DLP Webinar: Effect of induced polarization on galvanic and inductive data: where is it stronger?
| Instructor: | Prof. Gianluca Fiandaca |
|---|---|
| Duration: | 30 + 15 Q&A |
| Discipline: | Acquisition, Processing and Inversion |
| Main topics: | Induced Polarization, Transient EM, Galvanic data |
| Language: | English |
Next Delivery: 28 August 2024, 9AM CEST
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The phenomenon of Induced Polarization (IP) is commonly studied with galvanic methods, both in the field and in the laboratory. IP effects on inductive electromagnetic (EM) data have been reported since the early ‘80s, but the attention of the EM community in IP focuses mainly on exploration purposes, because strong chargeable anomalies trigger negative EM responses. In this study we show that the IP effect strongly affects EM data also in sand/clay environments, with a variety of acquisition systems, ranging from airborne EM, classic ground-based and portable systems for continuous ground acquisitions (the tTem system, towed by an ATV, and the Loupe system, mounted on backpacks). The effect on EM data simulated with these systems is much stronger than on data acquired with the galvanic method. These simulation findings are compared to the analysis of real galvanic and inductive data acquired in the field at the HydroGeosITe, the Italian calibration and reference site for electric and electromagnetic methods. The field data are inverter jointly, taking into account IP: not only the IP effect in EM data is significant, but the joint inversion shows an unprecedented resolution, opening the way for a change of paradigm in the imaging of electrical properties.
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About the Lecturer
Gianluca Fiandacais Associate Professor in at the University of Milano, Italy, where he is Head of The EEM Team for Hydro & eXploration, the laboratory of electric and electromagnetic methods for aquifer characterization and mineral exploration of the Department of Earth Sciences. Graduated in Physics at the University of Palermo, he worked ten years at the HydroGeophysics Group of Aarhus University (Denmark). His main research interests are the acquisition, processing and inversion of Electric and Electromagnetic data, for characterization and monitoring of aquifers and for mineral exploration