GNGTS 2024 - Atti del 42° Convegno Nazionale

Session 3.2 GNGTS 2024 EEMstudio is also a freeware tool, available for everyone, from students to professionals, and have an open-source code, so that there is the possibility to modify and improve it to ft everyone necessity. Acknowledgments This study has been partally carried out within the Horizon Europe project SEMACRET. References Auken, E., Viezzoli, A., & Christensen, A. (2009). A single sofware for processing, inversion, and presentaton of AEM data of diferent systems: The Aarhus Workbench. ASEG Extended Abstracts, 2009(1), 1-5. Auken, E., Christansen, A. V., Kirkegaard, C., Fiandaca, G., Schamper, C., Behroozmand, A. A., ... & Vignoli, G. (2015). An overview of a highly versatle forward and stable inverse algorithm for airborne, ground-based and borehole electromagnetc and electric data. Exploraton Geophysics, 46(3), 223-235. Blanchy, G., Saneiyan, S., Boyd, J., McLachlan, P., & Binley, A. (2020). ResIPy, an intuitve open source sofware for complex geoelectrical inversion/modeling. Computers & Geosciences, 137, 104423. Brodie, R. C., 2016, User Manual for Geoscience Australia’s Airborne Electromagnetc Inversion Sofware. Online: htps://github.com/GeoscienceAustralia/ga-aem.git. Cocket, R., Kang, S., Heagy, L. J., Pidlisecky, A., & Oldenburg, D. W. (2015). SimPEG: An open source framework for simulaton and gradient based parameter estmaton in geophysical applicatons. Computers & Geosciences, 85, 142- 154. Fiandaca, G., Zhang, B., Chen, J., Signora, A., Daut, F., Galli, S., Sullivan, N.A.L., Bollino, A., Viezzoli, A. (2024). EEMverter, a new 1D/2D/3D inversion tool for Electric and Electromagnetc data with focus on Induced Polarizaton.GNGTS 2024, 13-16 February 2024, Ferrara, Italy. Loke, M. H. (2004). Tutorial: 2-D and 3-D electrical imaging surveys. McLachlan, P., Blanchy, G., & Binley, A. (2021). EMagPy: Open-source standalone sofware for processing, forward modeling and inversion of electromagnetc inducton data. Computers & Geosciences, 146, 104561. Rücker, C., Günther, T., & Wagner, F. M. (2017). pyGIMLi: An open-source library for modelling and inversion in geophysics. Computers & Geosciences, 109, 106-123. Viezzoli, A., Jørgensen, F., & Sørensen, C. (2013). Flawed processing of airborne EM data afectng hydrogeological interpretaton, Groundwater, 51, 191–202. Corresponding author: nicole.sullivan@unimi.it