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GSQ Geoscience Open Data Portal

The Geological Survey of Queensland (GSQ) Open Data Portal has been created to unlock Queensland's geoscience data, attracting exploration and investment in the resources sector

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Quamby 3D Model
3D geological and geophysical modelling was used in conjunction with mineral potential modelling to assess unrealised Cu-Au potential in the Quamby area in the Eastern Succession of the Mount Isa Inlier. This report documents the process used by the Geological Survey of Queensland, including 3D modelling and geophysical inversion, to create a Common Earth Model for 3D mineral potential modelling over the Quamby Project area. The area is divided into three main geological domains - the Mary Kathleen, Constantine and Soldiers Cap Domains. The Quamby Project area contains the major operating Ernest Henry Cu-Au mine as well as other significant Cu-Au projects and is highly prospective for a range of mineralisation styles including Cu\xb1Au\xb1Fe deposits and stratabound sediment-hosted Cu deposits. Mesozoic and Cenozoic sediments cover more than 70% of the project area. Although interpreted cover depths are generally less than 150m, much of the area remains under-explored. A 3D geological model was created using GOCAD and SKUA software incorporating new interpretations from recent mapping by the Geological Survey of Queensland as well as drillhole and seismic data. This 3D model was used as a starting model to constrain potential field inversions yielding 3D physical property models The 3D physical property models show the distribution of the density and magnetic susceptibility properties within the topmost 2.5km of the crust within the project area. These property distributions can be used to directly assist exploration targeting and allow interpretation of the regional structural and geological setting. In particular the property models can be used to define structural breaks and alteration pathways. Literature reviews were undertaken over the major Cu-Au deposits within the Quamby Project area with relevant references collated into an appendix. Available information on mineralisation including depositional environment, fluid source and geophysical characteristics within both the Mary Kathleen and Constantine Domains \(the project area\xb4s two main prospective domains\) was used to create targeting criteria, called evidential properties, which were tested using a Weights-of-Evidence approach. A Common Earth Model was prepared containing the lithological and physical rock properties from the inversions and properties representing the identified targeting criteria for Au-Cu mineralisation. For the Weights-of-Evidence modelling the Common Earth Model also contains training cells, representing known mineral occurrence sites. The Weights-of-Evidence modelling method assesses the relationship between the identified evidential properties and the training cells. The evidential properties within the study area found to have a strong association with mineralisation include the geological complexity, distance to faults and fault curvature, geochemical anomalies and anomalous regions within the density and magnetic susceptibility models \(derived from the inversions\). 3D mineral potential models were created by combining the statistically significant evidential properties for each domain. The 3D mineral potential models represent the relative probability of each individual cell within the model hosting Cu-Au mineralisation. Mineral potential models were generated separately for the Mary Kathleen and Constantine Domains as the style of mineralisation and significant evidential properties were different in each domain. As well as highlighting locations of known mineralisation, the mineral potential models show extensions along trends and define high potential areas under shallow cover in previously unexplored regions.
Data Type
Dataset
Created
12 Jul 2020
Data Format
ZIP
Mt Dore 3D Model
3D Model created as part of the 2011 North West Queensland Mineral and Energy Province Report by Mira Geoscience. Geophysical modelling and 3D mineral potential mapping for Iron Oxide Copper Gold mineralisation over the Mt Dore region, Queensland. Report, 3D model GOCAD objects and a Geoscience Analyst project file of the 3D model constructed as part of the NWQMEP Report \(2011\) by Mira Geoscience and the Geological Survey of Queensland of the Mount Dore area. The model surfaces and Voxet are included in the Model Object folder. The Mt Dore 3D Model.iws file is a Geoscience Analyst project file. Geoscience ANALYST is free 3D visualization and communication software for integrated, multi-disciplinary earth models and data. The program can be downloaded from http://www.mirageoscience.com/our-products/software-product/geoscience-analyst
Data Type
Dataset
Created
12 Jul 2020
Data Format
ZIP
Queensland Petroleum Exploration Data-QPED
2017 Database extract containing geological, geophysical, and geochemical data relating to Queensland’s sedimentary basins derived from the drilling of petroleum wells, coal seam gas wells 'CSG', and stratigraphic bores. Data includes general well history, company and GSQ stratigraphy, drill stem tests, wireline logs, downhole temperatures, analytical data, biostratigraphy, and hydrocarbon indications. QPED is extracted from MERLIN, a geographic information system GIS, which involved the amalgamation of 4 Departmental Databases: the petroleum 'QERDB', coal 'QCOS', mineral 'TerraSearch Pty Ltd download' and water 'Groundwater Database'.
Data Type
Dataset
Created
12 Jul 2020
Data Format
ZIP

Creating the GSQ Open Data Portal

A cross-disciplinary team at the Department of Natural Resources, Mines and Energy, is working to provide valuable geoscience data to enable industry success.

Collaborating with explorers, academia, government representatives and research organisations to build the next generation of Australian digital exploration and mining tools.

GeoResGlobe provides an online interactive experience to view Queensland’s mining and exploration data.