Details of the abstract
| Title of paper | 3D inversion of an integrated TEM survey |
| List of authors | Longying Xiao, Gianluca Fiandaca, Pradip K. Maurya, Anders Vest Christiansen |
| Affiliation(s) | Geological Survey of Finland (GTK), University of Milano, Aarhus University, Aarhus University |
| Summary | Recent instrument advancements in the field of the transient electromagnetic (TEM) method enable applications adapted to different environments. To invert integrated datasets from ground-based and waterborne TEM surveys under one model domain, the complexity increases for two factors: i) significant multi-dimensionality effects from settings with strong conductivity contrasts such as a coastline. ii) sensitivity footprints vary depending on the systems. We address these challenges by utilizing a previously developed 3D octree-based inversion scheme, where the decoupling between forward and inversion mesh allows local meshes for individual soundings, and a commonly shared model for the inversion domain. We demonstrate the framework environments through synthetic and field case studies. These experiments show that: i) for such surveys, the 3D inversion outperforms the 1D inversion in terms of a lower data misfit and more accurate predicted model; ii) a careful forward mesh refinement is required to effectively explain the data collected at the settings with thin and highly conductive top layers. |
| Session Keyword | 2.0 Theory, Modelling and Inversion |
| File upload |
2.0_3d_inversion_of_an_integr_xiao_03.pdf
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