Directional Total Variation Regularized High-Resolution Prestack AVA Inversion
文献类型：期刊论文
| 作者 | Huang, Guangtan1; Chen, Xiaohong2; Qu, Shan3; Bai, Min4; Chen, Yangkang5 |
| 刊名 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
 |
| 出版日期 | 2022 |
| 卷号 | 60页码:11 |
| 关键词 | Mathematical model Digital TV Rocks Media Data models Transforms Tools Directional total variation (DTV) high resolution prestack amplitude variation with angle (AVA) inversion seismic slope |
| ISSN号 | 0196-2892 |
| DOI | 10.1109/TGRS.2021.3078293 |
| 英文摘要 | Prestack seismic inversion has emerged as a powerful technique for reconstructing parameters attribute to the subsurface properties and building the geophysical parameter models. However, the inversion algorithms always suffer from spatial blur and low resolution. Total variation (TV) regularization preserves the spatial variation boundary of data by highlighting the sparsity of the first-order difference, which is regarded as an important technical means for image restoration. However, when the data do not change along the spatial grid direction, TV regularization is prone to a staircase effect. In this article, a directional TV (DTV) method is proposed to conduct the prestack amplitude variation with offset/angle (AVO/AVA) inversion. The method consists of three essential steps: estimating the seismic slope attribute from the seismic data, introducing seismic slope attribute to the TV regularization to establish the objective function, and optimizing the objective function by the split-Bregman algorithm. Finally, the conventional and proposed methods are applied to the synthetic and the real seismic data. The comparison of different methods demonstrates that the proposed method is applicable to reveal the detailed subsurface models, alleviate the staircase effect or artifact substantially, and further upgrade the quality of prestack inversion results. |
| 资助项目 | National Natural Science Foundation of China[42004111] ; National Natural Science Foundation of China[41704121] ; National Natural Science Foundation of China[41774129] ; China Postdoctoral Science Foundation[2020M681860] |
| WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000732892600001 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/30876]  |
| 专题 | 中科院武汉岩土力学所 |
| 通讯作者 | Chen, Yangkang |
| 作者单位 | 1.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China 2.China Univ Petr, State Key Lab Petr Resources & Prospecting, Beijing 102200, Peoples R China 3.Delft Univ Technol, Dept Imaging Phys, NL-2628 CD Delft, Netherlands 4.Yangtze Univ, Minist Educ, Key Lab Explorat Technol Oil & Gas Resources, Wuhan 430100, Peoples R China 5.Zhejiang Univ, Sch Earth Sci, Hangzhou 310027, Peoples R China |
| 推荐引用方式 GB/T 7714 | Huang, Guangtan,Chen, Xiaohong,Qu, Shan,et al. Directional Total Variation Regularized High-Resolution Prestack AVA Inversion[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2022,60:11. |
| APA | Huang, Guangtan,Chen, Xiaohong,Qu, Shan,Bai, Min,&Chen, Yangkang.(2022).Directional Total Variation Regularized High-Resolution Prestack AVA Inversion.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,60,11. |
| MLA | Huang, Guangtan,et al."Directional Total Variation Regularized High-Resolution Prestack AVA Inversion".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 60(2022):11. |
入库方式： OAI收割
来源：武汉岩土力学研究所
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