100029, Peoples R China |
| 推荐引用方式 GB/T 7714 | Gu, Bingluo,Li, Zhiyuan,Ma, Xiaona,et al. Multi-component elastic reverse time migration based on the P- and S-wave separated velocity-stress equations[J]. JOURNAL OF APPLIED GEOPHYSICS,2015,112:62-78. |
| APA | Gu, Bingluo,Li, Zhiyuan,Ma, Xiaona,&Liang, Guanghe.(2015).Multi-component elastic reverse time migration based on the P- and S-wave separated velocity-stress equations.JOURNAL OF APPLIED GEOPHYSICS,112,62-78. |
| MLA | Gu, Bingluo,et al."Multi-component elastic reverse time migration based on the P- and S-wave separated velocity-stress equations".JOURNAL OF APPLIED GEOPHYSICS 112(2015):62-78. |
入库方式： OAI收割
来源：地质与地球物理研究所
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