This data package comprises the data used and developed for the Pacific Island Groundwater and Future Climates: First-Pass Regional Vulnerability Assessment project. The data contained included Original data sourced for the project, Final data produced by the project, MXD's of maps created, and scripts used within the project. Documentation from the project has been stored on TRIM at: Record Number P12/190.

Dataset of pre-release data suitable only for graphical representation of petroleum blocks defined under the OPGGSA2006. Block Product Description and Limitations document included. NOPTA.

When the PMDCRC project concluded at Geoscience Australia, some data was left unsorted. This directory contains that residual data. In 2001, a partnership was formed between Australia's mining industry and research community to examine the issues surrounding predictive mineral exploration in Australia. In the preceding decade, despite record levels of exploration, the discovery of high level deposits declined. The predictive mineral discovery Cooperative Research Centre (pmd *CRC ) began its work to find new methods of predicting where the mineral deposits lay. The research looked to create a fundamental shift in mineral exploration practice giving greater scope for larger finds at greatly reduced costs by developing a vastly improved understanding of mineralising processes and a four dimensional understanding of the evolution of the geology of mineralised terrains. Since its inception, research has been carried out by the CRC through innovative and effective programs and projects over a two stage process. This website will act as a major portal for the dissemination of research findings. As well it offers the mining industry, the education sector and the wider community information and access to experts in the field, case studies of successful programs, business opportunities and employment directions for young emerging students and researchers. The pmd *CRC formally ceased to exist on 30 June 2008

From 1995 to 2000 information from the federal and state governments was compiled for Comprehensive Regional Assessments (CRA), which formed the basis for Regional Forest Agreements (RFA) that identified areas for conservation to meet targets agreed by the Commonwealth Government with the United Nations. This CD was created as part of GA's contribution to the East Gippsland CRA. It contains final versions of all data coverages and shapefiles, AMLs and Graphics files in ArcInfo (.gra), postscript (.ps) and Web ready (.gif) formats, and final versions of documents, maps and figures submitted for publishing.

Dataset for the Northwest Shelf Release area contains biostratigraphic, reservoir facies, and organic geochemistry from wells in the release region.

The South Australia Geoscientific Geographic Information System is a state wide integration of geological, geophysical, geochemical and cultural data. It provides the Geological Survey, Minerals & Energy Division, PIRSA, with its primary mechanism for distributing regional geoscientific information for exploration and research, via digital media. Datasets in this package are projected in Universal Transverse Mercator (UTM) Map Grid of Australia (MGA) coordinates relative to GDA94. The datasets are split into the three grid zones 52, 53 and 54, which span South Australia.

Dataset for the Gippsland Release area contains biostratigraphic, reservoir facies, and organic geochemistry from wells in the release region. This area is part of the Southeast Region.

Conductivity-depth estimates generated using the 1D Geoscience Australia layered earth inversion algorithm (GA-LEI) have been released to the public domain. The GA-LEI has been shown to provide useful mapping of subsurface conductivity features in the Paterson; for example paleovalleys, unconformities and faults. GA-LEI interpretations have been supported by independent borehole conductivity logs, and lithological drill-hole information. The Geoscience Australia Record 2010/12; Geological and energy implications of the Paterson Province airborne electromagnetic (AEM) survey, Western Australia, summarises the AEM processing, inversion, interpretation and implications for mineral exploration using the 1D GA-LEI. There is an inherent assumption in the GA-LEI algorithm that the earth can be represented by a set of 1D layers, which extend to infinite distance in the horizontal plane. This layered earth assumption has some limitations, and has been demonstrated to create artefacts when applied to heterogeneous 3D geological features. 3D inversion methods can potentially overcome some of the limitations of 1D inversion methods, reducing the artefacts of a 1D earth assumption. 3D inversions require much greater computational resources than 1D methods because they have to solve many large systems of equations. In addition, a large sensitivity matrix is computed, which increases memory requirements, and the process must be repeated for multiple iterations. This computational expense has generally limited the application of 3D inversions to AEM datasets, and restricted its practicality as a general mapping tool. The EMVision® inversion generated by TechnoImaging presents a method of running a 3D inversion, with a runtime comparable to 1D inversion methods. The EMVision® algorithm uses a moving footprint to limit the number of data points needed as input to the inversion at any one location. A background conductivity model is chosen to represent the far-field response of the earth, and the data points within the AEM footprint are treated as anomalies with respect to the background. In 2010, Geoscience Australia decided that a comparison of the GA-LEI with the EMVision® inversion would be useful both for geological interpretation and for assessing the benefits of 3D inversion of AEM. A subset of the regional Paterson AEM dataset around the Kintyre uranium deposit was provided to TechnoImaging to create a 3D inversion using EMVision® software. The data subset was a combination of GA data and data owned by Cameco Corporation and the cost of inversion by TechnoImaging was shared by both parties. Under the terms of the agreement between Cameco Corporation and Geoscience Australia there was a moratorium on the data release until 2012.

Dataset for the Petrel Release area contains biostratigraphic, reservoir facies, and organic geochemistry from wells in the release region. This area is part of the Northwest Region.

includes maps, data records & papers (7 volumes)