Details of the Abstract
| Title of paper | 2-D MT gradient prediction with the transformer + Unet network: TM case |
| List of authors | Kunpeng W., Co-author, Chongxin Y., Co-author, Wei L. |
| Affiliation(s) |
1 Key Laboratory of Earth Exploration and Information Technology of Ministry of Education, Chengdu University of Technology, Chengdu 610059, 2 School of Big Data and Statistics, Sichuan Tourism University, Chengdu 610100, 3 Sichuan Natural Resources Investigation and Design Group Company Ltd., Chengdu 610051, |
| Summary | We propose a method based on deep learning to predict the magnetotelluric gradient, which can bring new possibilities for rapid analysis and accelerated inversion of practical problems. |
| Session Keyword | 2.0 EM theory, modelling and Inversion |
| File upload |
2.0_2-d_mt_gradient_predictio_wang_01.pdf
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