<div>As part of the EFTF Program, Geoscience has completed a 4-year multi-disciplinary study to investigate the energy resource potential of selected onshore basins within central Australia under the Australia’s Future Energy Resources (AFER) Project. A key component of the AFER Project has been a qualitative and quantitative play-based assessment of hydrocarbon resources and geological storage of CO2 (GSC) potential within the Pedirka and western Eromanga basins (Bradshaw et al., 2024a). This study has provided a regional interpretive data set which includes regional seismic and well log interpretations (Bradshaw et al.&nbsp;2024b, 2024c); depth-structure and isochore maps for 14 play intervals (Iwanec et al., 2024); gross-depositional environment maps for 14 play intervals (Bradshaw et al., 2024c); and petrophysical analysis of wireline log data from 23 wells (Spicer et al., 2024). This report provides a high-level summary of the hydrogeology of Pedirka and western Eromanga basins as background information for the other assessments and some findings from the 3D models that may inform future understanding of the hydrogeology of these basins. </div><div><br></div><div>The assessment area extends over ~210,000 km2 across the Northern Territory, South Australia and Queensland (Figure 1). Much of the assessment area underlies national parks in South Australia and Queensland. No petroleum exploration access is allowed in the Munga Thirri Simpson Desert Conservation Park or the Witjira National Park (Dalhousie Springs area) in South Australia or Munga Thirri National Park in Queensland (Figure 1).</div><div><br></div><div>The AFER assessment area is situated within the Kati Thanda-Lake Eyre surface water catchment. The catchment’s arid climate and ephemeral river flow regime (Evans et al., 2024) makes groundwater a critical source of water for the environment, industry and communities, especially during dry periods. Groundwater dependent features in the region include water supplies for communities, industry and pastoral stations, as well as springs and other groundwater dependent ecosystems. Groundwater resources are managed by state and territory jurisdictions (see: NT Government, 2013; Queensland Government, 2017, SA Government, 2021). Across the three jurisdictions, the most important groundwater resources are those of the western Eromanga Basin (a part of Great Artesian Basin or GAB). In collaboration with state jurisdictions the Commonwealth provides a cross-jurisdictional policy framework for the GAB as well as the Lake Eyre surface water basin (DCCEEW, 2024). Key management goals include maintaining artesian pressures, water quality and viability of GAB dependent ecosystems, including springs.&nbsp;</div><div><br></div><div><br></div><div><br></div>

<div>The Groundwater Dependent Ecosystem (GDE) Atlas (Bureau of Meteorology, 2019) is a well-known national product that has been utilised for a wide range of applications including environmental impact statements, water planning and research. A complementary GDE dataset, Groundwater Dependent Waterbodies (GDW), has been produced from Digital Earth Australia (DEA) national data products. This new GDW ArcGIS dataset is spatially aligned with Landsat satellite-derived products, enabling ready integration with other spatial data to map and characterise GDEs across the continent.</div><div><br></div><div>The DEA Water Observations Multi Year Statistics (Mueller et al. 2016; DEA 2019) and the DEA Waterbodies (version 2) data product (Kraus et al., 2021; DEA Waterbodies, 2022) have been combined with the national GDE Atlas to produce the GDW dataset which delineates surface waterbodies that are known and/or high potential aquatic GDEs. The potential of a GDE relates to the confidence that the mapped feature is a GDE, where known GDEs have been mapped from regional studies and high potential GDEs identified from regional or national studies (Nation et al., 2017). The GDW dataset are aquatic GDE waterbodies, including springs, rivers, lakes and wetlands, which rely on a surface expression of groundwater to meet some or all of their water requirements. </div><div><br></div><div>The DEA Water Observation Multi Year Statistics, based on Collection 3 Landsat satellite imagery, shows the percentage of wet observations in the landscape relative to the total number of clear observations since 1986. DEA Waterbodies identifies the locations of waterbodies across Australia that are present for greater than 10% of the time and are larger than 2700m2 (3 Landsat pixels) in size. These waterbodies include GDEs and non-GDEs (e.g. surface water features not reliant on groundwater, such as dams). Where known/high potential GDEs in the GDE Atlas intersected a DEA waterbody, the entire waterbody polygon was assigned as a potential GDW, resulting in 55,799 waterbodies in the GDW dataset. Conversely, any GDEs not classified as known/high potential GDEs in the Atlas, due to a lack of data, are not included in the GDW product. Even though this method should remove dams from the GDW dataset (assuming they have been assigned appropriately in the GDE Atlas), due to spatial misalignment some may still be included that are not potential GDEs. Furthermore, surface water features that are too small to be detected by Landsat satellite data will be excluded from the GDW dataset.</div><div><br></div><div>The GDW polygons were attributed with the spatial summary of maximum, median, mean and minimum percentages for pixels within each GDW, derived from the DEA Water Observation Multi Year Statistics i.e. maximum/minimum pixel value or median/mean across all pixels in the GDW. This attribute enables comparison between GDWs of the proportion of time they have surface water observed. An additional attribute was added to the GDW dataset to indicate amount of overlap between waterbodies and aquatic GDEs in the GDE Atlas.&nbsp;</div><div><br></div><div>An ESRI dataset, AquaticGDW.gdb, and a variety of national ArcGIS layer files have been produced using the spatial summary statistics in the GDW dataset.</div><div>These provide a first-pass representation of known/high potential aquatic GDEs and their surface water persistence, derived consistently from Landsat satellite imagery across Australia.</div><div><br></div><div><strong>References:</strong></div><div> </div><div>Bureau of Meteorology, 2019. <em>Groundwater Dependent Ecosystems Atlas</em>. http://www.bom.gov.au/water/groundwater/gde/index.shtml </div><div>&nbsp;</div><div>DEA Water Observations Statistics, 2019. https://cmi.ga.gov.au/data-products/dea/686/dea-water-observations-statistics-landsat</div><div><br></div><div>DEA Waterbodies, 2022. https://www.dea.ga.gov.au/products/dea-waterbodies</div><div><br></div><div>Krause, C.E., Newey, V., Alger, M.J., and Lymburner, L., 2021. Mapping and Monitoring the Multi-Decadal Dynamics of Australia’s Open Waterbodies Using Landsat, <em>Remote Sensing</em>, 13(8), 1437. https://doi.org/10.3390/rs13081437</div><div><br></div><div>Mueller, N., Lewis, A., Roberts, D., Ring, S., Melrose, R., Sixsmith, J., Lymburner, L., McIntyre, A., Tan, P., Curnow, S. and Ip, A., 2016. Water observations from space: Mapping surface water from 25 years of Landsat imagery across Australia. <em>Remote Sensing of Environment</em>, 174, 341-352, ISSN 0034-4257.</div><div><br></div><div>Nation, E.R., Elsum, L., Glanville, K., Carrara, E. and Elmahdi, A., 2017. Updating the Atlas of Groundwater Dependent Ecosystems in response to user demand, 22nd International Congress on Modelling and Simulation, Hobart, Tasmania, mssanz.org.au/modsim2017</div>

<div>This data package contains interpretations of airborne electromagnetic (AEM) conductivity sections in the Exploring for the Future (EFTF) program’s Eastern Resources Corridor (ERC) study area, in south eastern Australia. Conductivity sections from 3 AEM surveys were interpreted to provide a continuous interpretation across the study area – the EFTF AusAEM ERC (Ley-Cooper, 2021), the Frome Embayment TEMPEST (Costelloe et al., 2012) and the MinEx CRC Mundi (Brodie, 2021) AEM surveys. Selected lines from the Frome Embayment TEMPEST and MinEx CRC Mundi surveys were chosen for interpretation to align with the 20&nbsp;km line-spaced EFTF AusAEM ERC survey (Figure 1).</div><div>The aim of this study was to interpret the AEM conductivity sections to develop a regional understanding of the near-surface stratigraphy and structural architecture. To ensure that the interpretations took into account the local geological features, the AEM conductivity sections were integrated and interpreted with other geological and geophysical datasets, such as boreholes, potential fields, surface and basement geology maps, and seismic interpretations. This approach provides a near-surface fundamental regional geological framework to support more detailed investigations. </div><div>This study interpreted between the ground surface and 500&nbsp;m depth along almost 30,000 line kilometres of nominally 20&nbsp;km line-spaced AEM conductivity sections, across an area of approximately 550,000&nbsp;km2. These interpretations delineate the geo-electrical features that correspond to major chronostratigraphic boundaries, and capture detailed stratigraphic information associated with these boundaries. These interpretations produced approximately 170,000 depth estimate points or approximately 9,100 3D line segments, each attributed with high-quality geometric, stratigraphic, and ancillary data. The depth estimate points are formatted for compliance with Geoscience Australia’s (GA) Estimates of Geological and Geophysical Surfaces (EGGS) database, the national repository for standardised depth estimate points. </div><div>Results from these interpretations provided support to stratigraphic drillhole targeting, as part of the Delamerian Margins NSW National Drilling Initiative campaign, a collaboration between GA’s EFTF program, the MinEx CRC National Drilling Initiative and the Geological Survey of New South Wales. The interpretations have applications in a wide range of disciplines, such as mineral, energy and groundwater resource exploration, environmental management, subsurface mapping, tectonic evolution studies, and cover thickness, prospectivity, and economic modelling. It is anticipated that these interpretations will benefit government, industry and academia with interest in the geology of the ERC region.</div>

<div>Groundwater is a finite and largely hidden resource. Enhancing scientific understanding of groundwater systems improves decisions about its planning, allocation and use. This benefits all Australians through improved water management.</div><div>Australia’s groundwater resources underpin billions of dollars of economic activity, provide safe and reliable drinking water for millions of people, and sustain life and cultural values across the country. Sustainably managing our critical groundwater resources is vital to improving water security and protecting the environment.</div><div>Geoscience Australia and the Commonwealth Scientific and Industrial Research Organisation (CSIRO) collaborate on initiatives funded by the Australian Government. We work together to deliver innovative solutions to nationally significant issues affecting Australia’s groundwater resources.</div><div>With world‑class expertise and facilities, we are at the forefront of groundwater science. Our combined hydrogeological capabilities are best applied to regional and national-scale challenges that extend beyond the remit of individual jurisdictions or private industry.</div><div>This publication highlights the scientific approaches, technologies, and methods that we apply to better understand and characterise Australia’s groundwater and includes case studies that demonstrate the unique value of our collaboration.</div><div><br></div>

<div>Cooper Creek is a dryland river system that extends from the western Great Dividing Range in Central Queensland to Lake Eyre in South Australia. The middle course of the Cooper Creek is characterised by anabranching river channels across a wide floodplain that flow intermittently due to monsoonal flooding event higher in the catchment. As floodwaters recede, freshwater stagnates within numerous deeper segments of river channels forming ‘waterholes’ which support ecosystems with significant ecological and cultural value. However, there is little evidence that shallow groundwater discharges into these surface water bodies and the link between surface water and groundwater is not well understood. This study aims to demonstrate how airborne electromagnetics (AEM) and other geoscientific data can be integrated to identify recharge within shallow saline groundwater systems, which are so common in arid inland Australia.</div><div> The regional water table underneath the floodplain is shallow (<10m) and highly saline (>38,000 TDS), with a chemical signature suggesting salts were concentrated by evapotranspiration. Surface swelling clays likely limits the amount of recharge that occurs through the floodplain itself. However, a detailed study by Cendón et al (2010) found that during high flow events, floodwater scoured the base of the waterholes allowing freshwater to recharges into the shallow groundwater system forming chemically distinct freshwater lenses.</div><div> AEM is a geophysical technique capable of estimating bulk conductivity for the top few hundred metres of the subsurface. Part of the AusAEM Eastern Resource Corridor survey (Ley-Cooper 2021) crossed the Cooper Creek floodplain with a 20km line spacing. The bulk conductivity models delivered as part of this survey resolved the top of the saline water table regionally. In several locations, we identified resistive lenses sitting on the shallow water table which coincide with river channels that are frequently inundated.</div><div><br></div><div>Cendón, D.I., Larsen, J.R., Jones, B.G., Nanson, G.C., Rickleman, D., Hankin, S.I., Pueyo, J.J. and Maroulis, J., 2010. Freshwater recharge into a shallow saline groundwater system, Cooper Creek floodplain, Queensland, Australia.&nbsp;<em>Journal of Hydrology</em>,&nbsp;<em>392</em>(3-4), pp.150-163.</div><div>LeyCooper, Y. 2021. Exploring for the Future AusAEM Eastern Resources Corridor: 2021 Airborne Electromagnetic Survey TEMPEST® airborne electromagnetic data and GALEI inversion conductivity estimates. Geoscience Australia, Canberra.</div> This Abstract was submitted/presented to the 2022 Australasian Groundwater Conference 21-23 November (https://www.aig.org.au/events/australasian-groundwater-conference-2022/)

<div>The Darling River is the primary water source for communities on the Upper Darling River Floodplain (UDF) in arid northwest New South Wales. A 70% reduction in mean annual flow down the Darling over the past 80 years, due to droughts and over-extraction, has resulted in critical water shortages and water quality issues for communities and ecosystems. Presently there is a limited understanding of the spatial extent and controls on the occurrence of lower salinity groundwater within the surrounding Darling Alluvium; a possible&nbsp;alternative water source that is also important to groundwater-dependent ecosystems.</div><div>&nbsp;</div><div>The UDF project, part of the Australian Government’s Exploring for the Future program is working in collaboration with State partners to collect and integrate new data with existing hydrogeological knowledge. The project aims to improve the hydrogeological understanding of the region to help inform water management decisions and increase water security. A key focus of the project is the Darling Alluvium (DA)—a closed regional groundwater system comprising unconsolidated Cenozoic sediments deposited primarily by the paleo and current Darling River systems and their tributaries. Connectivity with aquifers of varying quality, within the underlying Murray and Great Artesian Basins, is also being investigated. </div><div>&nbsp;</div><div>Integration of airborne electromagnetic (AEM), hydrometric and hydrochemical data with lithology logs and geological maps has revealed a broad trend in groundwater–surface water dynamics. In the upper reaches of the floodplain systems appear to be disconnected, while in the lower reaches losing stream conditions prevail. In the losing stream setting, resistive AEM signatures, at depths of up to 60 m below ground level and extending laterally for several hundred metres from the river, indicate a hydraulic gradient away from the river. Low salinity groundwater measured in shallow bores suggest the potential for a significant quality groundwater resource. Further investigations will improve confidence in the geometry of fresh water zones, recharge rates, connectivity with underlying saline aquifers and relationships with groundwater-dependent ecosystems.&nbsp;</div><div><br></div>This Abstract was submitted/presented to the 2022 Australasian Groundwater Conference 21-23 November (https://www.aig.org.au/events/australasian-groundwater-conference-2022/)

<div>Understanding groundwater flow dynamics within the Great Artesian Basin (GAB) is critical for responsible management of groundwater from an environmental, economic and cultural perspective. Numerical groundwater flow modelling involves generating a simplified representation of a groundwater system and using Darcy’s Law to simulate groundwater flow rates and the distribution of hydraulic heads throughout the system. This is a pilot study aimed at developing a workflow for groundwater flow modelling of the Great Artesian Basin using Bayesian methods. In this report, we present our initial results from building and running a steady-state groundwater flow model of the entire GAB. We demonstrate a Bayesian inference framework to generate an ensemble of groundwater flow models allowing an assessment of the uncertainty of model parameters and flow velocities.&nbsp;</div><div>Several models have been built to simulate groundwater flow across various areas and layers of the GAB. Most of these models aimed to predict the likely impacts on the groundwater system of some future scenario, generally climate change or groundwater extraction relating to mining activities. While these models are well-suited to their purpose, their focus on particular regions or aquifers makes them unsuitable for investigating large-scale groundwater flow throughout the GAB. In contrast, the model built as part of this study captures the entire GAB and aims to simulate large-scale flow. Although not in scope for this pilot study, the questions a model at this scale is capable of addressing include characterising 3D flow within hydrogeological layers, computing groundwater flux between aquifers and between sub-basins, inferring hydraulic properties and identifying poor quality data. As this model is steady-state and uses hydraulic head data from before the year 2000, it provides a baseline estimate of groundwater flow without considering recent anthropogenic forcing or transient system stresses.&nbsp;</div><div>The GAB is represented as a 14 hydrogeological layer model including basement, Permo-Carboniferous basins, Mesozoic sedimentary aquifers and aquitards and Cenozoic layers. This includes updated hydrogeological surfaces from the GAB project. The input data consisted of 8,065 hydraulic head measurements and 6,151 estimates of recharge rate while the model parameters were a single hydraulic conductivity value for each of the 14 layers. The modelling domain was discretised using 10 x 10 km cells in the horizontal plane and the mesh was deformed vertically to fit between the topography and the basement surface, with the resulting mesh having a vertical discretisation of no coarser than 50 metres. The top boundary condition was a constant head boundary that was a smoothed version of topography. The sides and bottom of the model have no flux boundary conditions and a buffer zone around the GAB was included to minimise boundary effects.&nbsp;&nbsp;</div><div>In total 2500 groundwater flow simulations were run using a Bayesian inversion framework. The inversion sampled various combinations of input parameters to find models with a relatively low misfit, which was calculated by squaring the difference between the observed and simulated values of hydraulic head and recharge. Rather than searching for a global minima, the Metropolis Hastings Markov Chain Monte Carlo sampling algorithm was used to explore a range of possible models and estimate the posterior distribution of each layer’s hydraulic conductivity.&nbsp;</div><div>The model performed adequately and the model parameters were generally consistent with the prior probability distributions based on previous modelling studies. However, the posterior distribution of model parameters were very broad indicating the model was not particularly informative in its current form.&nbsp;&nbsp;</div><div>Groundwater flow velocity vectors from the maximum likelihood model were used to investigate groundwater trends within the Cadna-owie-Hooray aquifer. Uncertainty of model predictions were investigated by calculating the groundwater flow velocity variance across the ensemble. This study demonstrates that it is technically feasible to use Bayesian inference to probabilistically mode groundwater flow across the entire GAB. However, for this approach to yield useful results, more work is required to understand the impacts of simplifying assumptions about layer properties, the quality of the input data and model structure on the resulting flow model.&nbsp;</div><div><br></div>

<div>This document describes a series of experiments that grow student understanding of the concepts on porosity and permeability as it relates to groundwater. Sediments are used to substitute for sedimentary rocks and water movement through different types of sediment is evaluated. The document is split into two sections, background information for teachers and a 3 part experiment with activity sheet for students. The activities are suitable for use with secondary to senior secondary science and geography students.</div>

<div>The interpretation of AusAEM airborne electromagnetic (AEM) survey conductivity sections in the Canning Basin region delineates the geo-electrical features that correspond to major chronostratigraphic boundaries, and captures detailed stratigraphic information associated with these boundaries. This interpretation forms part of an assessment of the underground hydrogen storage potential of salt features in the Canning Basin region based on integration and interpretation of AEM and other geological and geophysical datasets. A main aim of this work was to interpret the AEM to develop a regional understanding of the near-surface stratigraphy and structural geology. This regional geological framework was complimented by the identification and assessment of possible near-surface salt-related structures, as underground salt bodies have been identified as potential underground hydrogen storage sites. This study interpreted over 20,000 line kilometres of 20&nbsp;km nominally line-spaced AusAEM conductivity sections, covering an area approximately 450,000 km2 to a depth of approximately 500&nbsp;m in northwest Western Australia. These conductivity sections were integrated and interpreted with other geological and geophysical datasets, such as boreholes, potential fields, surface and basement geology maps, and seismic interpretations. This interpretation produced approximately 110,000 depth estimate points or 4,000 3D line segments, each attributed with high-quality geometric, stratigraphic, and ancillary data. The depth estimate points are formatted for Geoscience Australia’s Estimates of Geological and Geophysical Surfaces database, the national repository for formatted depth estimate points. Despite these interpretations being collected to support exploration of salt features for hydrogen storage, they are also intended for use in a wide range of other disciplines, such as mineral, energy and groundwater resource exploration, environmental management, subsurface mapping, tectonic evolution studies, and cover thickness, prospectivity, and economic modelling. Therefore, these interpretations will benefit government, industry and academia interested in the geology of the Canning Basin region.</div>

This was the third of five presentations held on 31 July 2023 as part of the National Groundwater Systems Workshop - WaMSTeC: Water Monitoring and Standardisation Technical Committee National Industry Guidelines for hydrometric monitoring WaMSTeC GUIDELINE REVISIONS UPDATE FOR GROUNDWATER COMPONENTS: GROUNDWATER SUBCOMMITTEE