A Born-WKBJ Pre-Stack Seismic Inversion Based on a 3-D Structural-Geology Model Building
文献类型：期刊论文
| 作者 | Luo, Cong1; Ba, Jing1; Huang, Guangtan2; Carcione, Jose M.1,3 |
| 刊名 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
 |
| 出版日期 | 2021-08-16 |
| 页码 | 11 |
| 关键词 | Mathematical model Computational modeling Buildings Solid modeling Geology Analytical models Numerical models 3-D structure constraints Born-Wentzel-Kramers-Brillouin-Jeffreys (WKBJ) approximation model building pre-stack seismic inversion |
| ISSN号 | 0196-2892 |
| DOI | 10.1109/TGRS.2021.3103430 |
| 英文摘要 | Estimation of subsurface properties by using the scattering integral equation is a method that finds increasing use in near-surface and shallow oil/gas exploration, based on seismic, low-frequency electromagnetic, and surface-radar surveys. The method can accurately simulate physical realizations induced by small-scale perturbations, but its accuracy depends on a suitable low-frequency property model. We propose a 3-D geological-structure-guided model building to provide a reliable low-frequency model and combine it with the Born-Wentzel-Kramers-Brillouin-Jeffreys (WKBJ)-approximation-based inversion algorithm. Instead of the traditional approach based on artificially interpreted horizons, we use 3-D seismic-slope attributes as lateral constraints, which contain more geological information. Plane-wave destruction (PWD) in 3-D is exploited to extract the 2-D slopes along the inline and crossline directions, which are the key factors in computing 3-D slopes. Then, by introducing the shaping regularization, we build low-frequency models by solving the inverse problem. Numerical analysis indicates that an appropriate background model is essential for seismic modeling with the Born-WKBJ approximation. The methodology is applied to synthetic and 3-D field data, and the examples show that it provides reliable background models and improves the inversion performance. |
| 资助项目 | National Natural Science Foundation of China[42004111] ; China Postdoctoral Science Foundation[2021T140175] ; China Postdoctoral Science Foundation[2019M661716] ; China Postdoctoral Science Foundation[2020M681860] ; Fundamental Research Funds for the Central Universities of China[B200202135] ; Jiangsu Innovation and Entrepreneurship Plan ; Jiangsu Province Science Fund for Distinguished Young Scholars |
| WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000732775100001 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/30902]  |
| 专题 | 中科院武汉岩土力学所 |
| 通讯作者 | Ba, Jing |
| 作者单位 | 1.Hohai Univ, Dept Geol Engn, Nanjing 211100, Peoples R China 2.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China 3.Natl Inst Oceanog & Appl Geophys OGS, I-34010 Trieste, Italy |
| 推荐引用方式 GB/T 7714 | Luo, Cong,Ba, Jing,Huang, Guangtan,et al. A Born-WKBJ Pre-Stack Seismic Inversion Based on a 3-D Structural-Geology Model Building[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2021:11. |
| APA | Luo, Cong,Ba, Jing,Huang, Guangtan,&Carcione, Jose M..(2021).A Born-WKBJ Pre-Stack Seismic Inversion Based on a 3-D Structural-Geology Model Building.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,11. |
| MLA | Luo, Cong,et al."A Born-WKBJ Pre-Stack Seismic Inversion Based on a 3-D Structural-Geology Model Building".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2021):11. |
入库方式： OAI收割
来源：武汉岩土力学研究所
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