Source-independent time-domain vector-acoustic full-waveform inversion | |
Zhong, Yu1; Liu, Yangting2,3,4 | |
刊名 | GEOPHYSICS |
2019-07-01 | |
卷号 | 84期号:4页码:R489-R505 |
ISSN号 | 0016-8033 |
DOI | 10.1190/GEO2018-0304.1 |
英文摘要 | Dual-sensor seismic acquisition systems that record the pressure and particle velocity allow the recording of the full-vector-acoustic (VA) wavefields. Most previous studies have focused on data-domain processing methods based on VA seismic data; whereas, few studies focused on using full-VA seismic data in full-waveform inversion (FWI). Conventional acoustic FWI only takes advantage of the pressure recordings to estimate the medium's velocity model. Some artifact events will appear in the adjoint-state wavefields based on the conventional acoustic FWI method. These artifact events further reduce the accuracy of acoustic FWI. To simultaneously use pressure and vertical particle velocity recordings, we introduced a new time-domain VA FWI method. The VA FWI method can take advantage of directivity information contained in the VA seismic data. Thus, the adjoint-state wavefields based on VA FWI are more accurate than those from the conventional acoustic FWI method. In addition, we applied a convolution-based objective function to eliminate the effects of the source wavelet and implement a time-domain multiscale strategy in VA FWI. Synthetic examples are presented to demonstrate that VA FWI can improve the accuracy of acoustic FWI in the presence and absence of a free surface in the acoustic case. In addition, VA FWI does not significantly increase the computation and memory costs, but it has better convergence when compared with conventional acoustic FWI. |
资助项目 | Qingdao National Laboratory for Marine Science and Technology[QNLM201710] |
WOS研究方向 | Geochemistry & Geophysics |
语种 | 英语 |
出版者 | SOC EXPLORATION GEOPHYSICISTS |
WOS记录号 | WOS:000480678900023 |
内容类型 | 期刊论文 |
源URL | [http://ir.fio.com.cn:8080/handle/2SI8HI0U/30130] |
专题 | 业务部门_海洋地质与地球物理研究室 |
通讯作者 | Liu, Yangting |
作者单位 | 1.China Univ Geosci Beijing, Sch Geophys & Informat Technol, Beijing 100083, Peoples R China 2.Minist Nat Resources, Inst Oceanog 1, Qingdao 266061, Shandong, Peoples R China 3.Qingdao Natl Lab Marine Sci & Technol, Qingdao 266237, Shandong, Peoples R China 4.China Univ Geosci, Beijing 100083, Peoples R China |
推荐引用方式 GB/T 7714 | Zhong, Yu,Liu, Yangting. Source-independent time-domain vector-acoustic full-waveform inversion[J]. GEOPHYSICS,2019,84(4):R489-R505. |
APA | Zhong, Yu,&Liu, Yangting.(2019).Source-independent time-domain vector-acoustic full-waveform inversion.GEOPHYSICS,84(4),R489-R505. |
MLA | Zhong, Yu,et al."Source-independent time-domain vector-acoustic full-waveform inversion".GEOPHYSICS 84.4(2019):R489-R505. |
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