Joint Inversions of AEM modelling AIP effects: Helicopter-borne, Ground IP and Fixed-Wing systems
- 1. The EEM Team for Hydro & eXploration, Dep. of Earth Sciences A. Desio,, Universita degli Studi di Milano,, Via Botticelli 23, Milano (Italy), francesco.dauti@unimi.it
- 2. EMergo srl,, Via XX Settembre 12, Cascina, (Pisa, Italy), andrea.viezzoli@em-ergo.it
- 3. The EEM Team for Hydro & eXploration, Dep. of Earth Sciences A. Desio,, Universita degli Studi di Milano,, Via Botticelli 23, Milano (Italy), gianluca.fiandaca@unimi.it
Description
It is nowadays widely accepted that Induced Polarization (IP) effects can affect Airborne Electromagnetic (AEM) measurements. Modelling the AEM data with a dispersive- resistivity allow to properly retrieve the halfspace parameters avoiding high inversion misfits and wrong structures. Even if the Airborne IP (AIP) modelling it is a known and controlled practice, there are still some open questions regarding the complexities of this modelling approach. Most of this lie into the AIP sensitivity to geological targets, others in its capability in integrate with the ground IP and other more about the parametrical management during the inversion process. To contribute on the AEM-IP modelling field of research, with this work we performed two joint inversions on real data modelling AIP effects. For the first experiment we jointly inverted AEM-IP fixed-wing data with helicopter-borne data. For the other experiment, we jointly modelled ground DCIP and helicopter-borne AEM data, modelling AIP parameters. With these experiments we retrieved that inductive airborne IP can contribute, in term of sensitivity, to the ground IP modelling procedure and that fixed-wing airborne data have a good sensitivity to chargeable geological targets as well as helicopter-borne platforms. More in general, it has been seen that inductive IP contains complementary information for modelling IP effects .
Other
Open-Access Online Publication: October 30, 2023Files
AEM2023_ID011.pdf
Files
(513.3 kB)
Name | Size | Download all |
---|---|---|
md5:29ea8d7a19bb71236984db12a28e393e
|
513.3 kB | Preview Download |