Institutional Repository of Radio Astronomy Research Laboratory
| 3-D data-space joint inversion of gravity and magnetic data using a correlation-analysis constraint | |
Liu, Sheng1,2,3 ; Jin, Shuanggen3,4,5; Xuan, Songbai3; Liu, Xiang1
| |
| 2022-09-29 | |
| Source Publication | ANNALS OF GEOPHYSICS
 |
| ISSN | 1593-5213 |
| Volume | 65Issue:4Pages:PE426 |
| Contribution Rank | 1 |
| Abstract | 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. |
| DOI | 10.4401/ag-8750 |
| URL | 查看原文 |
| Indexed By | SCI |
| Language | 英语 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.xao.ac.cn/handle/45760611-7/5139 |
| Collection | 射电天文研究室_星系宇宙学研究团组 |
| Affiliation | 1.Xinjiang Astronomical Observatory, Chinese Academy of Sciences, Urumqi 830011, China; 2.University of Chinese Academy of Sciences, Beijing 100049, China; 3.Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai 200030, China; 4.School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China; 5.Zhuhai Fundan Innovation Institute, Creative Valley, Hengqin New District, Zhuhai 518057, China |
| First Author Affilication | Xinjiang Astronomical Observatory, Chinese Academy of Sciences |
| Recommended Citation 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. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| Liu-2022-3-D data-sp（3519KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Application Full Text | |
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment