b'AEM 2023Short abstractsStarting from the geological model and based on an ad hocTEMPEST data system bandwidth comparisonspiezometric campaign, carried out in the meanwhile on the same area, two 3D FEM flow models has been developed,Nirocca ND Devkurran1, Eric ES Steele2, David DM Murray3, namely a steady-state one and a transient one. TheseMohamed MA Abubeker4 and Kah Tho KL Lee4achievements have allowed us to understand complex1. AEM Processing, Xcalibur Multiphysics, Pretoria, Gauteng, operational situations and to manage them with robustSouth Africaawareness. In the light of these promising results, we have2. Research & Development, Xcalibur Multiphysics, Perth, decided to extend the investigation on a wider area, coveringWesternAustralia, Australiafurther 1700 km2. The whole activity will provide a detailed3. AEM Processing, Xcalibur Multiphysics, Toronto, Ontario, Canadadatabase, from which impressive multidisciplinary applications4. AEM Processing, Xcalibur Multiphysics, Perth, Western Australia, can be inferred. Amongst them, priority will be given in settlingAustraliadrought effects, assessing groundwater vulnerability and evaluating geotechnical phenomena, such as saturated looseThe TEMPEST fixed wing TDEM system continually undergoes sand liquefaction. evolutionary advancements, pushing the technical boundaries for meeting industry needs of improved accuracy and reliability. Joint inversions of AEM modelling AIP effects:Higher speed data acquisition rates (increased bandwidth) Helicopter-borne, ground ip and fixed-wing systems have been one of the developments for improving resolution and imaging products that would benefit hydro geological Francesco Dauti1, Andrea Viezzoli2 and Gianluca Fiandaca1 exploration and reservoir characterisation. Multiple sampling rate data will be acquired over a known (geologically mapped) 1. University of Milan, Milan, Italy setting and an assessment will be made against drill hole 2. Emergo srl, Pisa, Italy information, in order to understand the response as a function It is nowadays widely accepted that Induced Polarisationof varying bandwidth.(IP) effects can affect Airborne Electromagnetic (AEM) measurements. Modelling the AEM data with a dispersive- Californias statewide AEM surveys: Project resistivity allow to properly retrieve the halfspace parametersimplementation and next stepsavoiding high inversion misfits and wrong structures. Even if the Airborne IP (AIP) modelling it is a known and controlled practice,Katherine Dlubac1, Steven Springhorn1, Benjamin Brezing1,there are still some open questions regarding the complexities ofIanGottschalk2, Paul Thorn3, Timothy Parker4 and ChrisPeterson5this modelling approach. Most of this lie into the AIP sensitivity1. California Department of Water Resources, Sacramento, CA, to geological targets, others in its capability in integrate with theUnited Statesground IP and other more about the parametrical management2. Ramboll , Tampa, FL, USAduring the inversion process. To contribute on the AEM-IP3. Ramboll, Copenhagen, Denmarkmodelling field of research, with this work we performed two4. Ramboll, Sacramento, CA, USAjoint inversions on real data modelling AIP effects. For the5. GEI, Sacramento, CA, USAfirst experiment we jointly inverted AEM-IP fixed-wing data with helicopter-borne data. For the other experiment, wePassage of the Sustainable Groundwater Management ACT jointly modelled ground DCIP and helicopter-borne AEM data,(SGMA) in California has resulted in the need for improving modelling AIP parameters. With these experiments we retrievedthe understanding of groundwater aquifers to support that inductive airborne IP can contribute, in term of sensitivity, togroundwater managers in developing and implementing the ground IP modelling procedure and that fixed-wing airbornegroundwater management plans and actions. The California data have a good sensitivity to chargeable geological targets asDepartment of Water Resources (DWR) has supported this effort well as helicopter-borne platforms. More in general, it has beenby implementing the statewide AEM Survey Project, where seen that inductive IP contains complementary information fordata are collected in a reconnaissance grid across Californias modelling IP effects. priority basins. Raw, processed, inverted, and interpreted AEM data as well as digitised lithology and e-logs are made publicly Estimating noise in AEM data available and novel tools have been developed to support data accessibility.Aaron DavisWith the Statewide AEM Surveys nearing completion, DWR CSIRO, Kensington, WA, Australia is undertaking an effort to utilise the Statewide AEM Survey In this paper, I discuss a method to obtain reliable noisedataset along with other existing data (surface geophysics, estimates for airborne electromagnetic (AEM) surveys basedlithology logs, e-logs, geologic cross sections) to provide an on the reversible-jump Markov chain Monte Carlo method. Inimproved understanding of basin characteristics. To support this addition to estimating electrical conductivity and thicknesstask, new tools are being developed that will analyse all data using 1D layered-earth models, the method provides estimatesavailable to produce refined, texture and hydrogeologic models. of the additive error required to make all measurements of aResults will be archived in DWRs California groundwater repeat line agree. The noise estimates can also be obtained frompublication and basin reports and models will be available to a single line where repeat line information is unavailable. Thevisualise through new and innovative 3D, GIS-based tools.resulting additive noise estimates then can be used in a generalTo support this effort, DWR will also be conducting pilot deterministic inversion. Analysis of inversions shows that modelstudies that will include the collection of additional data regularisation has little effect at depths where the data iswith the goal of filling data gaps and addressing specific informative. This improves the reliability of the inverted models,SGMA implementation questions. The first pilot study will be since it is the noise-adjusted data which is informing the model. conducted on the eastern side of the San Joaquin Valley in 55 PREVIEW AUGUST 2023'