Seismic imaging of subsurface structure using tomographic migration velocity analysis: a case study of South China Sea data
文献类型:期刊论文
作者 | Wang, Yibo1; Xu, Jialiang1; Xie, Songlei1; Zhang, Lele1; Du, Xiangdong1; Chang, Xu1 |
刊名 | MARINE GEOPHYSICAL RESEARCH
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出版日期 | 2015 |
卷号 | 36期号:2-3页码:127-137 |
关键词 | Migration velocity analysis (MVA) Prestack Kirchhoff depth migration Travel-time inversion Ray tracing Offset-domain common image gather (ODCIG) |
通讯作者 | wangyibo@mail.igcas.ac.cn |
英文摘要 | Seismic migration algorithms are often used to reveal subsurface structures and can be roughly divided into stacking methods, pre-stack time migration methods and pre-stack depth migration methods. In theory, pre-stack depth migration methods can provide the most accurate subsurface images. However, these methods are sensitive to the accuracy of the migration velocity model, and thus the creation of a precise migration velocity model is one of the most important steps in seismic processing. We applied the tomographic travel-time inversion and the method of pre-stack Kirchhoff depth migration-based migration velocity analysis (MVA) to certain South China Sea data, in which we iteratively inverted the precise, high-resolution migration velocity model. We selected travel-time differences from the offset-domain common image gathers of the pre-stack Kirchhoff depth migration and inverted the travel-time differences for velocity updating. After several iterations, both the precise migration velocity model and the corresponding pre-stack depth migration image were obtained. The comparisons with Normal Move-out stacking and pre-stack Kirchhoff time migration confirm that the tomographic MVA and corresponding pre-stack Kirchhoff depth migration provide the best image quality and highest-resolution subsurface images from the South China Sea data. |
学科主题 | Geochemistry & Geophysics; Oceanography |
原文出处 | 0025-3235 |
源URL | [http://ir.scsio.ac.cn/handle/344004/14785] ![]() |
专题 | 南海海洋研究所_中科院海洋生物资源可持续利用重点实验室 |
作者单位 | 1.[Wang, Yibo 2.Xu, Jialiang 3.Zhang, Lele 4.Chang, Xu] Chinese Acad Sci, Inst Geol & Geophys, Key Lab Shale Gas & Geoengn, Beijing 100029, Peoples R China 5.[Xu, Jialiang 6.Zhang, Lele] Univ Chinese Acad Sci, Beijing 100049, Peoples R China 7.[Xie, Songlei] Chinese Acad Sci, South China Sea Inst Oceanol, Guangzhou 510301, Guangdong, Peoples R China 8.[Du, Xiangdong] China Natl Offshore Oil Corp, Beijing 100027, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Yibo,Xu, Jialiang,Xie, Songlei,et al. Seismic imaging of subsurface structure using tomographic migration velocity analysis: a case study of South China Sea data[J]. MARINE GEOPHYSICAL RESEARCH,2015,36(2-3):127-137. |
APA | Wang, Yibo,Xu, Jialiang,Xie, Songlei,Zhang, Lele,Du, Xiangdong,&Chang, Xu.(2015).Seismic imaging of subsurface structure using tomographic migration velocity analysis: a case study of South China Sea data.MARINE GEOPHYSICAL RESEARCH,36(2-3),127-137. |
MLA | Wang, Yibo,et al."Seismic imaging of subsurface structure using tomographic migration velocity analysis: a case study of South China Sea data".MARINE GEOPHYSICAL RESEARCH 36.2-3(2015):127-137. |
入库方式: OAI收割
来源:南海海洋研究所
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