Analytical results and associated sample and analysis metadata from the analysis of minerals in earth material samples.

The Hera Au–Pb–Zn–Ag deposit in the southeastern Cobar Basin of central New South Wales preserves calc-silicate veins/skarn and remnant carbonate/sandstone-hosted skarn within a reduced anchizonal Siluro-Devonian turbidite sequence. The skarn orebody distribution is controlled by a long-lived, basin margin fault system, that has intersected a sedimentary horizon dominated by siliciclastic turbidite, with lesser gritstone and thick sandstone intervals, and rare carbonate-bearing stratigraphy. Foliation (S1) envelopes the orebody and is crosscut by a series of late-stage east–west and north–south trending faults. Skarn at Hera displays mineralogical zonation along strike, from southern spessartine–grossular–biotite–actinolite-rich associations, to central diopside-rich–zoisite–actinolite/tremolite–grossular-bearing associations, through to the northern most tremolite–anorthite-rich (garnet-absent) association in remnant carbonate-rich lithologies and sandstone horizons; the northern lodes also display zonation down dip to garnet present associations at depth. High-T skarn assemblages are pervasively retrogressed to actinolite/tremolite–biotite-rich skarn and this retrograde phase is associated with the main pulse of sulfide mineralisation. The dominant sulfides are high-Fe-Mn sphalerite–galena–non-magnetic high-Fe pyrrhotite–chalcopyrite; pyrite, arsenopyrite and scheelite are locally abundant. The distribution of metals in part mimics the changing gangue mineralogy, with Au concentrated in the southern and lower northern lode systems and broadly inverse concentrations for Ag–Pb–Zn. Stable isotope data (O–H–S) from skarn amphiboles and associated sulfides are consistent with magmatic/basinal water and magmatic sulfur inputs, while hydrosilicates and sulfides from the wall rocks display elevated δD and mixed δ34S consistent with progressive mixing or dilution of original basinal/magmatic waters within the Hera deposit by unexchanged waters typical of low latitude (tropical) meteoritic waters. High precision titanite (U–Pb) and biotite (Ar–Ar) geochronology reveals a manifold orebody commencing with high-T skarn and retrograde Pb–Zn-rich skarn formation at ≥403 Ma, Au–low-Fe sphalerite mineralisation at 403.4 ± 1.1 Ma, foliation development remobilisation or new mineralisation at 390 ± 0.2 Ma followed by thrusting, orebody dismemberment at (384.8 ± 1.1 Ma) and remobilization or new mineralisation at 381.0 ± 2.2 Ma. The polymetallic nature of the Hera orebody is a result of multiple mineralizing events during extension and compression and involving both magmatic and likely basinal fluid/metal sources. <b>Citation:</b> Fitzherbert, Joel A., McKinnon, Adam R., Blevin, Phillip L., Waltenberg, Kathryn., Downes, Peter M., Wall, Corey., Matchan, Erin., Huang Huiqin., The Hera orebody: A complex distal (Au–Zn–Pb–Ag–Cu) skarn in the Cobar Basin of central New South Wales, Australia <i>Resource Geology,</i> Vol 71, Iss 4, pp296-319 <b>2021</b>. DOI: https://doi.org/10.1111/rge.12262

<div>The National Geochemical Survey of Australia (NGSA) is Australia’s only internally consistent, continental-scale geochemical atlas and dataset. The present dataset contains additional mineralogical data obtained on NGSA samples selected from the Barkly-Isa-Georgetown (BIG) region of northeastern Australia for the second partial data release of the Heavy Mineral Map of Australia (HMMA) project. The HMMA project, a collaborative project between Geoscience Australia and Curtin University underpinned by a pilot project establishing its feasibility, is part of the Australian Government-funded Exploring for the Future (EFTF) program.</div><div>One-hundred and eighty eight NGSA sediment samples were selected from the HMMA project within the EFTF’s BIG polygon plus an approximately one-degree buffer. The samples were taken on average from 60 to 80 cm depth in floodplain landforms, dried and sieved to a 75-430 µm grainsize fraction, and the contained heavy minerals (HMs; i.e., those with a specific gravity > 2.9 g/cm3) were separated by dense fluids and mounted on cylindrical epoxy mounts. After polishing and carbon-coating, the mounts were subjected to automated mineralogical analysis on a TESCAN® Integrated Mineral Analyzer (TIMA). Using scanning electron microscopy and backscatter electron imaging integrated with energy dispersive X-ray analysis, the TIMA identified 151 different HMs in the BIG area. The dataset, consisting of over 18 million individual mineral grains, was quality controlled and validated by an expert team. The data released here can be visualised, explored and downloaded using an online, bespoke mineral network analysis (MNA) tool built on a cloud-based platform. Preliminary analysis suggests that copper minerals cuprite and chalcopyrite may be indicative of base-metal/copper mineralisation in the area. Accompanying this report are two data files of TIMA results, and a minerals vocabulary file. </div><div>When completed in 2023, it is hoped the HMMA project will positively impact mineral exploration and prospectivity modelling around Australia, as well as have other applications in earth and environmental sciences.</div>

We describe a vision for a national-scale heavy mineral (HM) map generated through automated mineralogical identification and quantification of HMs contained in floodplain sediments from large catchments covering most of Australia. The composition of the sediments reflects the dominant rock types in each catchment, with the generally resistant HMs largely preserving the mineralogical fingerprint of their host protoliths through the weathering-transport-deposition cycle. Heavy mineral presence/absence, absolute and relative abundance, and co-occurrence are metrics useful to map, discover and interpret catchment lithotype(s), geodynamic setting, magmatism, metamorphic grade, alteration and/or mineralization. Underpinning this vision is a pilot project, focusing on a subset from the national sediment sample archive, which is used to demonstrate the feasibility of the larger, national-scale project. We preview a bespoke, cloud-based mineral network analysis (MNA) tool to visualize, explore and discover relationships between HMs as well as between them and geological settings or mineral deposits. We envisage that the Heavy Mineral Map of Australia and MNA tool will contribute significantly to mineral prospectivity analysis and modeling, particularly for technology critical elements and their host minerals, which are central to the global economy transitioning to a more sustainable, lower carbon energy model. The full, peer-reviewed article can be found here: Caritat, P. de, McInnes, B.I.A., Walker, A.T., Bastrakov, E., Rowins, S.M., Prent, A.M. 2022. The Heavy Mineral Map of Australia: vision and pilot project. Minerals, 12(8), 961, https://doi.org/10.3390/min12080961

<div>A novel method of estimating the silica (SiO2) and loss-on-ignition (LOI) concentrations for the North American Soil Geochemical Landscapes (NASGL) project datasets is proposed. Combining the precision of the geochemical determinations with the completeness of the mineralogical NASGL data, we suggest a ‘reverse normative’ or inversion approach to calculate first the minimum SiO2, water (H2O) and carbon dioxide (CO2) concentrations in weight percent (wt%) in these samples. These can be used in a first step to compute minimum and maximum estimates for SiO2. In a recursive step, a ‘consensus’ SiO2 is then established as the average between the two aforementioned estimates, trimmed as necessary to yield a total composition (major oxides converted from reported Al, Ca, Fe, K, Mg, Mn, Na, P, S, and Ti elemental concentrations + ‘consensus’ SiO2 + reported trace element concentrations converted to wt% + ‘normative’ H2O + ‘normative’ CO2) of no more than 100 wt%. Any remaining compositional gap between 100 wt% and this sum is considered ‘other’ LOI and likely includes H2O and CO2 from the reported ‘amorphous’ phase (of unknown geochemical or mineralogical composition) as well as other volatile components present in soil. We validate the technique against a separate dataset from Australia where geochemical (including all major oxides) and mineralogical data exist on the same samples. The correlation between predicted and observed SiO2 is linear, strong (R2 = 0.91) and homoscedastic. We also compare the estimated NASGL SiO2 concentrations with another publicly available continental-scale survey over the conterminous USA, the ‘Shacklette and Boerngen’ dataset. This comparison shows the new data to be a reasonable representation of SiO2 values measured on the ground over the same study area. We recommend the approach of combining geochemical and mineralogical information to estimate missing SiO2 and LOI by the recursive inversion approach in datasets elsewhere, with the caveat to validate results.</div><div><br></div><div>The major oxide concentrations, including those for the estimated SiO2 and LOI, for the NASGL A and C horizons are available for download, as CSV files. A worked example for five selected NASGL C horizon samples is also available for download, as an XLSX file.</div> <b>Citation:</b> P. de Caritat, E. Grunsky, D.B. Smith; Estimating the silica content and loss-on-ignition in the North American Soil Geochemical Landscapes datasets: a recursive inversion approach. <i>Geochemistry: Exploration, Environment, Analysis</i> 2023; 23 (3): 2023-039 doi: https://doi.org/10.1144/geochem2023-039 This article appears in multiple journals (Lyell Collection & GeoScienceWorld)

Geoscience Australia is currently assessing selected Australian sedimentary basins for their unconventional hydrocarbon resource potential, in collaboration with the Northern Territory and state governments. A study of the southern Georgina Basin is in progress, involving the compilation of a cross-border dataset of all accessible open file seismic, well, geological and geochemical data that will be publicly released in mid-2014. Major geochemical resampling of old wells has generated new information on source rock characteristics, kerogen kinetics, and gas and oil isotope geochemistry in the Georgina Basin. Preliminary 3D geology and 1D petroleum systems models have also been generated. Several cores from the Georgina Basin have been HyLogged by the geological surveys of Northern Territory, Queensland and New South Wales, using HyLogging facilities funded by AuScope Pty Ltd and CSIRO as part of the National Collaborative Research Infrastructure Strategy (NCRIS) and AuScope National Virtual Core Library (NVCL) Project. Geoscience Australia currently has a project underway to reprocess the raw HyLogging data using a common set of mineral scalars, to create an internally-consistent, basin-wide dataset. An initial composite HyLogging data package was publicly released in March 2014, including reprocessed data for 14 wells in the southern Georgina Basin, information about the processing methods used, and metadata. A second stage of the project will involve interpretation of the reprocessed data from these wells, to further examine the relationships between the spectroscopic and mineralogical properties measured by the HyLogger, and core total organic carbon (TOC), XRD, XRF and ICPMS compositional data, well log data, and biostratigraphic data. Initial work has indicated interesting trends, such as the apparent relationship between gamma intensity, core SWIR albedo (mean shortwave infrared reflectance) and quartz content. Peaks in gamma intensity broadly align with troughs in albedo, suggesting that the reduced albedo is a result of increased TOC content. However, in others cores (or even the same core), peaks in gamma intensity also appear to correlate with potassium-rich phases such as white micas and other clay minerals, thus the gamma correlation does not appear straightforward. Other preliminary observations indicate that using HyLogging data provides (i) the opportunity to review the existing formation picks in the basin from a mineralogical perspective, (ii) new information on variations in calcite/dolomite proportions in the carbonate sequences, (iii) the ability to map apatite distribution, and (iv) mineralogical evidence of sedimentary cyclicity. It is thus hoped that integrated interpretation of the HyLogging data and other data types will enable clearer delineation of the lower Arthur Creek Formation (and the 'Hot Shale' within) in the Georgina Basin, and therefore assist in constraining target intervals for future unconventional hydrocarbon resource assessments.

<div>Although heavy mineral exploration techniques have been successfully used as exploration vectors to ore deposits around the world, exploration case studies and pre-competitive datasets relevant to Australian conditions are relatively limited. The Heavy Mineral Map of Australia (HMMA) project is a novel analytical campaign to determine the abundance and distribution of heavy minerals (SG>2.9 g/cc) in 1315 floodplain sediment samples collected from catchments across Australia during Geoscience Australia’s National Geochemical Survey of Australia (NGSA) project. Archived NGSA samples, which originated from, on average, 60 to 80 cm depth in floodplain landforms, were sub-sampled and subjected to dense media separation and automated SEM-EDS analysis in the John de Laeter Centre at Curtin University. Mineral assay data from all 1315 drainage samples will be publicly released by the end of 2023. </div><div><br></div><div>An initial data package released in August 2022 contains mineralogical assay data for 223 samples from the Darling–Curnamona–Delamerian (DCD) region of south-eastern Australia. That package identified over 140 heavy minerals from 29 million individual mineral observations. The number of mineral observations generated during the project required development of a novel Mineral Network Analysis (MNA) tool to allow end users to discover, visualise and interpret mineral co-occurrence relationships, potentially useful in exploration vectoring and targeting. The MNA tool can also be used to rapidly search the heavy mineral database to locate observations of potential economic significance. The co-occurrence of Zn-minerals indicative of high-grade metamorphism of base metal mineralisation (e.g., gahnite (Zn-spinel), ecandrewsite (Zn-ilmenite) and zincostaurolite (Zn-aluminosilicate)) from the region surrounding Broken Hill demonstrated the utility of the method. Zn-mineral co-occurrences not associated with known mineralisation were also noted and may represent targeting opportunities. </div><div><br></div><div>Heavy mineral data from parts of Queensland are scheduled for a separate public release in December 2022 and will be presented at the conference.&nbsp;</div> This Abstract was submitted/presented to the 2023 Australian Exploration Geoscience Conference 13-18 Mar (https://2023.aegc.com.au/)

Geoscience Australia, in collaboration with the Geological Survey of New South Wales and the Geological Survey of Queensland, have been collecting precompetitive geoscience data in the southern Thomson Orogen as part of the Southern Thomson project. This Project is designed to encourage industry investment in this poorly understood area, and spark interest by explorers to potentially discover a new minerals province. A stratigraphic drilling program was established to: 1. Develop baseline geologic constraints 2. Improve the understanding of basement geology 3. Better understand the potential for mineralisation. In the frame of this project, hyperspectral data have been collected from mud rotary drill chips and diamond drill cores penetrating the Mesozoic Eromanga Basin into basement felsic igneous, clastic sedimentary and metasedimentary rocks of the southern Thomson Orogen. Geoscience Australia requested assistance from CSIRO in performing quality assurance (QA) by reprocessing and reinterpreting hyperspectral data collected from 14 boreholes to inform the components of the stratigraphic drilling program. This report outlines the results of CSIRO’s reprocessing of the hyperspectral drill core data, which consisted of the following: 1. Quality Assurance (QA) on the data 2. Identification of visible to near infrared, shortwave-infrared and thermal infrared active mineral species 3. Identification of mineral assemblages 4. Comparison of mineralogy with other available geoscience data, such as geochemistry, where available.

<div>Indicator minerals are those minerals that indicate the presence of a specific mineral deposit, alteration or lithology[1]. Their utility to the exploration industry has been demonstrated in a range of environments and across multiple deposit types including Cu-Au porphyry[2], Cu-Zn-Pb-Ag VMS[3] and Ni-Cu-PGE[4]. Recent developments in the field of SEM-EDS analysis have enabled the rapid quantitative identification of indicator minerals during regional sampling campaigns[4,5].</div><div>Despite the demonstrated utility of indicator minerals for diamond and base metal exploration in Canada, Russia and Africa, there are relatively few case studies published from Australian deposits. We present the results of an indicator mineral case study over the Julimar exploration project located 90 km NE of Perth. The Gonneville Ni-Cu-PGE deposit, discovered by Chalice Mining in 2020, is hosted within a ~30 km long belt of 2670 Ma ultramafic intrusions within the western margin of the Yilgarn Craton[6].</div><div>Stream sediments collected from drainage channels around the Gonneville deposit were analysed by quantitative mineralogy techniques to determine if a unique indicator mineral footprint exists there. Samples were processed and analysed for heavy minerals using a workflow developed for the Curtin University-Geoscience Australia Heavy Mineral Map of Australia project[7]. Results indicate elevated abundances of indicator minerals associated with ultramafic/mafic magmatism and Ni-sulfide mineralisation in the drainages within the Julimar project area, including pyrrhotite, pentlandite, pyrite and chromite. We conclude that indicator mineral studies using automated mineralogy are powerful, yet currently underutilised, tools for mineral exploration in Australian environments.</div><div>[1]McClenaghan, 2005. https://doi.org/10.1144/1467-7873/03-066 </div><div>[2]Hashmi et al., 2015. https://doi.org/10.1144/geochem2014-310 </div><div>[3]Lougheed et al., 2020. https://doi.org/10.3390/min10040310 </div><div>[4]McClenaghan &amp; Cabri, 2011. https://doi.org/10.1144/1467-7873/10-IM-026 </div><div>[5]Porter et al., 2020. https://doi.org/10.1016/j.oregeorev.2020.103406 </div><div>[6]Lu et al., 2021. http://dx.doi.org/10.13140/RG.2.2.35768.47367 </div><div>[7]Caritat et al., 2022. https://doi.org/10.3390/min12080961 </div> This Abstract was submitted/presented to the 2023 Australian Exploration Geoscience Conference 13-18 Mar (https://2023.aegc.com.au/)

Analytical results and associated sample and analysis metadata from the analysis of minerals in earth material samples.