b'AEGC 2023Short abstractsbeen utilised and adjusted ensuring that the final model followsTargeted raw geophysical datasets will be ingested and organised all known information about the region. at NCI so that they can be (re)processed with computational tools available within the NCI compute systems, and derivative versions of processed data can be linked back to the source Fixed-wing vs helicopter AEM systems: A Bayesiandatasets. Geophysical data releases will be discoverable through resolution analysis. the NCI data catalogue and Research Data Australia: metadata will be structured to enable vertical integration between Anandaroop Ray,Yusen Ley-Cooper, Richard Taylor, Ross Brodie,repositories that have higher level products, but still reference Neil Symington and Negin Moghaddam the rawer data at NCI. The project will make high-resolution Geoscience Australiageophysical datasets suitable for programmatic access in HPC environments at NCI with the intention of more easily enabling Long range, high-power airborne electromagnetic (AEM)inter-geophysical disciplinary science. Managed geophysical systems fall into two categories: helicopter borne or fixed-wingsoftware environments will be created that allow users the aircraft borne. These platforms have their own advantages andability to fluently scale their Jupyter analysis notebooks to NCIs disadvantages in terms of flying height, transmitter loop areaHPC Gadi system using CPUs and GPUs. This will ultimately lay and current, aerodynamic stability of transmitter and receiverthe foundations for more rapid data processing by 2030 next-frames, speed of acquisition, stacking times, cost, etc. With thegeneration scalable, data-intensive computation including exception of cost, all of these factors ultimately contribute to theartificial intelligence, machine learning and data assimilation.ability to resolve geological features of interest in the shallow subsurface. A comprehensive comparison of the relative meritsSouthern Canning Basin, Western Australia - Insights of all these factors is hard, but flights over known subsurfacefrom public airborne electromagnetic data.geology with downhole induction logs are extremely useful for resolution studies. However, given the non-linear nature of theJames Reid and Stanislawa Hickeyelectromagnetic inverse problem, especially when it comes to handling transmitter-receiver geometries in fixed wing aircraft,Mira Geoscienceit is not enough to examine closeness to available downholeA number of public airborne electromagnetic (AEM) datasets conductivities for assessing resolvability with a deterministicare available in the Southern Canning Basin, including the inversion. Instead, the width of the Bayesian posterior credibilityWest Canning Basin - Sandfire, Paterson North and more intervals of conductivity with depth for each kind of system,recent AusAEM TEMPEST surveys. AEM surveys in the area have flown over the same geology with measured survey noise levels,been flown for hydrogeological mapping, general geological sampled with the same priors, provides a more complete picturemapping and mineral exploration. Numerous deep petroleum of what each system can resolve. With the aid of synthetic modelswells and seismic lines are available, which provide very useful and real data examples flown over the Menindee calibrationconstraints on interpretation of the AEM data at depth. The range in New South Wales, we shed new light on the uncertaintyenvironment is often very favourable for AEM, with extensive at depth for different AEM systems. Specifically, we use a novelflat-lying sediments and regional conductive horizons such as Bayesian inversion which handles fixed-wing geometries asthe Jarlemai Siltstone and the Upper Permian unconformity nuisance parameters during sampling. Our findings have usefulwhich are good electromagnetic targets. Reliable depths of implications in system selection for surveying specific targets, asinvestigation in excess of 500 m are possible with AEM in places, well as in the design of better deterministic inversion codes. where extensive conductive horizons such as the Upper Permian are overlain by poorly to moderately-conductive sediments. The Building a national high-resolution geophysicselectromagnetic data provides an excellent image of the upper reference collection for 2030 computation. few hundred metres of the earth, and is complementary to the seismic data which often provides limited information within this Nigel Rees 1 Lesley Wyborn1, Ben Evans1, Rebecca Farrington2,depth range. This paper presents a comparison of inversions of Tim Rawling2, Rui Yang1 and Yue Sun1 the various generations of AEM data, and illustrates the major sedimentary units and faulting that can be imaged in the area.1 Australian National University, NCI 2 AuScope Integrated 3D modelling and associated machine Large volumes of geophysical data have been acquired bylearning targeting: the Jaguar Greenstone Belt example.universities, industry, federal/state government agencies since the 1950s. However, in many geophysical disciplines the valuableJames Reid, Aurore Joly, Glenn Pears and Jean-Philippe raw data has not been made publicly accessible and researchPaiementgeophysicists often have to go through a myriad of hurdles toMira Geosciencegain access to raw datasets of interest. In order to increase online collaboration, reduce time for analysis, and enable reproducibilityWe completed completed an integrated interpretation in and integrity of scientific discoveries, geophysical datasetsthe Jaguar Greenstone Belt in Western Australia, based on a will need to evolve to adopt the FAIR (Findable, Accessible,suite of geological, geochemical and geophysical datasets. Interoperable, Reusable) data principles for both human andThe 3D structural and stratigraphic regional model thus machine-to-machine interactions. The ARDC/AuScope/NCI/TERNdeveloped was consistent with the geophysical data, and funded 2030 Geophysics project is working towards makingformed the foundation for the exploration model. Targeting and accessible online the rawer, high-resolution versions of AuScopeprospectivity analysis were based on quantifying exploration funded magnetotelluric and passive seismic data, ensuring thattargeting criteria and explicitly representing these criteria in the they comply with the FAIR data principles and can be integratedexploration model for sub-seafloor replacement-style Volcanic with existing government datasets on the NCI HPC platform.Hosted Massive Sulfide (VHMS) deposits.FEBRUARY 2023 PREVIEW 134'