3-D data-space joint inversion of gravity and magnetic data using a correlation-analysis constraint
文献类型：期刊论文
| 作者 | Liu, Sheng1,4,5 ; Jin, Shuanggen1,2,3; Xuan, Songbai1; Liu, Xiang5
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| 刊名 | ANNALS OF GEOPHYSICS
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| 出版日期 | 2022-09-29 |
| 卷号 | 65期号:4页码:PE426 |
| ISSN号 | 1593-5213 |
| DOI | 10.4401/ag-8750 |
| 产权排序 | 1 |
| 英文摘要 | Non-uniqueness, low computational efficiency and large memory requirements are main issues for geophysical data inversion. In this paper, we propose an efficient algorithm for 3D correlationanalysis joint inversion of gravity and magnetic data with high accuracy and low computation effort. Firstly, since the number of the observed field data is smaller than the number of inverted parameters, the calculations of the correlation-analysis for joint inversion of gravity and magnetic data in model space (MS) are transformed into the equivalent calculations in data space (DS), which can reduce the dimensions of the calculation domain, improve the computation efficiency and reduce the non-uniqueness. Then, an improved conjugate gradient (ICG) method is employed for the optimization algorithm, which can facilitate the use of stable functions with sparse factors and improve the accuracy of the inversion. The inversion performed by the combined DS-ICG method for synthetic data tests shows the calculation effort can be effectively reduced, and the issues with non-uniqueness are improved. Finally, the test by real field data can delineate the distribution of underground geological bodies, which illustrates the strong stability and good applicability of our extended method. |
| URL标识 | 查看原文 |
| 语种 | 英语 |
| 源URL | [http://ir.xao.ac.cn/handle/45760611-7/5139]  |
| 专题 | 星系宇宙学研究团组 |
| 作者单位 | 1.Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai 200030, China; 2.Zhuhai Fundan Innovation Institute, Creative Valley, Hengqin New District, Zhuhai 518057, China 3.School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China; 4.University of Chinese Academy of Sciences, Beijing 100049, China; 5.Xinjiang Astronomical Observatory, Chinese Academy of Sciences, Urumqi 830011, China; |
| 推荐引用方式 GB/T 7714 | Liu, Sheng,Jin, Shuanggen,Xuan, Songbai,et al. 3-D data-space joint inversion of gravity and magnetic data using a correlation-analysis constraint[J]. ANNALS OF GEOPHYSICS,2022,65(4):PE426. |
| APA | Liu, Sheng,Jin, Shuanggen,Xuan, Songbai,&Liu, Xiang.(2022).3-D data-space joint inversion of gravity and magnetic data using a correlation-analysis constraint.ANNALS OF GEOPHYSICS,65(4),PE426. |
| MLA | Liu, Sheng,et al."3-D data-space joint inversion of gravity and magnetic data using a correlation-analysis constraint".ANNALS OF GEOPHYSICS 65.4(2022):PE426. |
入库方式： OAI收割
来源：新疆天文台
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