Three-dimensional inversion of full magnetic gradient tensor data based on hybrid regularization method
文献类型：期刊论文
| 作者 | Ji, Shuangxi1,7; Zhang, Huai1,2; Wang, Yanfei3; Rong, Liangliang4; Shi, Yaolin1; Chen, Yongshun5,6 |
| 刊名 | GEOPHYSICAL PROSPECTING
 |
| 出版日期 | 2019 |
| 卷号 | 67期号:1页码:226-261 |
| 关键词 | Full magnetic gradient tensor data Hybrid parameter regularization Minimum support functional MSTV stabilizer TV regularization |
| ISSN号 | 0016-8025 |
| DOI | 10.1111/1365-2478.12721 |
| 英文摘要 | Rapid developments in SQUID-based technology make it possible for geophysical exploration to direct measure, inverse and interpret magnetic gradient tensor data. This contribution introduces a novel three-dimensional hybrid regularization method for inversion of magnetic gradient tensor data, which is based on the minimum support functional and total variation functional. Compared to the existing stabilizers, for example, the minimum support stabilizer, the minimum gradient support stabilizer or the total variation stabilizer, our proposed hybrid stabilizer, in association with boundary penalization, improves the revision result greatly, including higher spatial and depth resolution, more clear boundaries, more highlighted images and more evident structure depiction. Moreover, suitable selection of model parameter lambda will further improve the image quality of the recovered model. We verify our proposed hybrid method with various synthetic magnetic models. Experiment results prove that this method gives more accurate results, exhibiting advantages of less computational costs even when less prior information of magnetic sources are provided. Comparison of results with different types of magnetic data with and without remanence indicates that our inversion algorithm can obtain more detailed information on the source structure based on rational estimation of total magnetization direction. Finally, we present a case study for inverting SQUID-based magnetic tensor data acquired at Da Hinggan Mountains area, inner Mongolia, China. The result also certifies that the method is reliable and efficient for real cases. |
| WOS关键词 | AEROMAGNETIC DATA ; POTENTIAL FIELDS ; 3D INVERSION ; EULER DECONVOLUTION ; GRAVITY ; GRADIOMETER ; DIMENSIONS ; SIGNAL ; AREA |
| 资助项目 | National Science Foundation of China[41725017] ; National Science Foundation of China[41590864] ; National Basic Research Program of China[2014CB845906] ; National Key R&D Program of China[2017YFC0602001] ; National Natural Science Foundation of China[Y81101J1A1] ; China Postdoctoral Science Foundation[119103S285] ; R & D of Key Instruments and Technologies for Deep Resources Prospecting (the National R & D Projects for Key Scientific Instruments)[ZDYZ2012-1-02] ; Strategic Priority Research Program (B) of the Chinese Academy of Sciences[XDB18010202] |
| WOS研究方向 | Geochemistry & Geophysics |
| 语种 | 英语 |
| WOS记录号 | WOS:000454407400014 |
| 出版者 | WILEY |
| 资助机构 | National Science Foundation of China ; National Science Foundation of China ; National Basic Research Program of China ; National Basic Research Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; R & D of Key Instruments and Technologies for Deep Resources Prospecting (the National R & D Projects for Key Scientific Instruments) ; R & D of Key Instruments and Technologies for Deep Resources Prospecting (the National R & D Projects for Key Scientific Instruments) ; Strategic Priority Research Program (B) of the Chinese Academy of Sciences ; Strategic Priority Research Program (B) of the Chinese Academy of Sciences ; National Science Foundation of China ; National Science Foundation of China ; National Basic Research Program of China ; National Basic Research Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; R & D of Key Instruments and Technologies for Deep Resources Prospecting (the National R & D Projects for Key Scientific Instruments) ; R & D of Key Instruments and Technologies for Deep Resources Prospecting (the National R & D Projects for Key Scientific Instruments) ; Strategic Priority Research Program (B) of the Chinese Academy of Sciences ; Strategic Priority Research Program (B) of the Chinese Academy of Sciences ; National Science Foundation of China ; National Science Foundation of China ; National Basic Research Program of China ; National Basic Research Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; R & D of Key Instruments and Technologies for Deep Resources Prospecting (the National R & D Projects for Key Scientific Instruments) ; R & D of Key Instruments and Technologies for Deep Resources Prospecting (the National R & D Projects for Key Scientific Instruments) ; Strategic Priority Research Program (B) of the Chinese Academy of Sciences ; Strategic Priority Research Program (B) of the Chinese Academy of Sciences ; National Science Foundation of China ; National Science Foundation of China ; National Basic Research Program of China ; National Basic Research Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; R & D of Key Instruments and Technologies for Deep Resources Prospecting (the National R & D Projects for Key Scientific Instruments) ; R & D of Key Instruments and Technologies for Deep Resources Prospecting (the National R & D Projects for Key Scientific Instruments) ; Strategic Priority Research Program (B) of the Chinese Academy of Sciences ; Strategic Priority Research Program (B) of the Chinese Academy of Sciences |
| 源URL | [http://ir.iggcas.ac.cn/handle/132A11/90254]  |
| 专题 | 地质与地球物理研究所_中国科学院油气资源研究重点实验室 |
| 通讯作者 | Ji, Shuangxi |
| 作者单位 | 1.Univ Chinese Acad Sci, Key Lab Computat Geodynam, Beijing 100049, Peoples R China 2.Qingdao Natl Lab Marine Sci & Technol, Lab Marine Mineral Resources, Qingdao 266237, Peoples R China 3.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resources Res, Beijing 100029, Peoples R China 4.Chinese Acad Sci, Shanghai Inst Microsyst & Informat, CAS Ctr Excellence Superconducting Elect, Shanghai 200050, Peoples R China 5.Peking Univ, Sch Earth & Space Sci, Dept Geophys, Beijing 100871, Peoples R China 6.Southern Univ Sci & Technol, Dept Ocean Sci & Engn, Shenzhen 518055, Peoples R China 7.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Ji, Shuangxi,Zhang, Huai,Wang, Yanfei,et al. Three-dimensional inversion of full magnetic gradient tensor data based on hybrid regularization method[J]. GEOPHYSICAL PROSPECTING,2019,67(1):226-261. |
| APA | Ji, Shuangxi,Zhang, Huai,Wang, Yanfei,Rong, Liangliang,Shi, Yaolin,&Chen, Yongshun.(2019).Three-dimensional inversion of full magnetic gradient tensor data based on hybrid regularization method.GEOPHYSICAL PROSPECTING,67(1),226-261. |
| MLA | Ji, Shuangxi,et al."Three-dimensional inversion of full magnetic gradient tensor data based on hybrid regularization method".GEOPHYSICAL PROSPECTING 67.1(2019):226-261. |
入库方式： OAI收割
来源：地质与地球物理研究所
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