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  • The 2017 Fowler Domain and Western Gawler Craton SkyTEM312 AEM Survey was conducted by Geoscience Australia as part of a collaborative project between the Commonwealth of Australia (Geoscience Australia) and its partner the State of South Australia (Department of State Development: Geological Survey of South Australia). Geoscience Australia contracted SkyTEM Australia Pty Ltd to acquire 312M SkyTEM (Interleaved Low Moment and High Moment) AEM data over the Fowler Domain and Western Gawler Craton in South Australia. The raw (binary) data were processed by SkyTEM Aps Denmark, SkyTEM Australia Pty Ltd’s proprietary software.The survey area consists of 4941 line km of time-domain AEM geophysical data acquired in a single survey block located to the east of Ooldea, SA. The traverse lines were flown in a NW - SE orientation with line spacing of 2500 and 5000m. The data have been inverted with the AarhusInv Program using the Aarhus Workbench LCI algorithm. The data release package includes: - Point-located Low Moment & High Moment dB/dt electromagnetic data with associated position, altimeter, orientation, and derived ground elevation data. These data are in ASCII column format with associated ASEG-GDF2 header files. - Point-located conductivity data derived from the inversion of the observed data with the AarhusInv Program using the Aarhus Workbench LCI algorithm. - Gridded data (600m cell size) in ER Mapper® binary raster grid format with associated header files for the conductivity depth slices derived from the Aarhus Workbench LCI data, with and without depth of investigation (DOI) masking. - Gridded magnetics and elevation data in ER Mapper® binary raster grid format with associated header files. - Graphical multiplots, in PNG format, for each flight line showing Aarhus Workbench LCI model sections (with DOI mask line) with profiles of the Low & High moment Z component dB/dt data and the model fit residual. - Contractor supplied Operations Report. - ESRI shapefiles of the flight lines.- Metadata and License files.

  • Seismic data, calibration and State of Health files. 2005-2007

  • This record contains processed and topographically corrected Ground Penetrating Radar (GPR) data (.segy, .bmp), and a summary shapefile collected on fieldwork at Adelaide Metropolitan Beaches, South Australia for the Bushfire and Natural Hazards CRC Project, Resilience to Clustered Disaster Events on the Coast - Storm Surge. The data was collected from 16-19 February 2015 using a MALA ProEx GPR system with a 250 MHz shielded antennae. The aim of the field work was to identify and define a minimum thickness for the beach and dune systems, and where possible depth to any identifiable competent substrate (e.g. bedrock) or pre-Holocene surface which may influence the erosion potential of incident wave energy. Surface elevation data was co-acquired and used to topographically correct the GPR profiles. This dataset is published with the permission of the CEO, Geoscience Australia.

  • Seismic data form South Australian Network. Stations: ADE, ALV2, DNL, FR27, GHS, GHSS, GLN, GLN2, HML1, HML2, HTT, KNC, MRAT, MYP, NBK, PLMR, SDAN, STR2, TORR, UT, UTT. Date range,2006-2017, not definitive. Some logs files.

  • This record contains the raw Ground Penetrating Radar (GPR) data and scanned field notes collected on fieldwork at Adelaide Metropolitan Beaches, South Australia for the Bushfire and Natural Hazards CRC Project, Resilience to Clustered Disaster Events on the Coast - Storm Surge. The data was collected from 16-19 February 2015 using a MALA ProEx GPR system with 250 MHz shielded, 100 MHz unshielded and 50 MHz unshielded antennaes. The aim of the field work was to identify and define a minimum thickness for the beach and dune systems, and where possible depth to any identifiable competent substrate (e.g. bedrock) or pre-Holocene surface which may influence the erosion potential of incident wave energy. Surface elevation data was co-acquired and used to topographically correct the GPR profiles. This dataset is published with the permission of the CEO, Geoscience Australia.

  • Scanned enquires and insurance claims requesting information about South Australian Earthquake or Seismic data for teleseismic events. 1959-1987

  • This GA Record report is one of a series of 4 reports undertaken by the GA Groundwater Group under the National Collaboration Framework Project Agreement with the Office of Water Science (in the Department of the Environment). The report was originally submitted to the OWS in July 2013, and subsequently reviewed by the SA government. The St Vincent Basin in South Australia is a priority coal-bearing sedimentary basin that is not currently slated for initial Bioregional Assessment.

  • Seismic Station ADE Teleseismic times charts. 2002-2008

  • The Cooper Basin is Australia's premier onshore hydrocarbon producing province and hosts a range of conventional and unconventional gas play types. This study investigates the petroleum generation potential of the basin's major Permian source rocks, to improve regional understanding of the basin's hydrocarbon prospectivity. Source rock distribution, thickness, present-day amount of total organic carbon (TOC), quality (Hydrogen Index) and maturity were mapped across the basin, together with original source quality maps prior to the on-set of generation. Results of the source rock property mapping and basin-specific kinetics were integrated with 1D burial and thermal history models and a 3D basin model to create a regional pseudo-3D petroleum system model for the basin. The modelling outputs quantify the spatial distribution of both the maximum possible hydrocarbon yield, as well as the oil/ gas expelled and retained, for ten Permian source rocks. Monte Carlo simulations were used to quantify the uncertainty associated with hydrocarbon yields and to highlight the sensitivity of results to each input parameter. The principal source rocks are the Permian coal and coaly shales of the Gidgealpa Group, with highest potential yields from the Patchawarra Formation coals and coaly shales. The broad extent of the Cooper Basin's Permian source kitchen and its large total generation potential (P50 scenario >2000 bboe) highlights the basin¿s significance as a world-class hydrocarbon province. The difference between the P90 (~800 bboe) and P10 (>4000 bboe) scenarios demonstrate the range of uncertainties inherent in this modelling.

  • <b>This data package is superseded by a second iteration presenting updates on 3D geological and hydrogeological surfaces across eastern Australia that can be accessed through </b><a href="https://dx.doi.org/10.26186/148552">https://dx.doi.org/10.26186/148552</a> The Australian Government, through the National Water Infrastructure Fund – Expansion, commissioned Geoscience Australia to undertake the project ‘Assessing the Status of Groundwater in the Great Artesian Basin’ (GAB). The project commenced in July 2019 and will finish in June 2022, with an aim to develop and evaluate new tools and techniques to assess the status of GAB groundwater systems in support of responsible management of basin water resources. While our hydrogeological conceptual understanding of the GAB continues to grow, in many places we are still reliant on legacy data and knowledge from the 1970s. Additional information provided by recent studies in various parts of the GAB highlights the level of complexity and spatial variability in hydrostratigraphic units across the basin. We now recognise the need to link these regional studies to map such geological complexity in a consistent, basin-wide hydrostratigraphic framework that can support effective long-term management of GAB water resources. Geological unit markers have been compiled and geological surfaces associated with lithostratigraphic units have been correlated across the GAB to update and refine the associated hydrogeological surfaces. Recent studies in the Surat Basin in Queensland and the Eromanga Basin in South Australia are integrated with investigations from other regions within the GAB. These bodies of work present an opportunity to link regional studies and develop a revised, internally consistent geological framework to map geological complexity across the GAB. Legacy borehole data from various sources, seismic and airborne electromagnetic (AEM) data were compiled, then combined and analysed in a common 3D domain. Correlation of interpreted geological units and stratigraphic markers from these various data sets are classified using a consistent nomenclature. This nomenclature uses geological unit subdivisions applied in the Surat Cumulative Management Area (OGIA (Office of Groundwater Impact Assessment), 2019) to correlate time equivalent regional hydrogeological units. Herein we provide an update of the surface extents and thicknesses for key hydrogeological units, reconciling geology across borders and providing the basis for a consistent hydrogeological framework at a basin-wide scale. The new surfaces can be used for facilitating an integrated basin systems assessment to improve our understanding of potential impacts from exploitation of sub-surface resources (e.g., extractive industries, agriculture and injection of large volumes of CO2 into the sub-surface) in the GAB and providing a basis for more robust water balance estimates. This report is associated with a data package including (Appendix A – Supplementary material): • Nineteen geological and hydrogeological surfaces from the Base Permo-Carboniferous, Top Permian, Base Jurassic, Base Cenozoic to the surface (Table 2.1), • Twenty-one geological and hydrogeological unit thickness maps from the top crystalline basement to the surface (Figure 3.7 to Figure 3.27), • The formation picks and constraining data points (i.e., from boreholes, seismic, AEM and outcrops) compiled and used for gridding each surface (Table 3.8).