Contains Events, arrivals, locations and other eqfocus results tables, for the South Australian Government Seismic Network

Logs and Calibrations of Seismic stations. 2005-2017

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

Site data, including local contact names, addresses and phone numbers. 2002-2004

ARKL State of Health log. 25/01/16 to 07/03/16. Plus 30/01/2017 to 02/02/2017

Calibration files and individual problems with South Australian Government stations. 2007-2016

<p>The current coexistence framework for the Woomera Prohibited Area (WPA) was established in 2014; it seeks to balance the interests of all users in the Area. Under this framework, the Department of Defence is the primary user of the WPA for the testing of weaponry and related war materiels. Access to the WPA by a range of non-Defence users, including Aboriginal groups, the resources sector, pastoralists and tourists, is also provided for. The coexistence framework is being reviewed in August 2018. <p>As part of this 2018 WPA Review, Geoscience Australia, together with the Office of the Chief Economist, has undertaken the following tasks: <p>• Updated the current understanding of the region’s geology; <p>• assessed the known Economic Demonstrated Resources (EDR) and potentially undiscovered mineral and petroleum resources (including critical commodities) and groundwater; <p>• documented resource exploration activities in the WPA; and <p>• provided an economic assessment of the known mineral resources and possible future mine developments in the WPA. <p>An assessment of the potential for undiscovered mineral and petroleum resources has been conducted by considering the results of Geoscience Australia’s 2010 WPA assessment and by updating those findings as far as practicable within the available time of the present Review. Overall, this assessment confirms the results of the 2010 assessment and shows that many parts of the WPA have moderate to high potential for the discovery of new mineral and petroleum resources. Analysis of new data by this 2018 assessment has also identified additional areas with potential for groundwater resources in the WPA. <p>There is high potential for the discovery of new deposits, similar to those already known, especially of copper, gold, silver, iron, titanium and zirconium and uranium. Some of these deposits may contain economic REE and other critical commodities. <p>Modelling of the economic impact of possible new mine developments was carried out for high-value commodities with high potential for discovery in the WPA. The commodities included in the possible future mine scenarios are gold, copper, silver, uranium, iron, titanium and zirconium. Two scenarios were modelled, conservative and optimistic. <p>The Net Present Value of Economic Demonstrated Resources in the WPA is estimated to be $5.9 billion. The Net Present Value of possible future mines in the WPA is estimated to be between $6.4 billion and $19 billion. Annual direct employment across the future possible mines ranges from 150 people to 1350 people per mine, with secondary employment between 70 people and 1250 people. Annual value add across the future possible mines ranges between $8 million per mine to $920 million per mine.

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.

Scanned felt reports from 1902, 1954-2010. One pdf per event.

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.