b'AEM 2023Short abstractsparameters such as groundwater chloride content in coastalalso use a stochastic reverse jump Monte Carlo Markov Chain and salt dome areas, groundwater iron content in formerinversion on the SkyTEM data.lignite mining areas, and peat volumes of mires. These applications combined local data (e.g boreholes) or externalThe results from both algorithms are comparable and models as well as airborne geophysical data to derive spatialcorrelate well with the known geological information estimates, which then served as baseline date for advancedpublished by Chalice mining, based on drill holes and other (hydro-) geological modelling. geophysical surveys.Using Airborne EM for exploring for minerals under The HydroGeosITe for AEM mapping: characterisationcover could provide a lot more information about the through joint inversion of AEM, ground EM andsubsurface than just mapping highly conductivity sulphide mineralisation zones.DCIPdataAlessandro Signora1, Stefano Galli1, Matteo Gisolo2, GianlucaEEMstudio: an open-source freeware QGIS plugin for Fiandaca1 and IIaria Menga1 processing, modelling and inversion of electric and 1. Univ. of Milan, Dep. of Earth Sciences A. Desio, The EEM Team forelectromagnetic dataHydro & eXploration, Milano, Italy2. A2A Ciclo Idrico S.p.a., Brescia, Italy Nicole Anna Lidia Sullivan1, Andrea Viezzoli2 and GianlucaFiandaca1The HydroGeosITe project aims at the establishment of the first Italian calibration and reference site for airborne1. Universit degli Studi di Milano, Milano, ITALY, Italyelectromagnetic (AEM), ground EM and electric geophysical2. EMergo srl, Pisa, Italymethods within the largest AEM campaign carried out in ItalyThe typical workflow in electric and electromagnetic for groundwater mapping and management. methods includes the acquisition of the data, processing The geophysical characterisation of the HydroGeosITe combinesof the received signal and inversion to achieve a model of AEM, ground EM and galvanic direct current and inducedthe electrical properties of the ground. The data processing polarisation (DCIP) surveys, for the retrieval of a unique 3Dis a crucial step that defines the outcome of the resulting distribution of conduction and polarisation electrical properties,model. The electromagnetic method, in fact, as well as the able to describe all geophysical data. induced polarisation in galvanic acquisitions, is particularly susceptible to the systematic noise caused by anthropogenic This is achieved through a joint inversion of all inductive andinfrastructures. Therefore, it is mandatory to remove the noisy galvanic data in terms of dispersive resistivity, with data misfitdata in order to retrieve reliable models. The standard method comparable to the independent inversions and significantlyfor this task is the visual culling of the data that are most improved resolution. affected by noise and interferences (the so-called outliers), through software with graphical user interfaces designed with The HydroGeosITe will serve as calibration site for future AEMthis specific aim.campaigns, as well as for ground-based EM and galvanic surveys. Furthermore, borehole drillings down to severalEEMstudio is a QGIS plugin that allows to visualise electric and hundreds of meters are being carried out, with lithologicalelectromagnetic data, to select and remove outliers, as well as description and geophysical logging, for establishing amodelling data and launch inversions though the modelling reference in the interpretations of the resistivity modelsand inversion kernel EEMverter, keeping always a link to the retrieved by the AEM campaign. map during the process.EEMstudio is composed by a docked widget in QGIS where Going the extra mile - Julimar, a case study fromthe soundings are plotted, a main window for data processing, Western Australia equipped with ad hoc plots to visualise the data, and other windows for launching forward modelling on synthetic data Camilla Serensen1, Timothy Munday2 and Toke Sltoft1 as well as inversions, having all the useful tools in a minimum 1. Seequent, Aarhus, NA, Denmark space. Furthermore, EEMstudio is distributed as a freeware and 2. CSIRO, Kensington, WA, Australia open-source tool, accessible to anyone and editable to suit new necessities, under the EUPL 1.2 free software licence.The Julimar Complex, which is located in Western Australia, hosts the recently discovered Gonneville deposit which containsTEMPEST electromagnetic transmitters with multiple massive sulphide mineralisation (Pd, Pt, Ni, Cu and Co). The deposit was discovered by using a moving loop EM survey andloops and multistep waveforms follow up geophysics including AEM confirmed the find. Andrew Sunderland1 and Eric Steele2In this study we use a SkyTEM AEM line, which was acquired as1. University of Western Australia, Crawley, WA, Australiapart of the AUS-AEM initiative, which crosses the Gonneville2. Xcalibur Multiphysics, Jandakot, Western Australia, Australiadeposit. The objective is to extract as much information from that data as possible to demonstrate that AEM can be used forThe vertical resolution of airborne electromagnetic systems is general geological mapping in addition to anomaly detection.limited by the earliest time window and how fast the transmitter By using several inversion methods and analysing the results wecurrent can transition. Presented is how transmitter loop get an understanding of the most believable model. In additiongeometry and different transmitter waveforms could decrease to a deterministic full non-linear inversion of the data, wethe transmitter ramp time by up to a factor of eight.AUGUST 2023 PREVIEW 64'