Details of the Abstract
| Title of paper | Constrained 3D magnetotelluric inversion with realistic prior information |
| List of authors | Author, Ruijin Kong, Co-author, Zhengyong Ren, Co-author, Jingtian Tang. |
| Affiliation(s) |
School of Geosciences and Info-Physics, Central South University, Changsha 410083, China, School of Geosciences and Info-Physics, Central South University, Changsha 410083, China, School of Geosciences and Info-Physics, Central South University, Changsha 410083, China. |
| Summary | The magnetotelluric (MT) method is a powerful tool for mapping subsurface electrical structures, yet it faces challenges in 3D inversion due to data limitations, resulting in ill-posed and non-unique problems. This paper introduces a novel algorithm for constrained inversion of 3D MT data, integrating structural and rock-physics constraints. Our approach employs unstructured tetrahedral meshes for subsurface discretization and utilizes the Gauss-Newton method to minimize the objective function. Structural constraints are applied using the cross-gradient method, while rock-physics constraints are incorporated through the guided fuzzy c-means clustering (GFCM) method. Initially, we validated our algorithm using a block anomaly model with undulating topography, comparing the results of unconstrained and constrained inversion. The findings demonstrate that constrained inversion produces a more accurate model. This research enhances our understanding of the Earth's subsurface by effectively integrating structural and rock-physics constraints into 3D MT inversion, offering a valuable tool for geophysical exploration and research. |
| Session Keyword | 2.0 EM theory, modelling and Inversion |
| File upload |
2.0_constrained_3d_magnetotel_kong.pdf
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