This service has been created specifically for display in the National Map and the chosen symbology may not suit other mapping applications. The Australian Topographic web map service is seamless national dataset coverage for the whole of Australia. These data are best suited to graphical applications. These data may vary greatly in quality depending on the method of capture and digitising specifications in place at the time of capture. The web map service portrays detailed graphic representation of features that appear on the Earth's surface. These features include the administration boundaries from the Geoscience Australia 250K Topographic Data, including state forest and reserves.

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.

GeoSciML is the international standard for transfer of digital geological maps and relational database data. GeoSciML was developed over the past decade by the IUGS Commission for the Management and Application of Geoscience Information (CGI), and was adopted as an Open Geospatial Consortium (OGC) standard in June 2016. Ratification as an official OGC standard marked a coming of age for GeoSciML - it now meets the highest standards for documentation and current best practice for interoperable data transfer. GeoSciML is the preferred standard for geoscience data sharing initiatives worldwide, such as OneGeology, the European INSPIRE directive, the Australian Geoscience Portal, and the US Geoscience Information Network (USGIN). GeoSciML is also used by OGC's GroundwaterML data standard [1] and CGI's EarthResourceML standard [2]. Development of GeoSciML version 4 learnt considerably from user experiences with version 3.2, which was released in 2013 [3]. Although the GeoSciML v3 data model was conceptually sound, its XML schema implementation was considered overly complex for the general user. Version 4 developments focussed strongly on designing simpler XML schemas that allow data providers and users to interact with data at various levels of complexity. As a result, GeoSciML v4 provides three levels of user experience - 1. simple map portrayal, 2. GeoSciML-Basic for common age and lithology data for geological features, and 3. GeoSciML-Extended, which extends GeoSciML-Basic to deliver more detailed and complex relational data. Similar to GeoSciML v3, additional GeoSciML v4 schemas also extend the ISO Observations & Measurements standard to cover geological boreholes, sampling, and analytical measurements. The separate levels of GeoSciML also make it easier for software vendors to develop capabilities to consume relatively simple GeoSciML data without having to deal with the full range of complex GeoSciML schemas. Previously mandatory elements of GeoSciML, that were found to be overly taxing on users in version 3, are now optional in version 4. GeoSciML v4 comes with Schematron validation scripts which can be used by user communities to create profiles of GeoSciML to suit their particular community needs. For example, the European INSPIRE community has developed Schematrons for web service validation which require its users to populate otherwise-optional GeoSciML-Basic elements, and to use particular community vocabularies for geoscience terminology. Online assistance for data providers to use GeoSciML is now better than ever, with user communities such as OneGeology, INSPIRE, and USGIN providing user guides explaining how to create simple and complex GeoSciML web services. CGI also provides a range of standard vocabularies that can be used to populate GeoSciML data services. Full documentation and user guides are at www.geosciml.org.

To provide an introduction to the PacSAFE Activity

Science First Digital Science Capability - Raise awareness of the strategy and its values.

*This version of the USB will be distributed at the AMEC 2017 convention.* This USB has been produced for promotional purposes and will be handed out (free) at domestic and international conferences. The USB contains a selection of reports, flyers, maps and data. Products are grouped into 4 categories: Reports and Brochures, Mineral Deposits, Surface Geology and Geophysical Data, and Data Visualisation Tools. The content found on this USB can also be found on the GA webpage (http://www.ga.gov.au/data-pubs/data-compilations/mineral-exploration-and-investment; eCat 101062).

New geophysical data, including gravity, airborne electromagnetic (AEM) and broadband magnetotelluric (BBMT) were collected along a series of traverses in the southern Thomson Oregon region of north-western New South Wales and southwestern Queensland in 2014 as part of the Southern Thomson Project. Comparing and integrating this data over the same spatial extents aimed to provide a better understanding of the crustal architecture of this region, and help estimate cover thicknesses above basement rocks. When comparing all available datasets, AEM cannot be reliably used when cover thickness is > ~150m because of limitations in Depth of Investigation (DOI), and BBMT tends to overestimate cover thickness where it is less than 50m. Audio-MT (AMT) likely provides the best resolution for estimating cover thicknesses of 0-1000m on this regional scale. Forward modelling of the gravity data along selected traverses tested the interpreted crustal architecture and cover thicknesses inferred from available seismic images and the new AEM and MT conductivity models. The variable cover thicknesses interpreted from this combined approach produce a closer match with the observed gravity response when compared to a uniform, average cover thickness. The most accurate crustal-scale forward model was a thickened crust north of the Olepoloko Fault (the proposed southern boundary of the southern Thomson), split into simplified lower, middle and upper layers with basement lithologies immediately beneath cover based on the most recent basement interpretation map. Resistive bodies shown in the MT models were included in the gravity modelling, producing a good match between the observed and calculated gravity responses. These results demonstrate the utility in using a combination of different geophysical techniques to understand crustal architecture and estimations of basement depths in regions of Australia with little surface outcrop and thick cover sequences.

PNG has a significant exposure to natural hazards, which is likely to increase as population growth continues. Managing this risk requires a broad technical capacity and strong networks within all DRR-related organisations. Between 2010 and 2016, The Department of Foreign Affairs and Trade (DFAT) and Geoscience Australia (GA) collaborated to achieve a range of outcomes focused on building the capabilities of Papua New Guinea (PNG) technical agencies to deliver natural hazard risk information. Initially this work centred on East New Britain province, but subsequently was expanded to a national scope. The work focused on three significant natural hazards in PNG: earthquake, volcanic eruption and tsunami, and also included significant work on landslides and cross-cutting data management related capabilities. During the lifetime of the Activity, collaborative relationships between the Government of PNG technical agencies and GA served to deliver a series of outputs that contribute to improve disaster resilience outcomes in PNG. The work achieved the following outcomes. - Technical agencies in PNG have developed partnerships and networks in PNG that facilitate the transfer of knowledge, data and skills. - Scientists in PNG technical agencies are able to better assess the risk and impact from natural hazards; - A selected province in PNG is better informed about its risk from natural hazards; - The relationship between GA and PNG technical agencies is enhanced so that technical agencies have increased capacity to access and use risk assessment knowledge and skills; and - Government of PNG, DFAT and GA are aware of options for strategic support to PNG agencies that further develop their natural hazard risk assessment capacity. Key outputs in this project include. - A range of training, workshops, consultation, and ongoing collaborative projects and mentoring that developed the PNG capability in earthquake-, tsunami-, volcano- and landslide hazard analysis, as well as spatial data management and processing. Many of these also built up networks between PNG agencies and their stakeholders. - Development of a multi-hazard assessment for East New Britain, a national seismic hazard map, and targeted landslide susceptibility methodology, as well as communication material on natural hazards to the general public. The report articulates recommendations based on lessons learnt during the lifetime of this Activity. These centre on ensuring strong relationships between PNG technical agencies and GA, as the crucial factor determining successful outcomes; managing expectations, accommodating limitations in capability and capacity, and minimising technical and logistical challenges in delivering a program. These recommendations should strengthen future programs leveraging the potential of technical support for DRR.

This fact sheet provides you with an update on the geodetic survey work that is being conducted by Geoscience Australia in the Surat Basin region. This work commenced in 2014, and will be continuing into the future to improve Australian environmental monitoring.

Australian National Ocean Bottom Seismograph (OBS) Fleet is maintained by Geoscience Australia, managed by ANSIR¿Research Facilities for Earth Sounding, and funded through AuScope. These instruments will greatly contribute to the understanding of the crust beneath oceanic basins surrounding Australia. The Australian National OBS Fleet was utilised by the petroleum industry on a number of seismic surveys. High-quality data were recorded at all OBS deployment sites, often to offsets sufficiently large to detect Pn phases - refractions from the upper mantle. Analysis of earthquake data recorded during marine seismic surveys suggests strong interaction between anthropogenic signals (airgun source, vessel noise) and the natural environment. Recording earthquake and airgun signals at fixed locations opens up a completely new possibility for calibration and comparison of those signal strengths and spectral compositions.