The Galilee Basin Hydrogeological Model is a numerical groundwater flow model of the Galilee subregion in Queensland, an area of approximately 300,000 square kilometres. The model encompasses the entire geological Galilee Basin as well as parts of the overlying Eromanga Basin and surficial Cenozoic sediments. The model includes aquifers that form part of the Great Artesian Basin (specifically those aquifers in the Eromanga Basin), a hydrogeological system of national significance (see Evans et al 2018). The development of the Galilee Basin Hydrogeological Model represented an ambitious, first-pass attempt to better understand potential regional-scale cumulative groundwater impacts of seven proposed coal mines in the Galilee Basin (as known circa 2014, see Lewis et al. 2014 for details). This work was commissioned as part of the bioregional assessment for the Galilee subregion (https://www.bioregionalassessments.gov.au/assessments/galilee-subregion). Geoscience Australia has made the flow model and associated datasets available to support further academic or research investigations within the region. Importantly though, due to a number of limitations and assumptions (outlined in the final model report, Turvey et al., 2015), the model is not suitable for decision-making in relation to water resource planning or management. Further, the model was not developed to predict potential groundwater impacts of any individual mining operations, but provides a regional cumulative development perspective. The groundwater model and associated report were produced by HydroSimulations under short-term contract to Geoscience Australia in 2015. The report is referenced in several products released as part of the bioregional assessment (BA) for the Galilee subregion. However, due to the size, complexity and limitations of this model, this model was not used as the primary groundwater modelling input for the Galilee BA. Further detail about the key modelling limitations and why it was unsuitable for use in the Galilee BA are outlined in the BA Groundwater modelling report (Peeters et al., 2018). References Evans T, Kellett J, Ransley T, Harris-Pascal C, Radke B, Cassel R, Karim F, Hostetler S, Galinec V, Dehelean A, Caruana L and Kilgour P (2018) Observations analysis, statistical analysis and interpolation for the Galilee subregion. Product 2.1-2.2 for the Galilee subregion from the Lake Eyre Basin Bioregional Assessment. Department of the Environment and Energy, Bureau of Meteorology, CSIRO and Geoscience Australia, Australia. http://data.bioregionalassessments.gov.au/product/LEB/GAL/2.1-2.2. Lewis S, Cassel R and Galinec V (2014) Coal and coal seam gas resource assessment for the Galilee subregion. Product 1.2 for the Galilee subregion from the Lake Eyre Basin Bioregional Assessment. Department of the Environment, Bureau of Meteorology, CSIRO and Geoscience Australia, Australia. https://www.bioregionalassessments.gov.au/assessments/12-resource-assessment-galilee-subregion. Peeters L, Ransley T, Turnadge C, Kellett J, Harris-Pascal C, Kilgour P and Evans T (2018) Groundwater numerical modelling for the Galilee subregion. Product 2.6.2 for the Galilee subregion from the Lake Eyre Basin Bioregional Assessment. Department of the Environment and Energy, Bureau of Meteorology, CSIRO and Geoscience Australia, Australia. http://data.bioregionalassessments.gov.au/product/LEB/GAL/2.6.2. Turvey C, Skorulis A, Minchin W, Merrick NP and Merrick DP (2015) Galilee Basin hydrogeological model Milestone 3 report for Geoscience Australia. Prepared by Heritage Computing Pty Ltd trading as Hydrosimulations. Document dated 16 November 2015. http://www.bioregionalassessments.gov.au/sites/default/files/galilee-basin-hydrological-model-pdf.pdf. <b>The model is available on request from clientservices@ga.gov.au - Quote eCat# 146155</b>

X3D Model and Visualisation of the Hydrostratigraphic System in the Hodgson and Kings Creek Sub-Catchments

The depth to Proterozoic basement surface was constructed in order to delineate the thickness of Phanerozoic and more recent cover material. The "basement" refers to the Neoproterozoic and older rocks underlying the Canning Basin. The 3D surface was constructed using GoCad software and constrained by drill-hole data, Euler depth solutions and forward modelling using magnetic data, and interpreted depths from three seismic lines crossing the Waukalycarly Embayment. The depth to basement surface should be used as a guide. With the exception of the drill-hole data, there are uncertainties involved in estimating the depths based on the magnetic methods (Euler depth solutions and forward modelling), as well as the seismic data.

As part of Geoscience Australia’s Exploring for the Future Program, Broadband and Audio Magnetotelluric (MT) data were acquired at 131 stations in the East Tennant region, Northern Territory, in 2019. This survey aimed to characterise major crustal structures, to map cover thickness to assist in stratigraphic drill targeting, and to help understand mineral potential in the region. The data package was released in December 2019 (http://dx.doi.org/10.26186/5df80d8615367) and the 3D resistivity model was released in March 2020 (https://pid.geoscience.gov.au/dataset/ga/135011). We applied a probabilistic approach to inverting high-frequency MT data for cover thickness estimation using the 1D Rj-McMCMT code, newly developed in Geoscience Australia. The inversion employs multiple Markov chains in parallel to generate an ensemble of millions of resistivity models that adequately fit the data given the assigned noise levels. The algorithm uses trans-dimensional Markov chain Monte Carlo techniques to solve for a probabilistic resistivity-depth model. Once the ensemble of models is generated, its statistics are analysed to assess the posterior probability distribution of the resistivity at any particular depth, as well as the number of layers and the depths of the interfaces. This stochastic approach gives a thorough exploration of the model space and a more robust estimation of uncertainty than deterministic methods allow. This release package includes the results of probabilistic inversion of Audio Magnetotelluric data at the 131 stations. They can be used to estimate cover thickness for drill site planning, and to map the base of geological basins in the region. Model data files are large, but can be made available on request to clientservices@ga.gov.au.

This release comprises the 3D geological model of the Yilgarn-Officer-Musgrave (YOM) region, Western Australia, as Gocad voxets and surfaces. The YOM 3D geological model was built to highlight the broad-scale crustal architecture of the region and extends down to 60 km depth.

The project modelled the tsunami inundation to selected sites in South East Tasmania based on a Mw 8.7 earthquake on the Puysegur Trench occurring at Mean Sea Level. As yet, there is no knowledge of the return period for this event. The project was done in collaboration with Tasmania State Emergency Services as part of a broader project that investigated tsunami history through palaeotsunami investigations. The intent was to build the capability of staff within Tasmania Government to undertake the modelling themselves. Formal modelling of the tsunami inundation occurred through national project funding.

<p>The footprint of a mineral system is potentially detectable at a variety of scales, from the ore deposit to the Earth’s crust and lithosphere. In order to map these systems, Geoscience Australia has undertaken a series of integrated studies to identify key regions of mineral potential using new data from the Exploring for the Future program together with legacy datasets. <p>The recently acquired long-period magnetotellurics (MT) data under the national-scale AusLAMP project mapped a lithospheric scale electrical conductivity anomaly to the east of Tennant Creek. This deep anomaly may represent a potential source region for mineral systems in the crust. In order to refine the geometry of this anomaly, high-resolution broadband and audio MT data were acquired at 131 stations in the East Tennant region and were released in Dec 2019 (http://dx.doi.org/10.26186/5df80d8615367). We have used these high-resolution MT data to produce a new 3D conductivity model to investigate crustal architecture and to link to mineral potential. The model revealed two prominent conductors in the resistive host, whose combined responses link to the deeper lithospheric-scale conductivity anomaly mapped in the broader AusLAMP model. The resistivity contrasts coincide with the major faults that have been interpreted from seismic reflection and potential field data. Most importantly, the conductive structures extend from the lower crust to near-surface, strongly suggesting that the major faults are deep penetrating structures that potentially act as pathways for transporting metalliferous fluids to the upper crust where they can form mineral deposits. Given the geological setting, these results suggest that the mineral prospectivity for iron oxide copper-gold deposits is enhanced in the vicinity of the major faults in the region. <p>This release package includes the 3D conductivity model produced using ModEM code in sGrid format and Geo-referenced depth slices in .tif format.

A 3D map of the Cooper Basin region has been produced over an area of 300 x 450 km to a depth of 20 km. The 3D map was constructed from 3D inversions of gravity data using geological data to constrain the inversions. It delineates regions of low density within the basement of the Cooper/Eromanga Basins that are inferred to be granitic bodies. This interpretation is supported by a spatial correlation between the modelled bodies and known granite occurrences. The 3D map, which also delineates the 3D geometries of the Cooper and Eromanga Basins, therefore incorporates both potential heat sources and thermally insulating cover, key elements in locating a geothermal play. This study was conducted as part of Geoscience Australia's Onshore Energy Security Program, Geothermal Energy Project.

An ontology to allow AusPIX objects to be linked into Loc-I, AusPIX, and other workflows. Git repo at: https://github.com/GeoscienceAustralia/AusPIX-DGGS-ontology With the pyLode description at: https://raw.githack.com/GeoscienceAustralia/AusPIX-DGGS-ontology/master/auspix.html

This product is a rendered 3D model of one of the five ACT fossil emblem candidates, the brachiopod Atrypa duntroonensis. The format of the file is ply. or Polygon File Format, and it is designed to store 3D data. The model requires no post-scanning manipulation as it is already complete. The purpose of this is to make this file format publicly available to local school communities so they can 3D print the fossil emblems themselves and engage students with Earth science related topics. <b>Acknowledgement:</b> Computed Tomography (CT) Scans and models generated at <a href="https://ctlab.anu.edu.au/">CTLab</a> - National Laboratory for X-Ray Micro Computed Tomography, Research School of Physics, The Australian National University (ANU), Canberra.