b'AEGC 2023Short abstractsTime of FlightSecondary Ion Mass Spectrometry (ToF-SIMS)and core imagery and has the ability to greatly improve data to obtain Mass-Spectrograms finger-prints for bituminite,collection workflows for the mining industry.graptolites, algae and possibly bacteria/archaea.The shale minerals are dominated by illite with minor quartzA first-pass inspection of Statewide airborne or carbonate, the proportions of which vary correspondinglyelectromagnetic data in Western Australia.between the argillaceous, siliceous and calcareous shales.Simon JohnsonAlex Zhan , David Howard , Mike Barlowand 1 1 1 2The organics in most samples are dominated by graptolitesCharlotte Hall3(vitrinite equivalent macerals), either Detrovitrinite from broken graptolite fragments or Telovitrinite (elongate graptolite1 Geological Survey of Western Australia stipes or branches). In contrast, a limited number of samples2 Geoscience Australiacontain a high proportion of Liptinites, mainly fluorescing3 DMIRSBituminite groundmass and Lamalginite (thin algal lamellae or filaments). Discrete algal bodies of G.prisca are rare and seemThe AusAEM20-WA programme to acquire regional AEM data to be restricted to very thin beds mainly within the Goldwyer Iat a nominal 20 km line-spacing across Western Australia sequence. is a National Collaborative Framework Agreement project between the Geological Survey of Western Australia and The maceral compositions control the target zones exhibitingGeoscience Australia, funded through GSWAs Exploration high mud-gas readings during drilling of Theia-1. The graptolitesIncentive Scheme, the State governments COVID-19 recovery have low potential for hydrocarbons. Most importantly,plan, and the Commonwealth Governments Exploring for pervasive Bituminite groundmass (probably derived fromthe Future programmes. When coverage is complete by the degradation of algae by bacteria/archaea) and the filamentousend of 2022, there will be more than 160 000 line km of data Lamalginite bands are lipid rich and are primarily responsible forthat can be downloaded from GSWAs MAGIX and GAs eCat the main hydrocarbon-bearing zones in Theia-1. This contrastsdatabases.with the perception from previous studies that the discrete G. prisca algal bodies were the main source of hydrocarbons. The data and derived products can be used to map the thickness and conductivity character of sedimentary and regolith cover to depths to 600 m, as well as the topmost portion of the Extracting consistent geotechnical data from drillunderlying basement, and provide information on near-surface core imagery using computer vision structure and mineral, energy and groundwater prospectivity.Sam Johnson and Yasin Dagasan Overall, the regolith-rock interface is well imaged across the State. On some sections, numerous, variably conductive Datarock Pty Ltd horizons within the regolith profile can be identified along with discrete palaeochannels. The Phanerozoic rocks in the As the global mining industry seeks to meet the ever increasingCanning, Perth, and Carnarvon Basins, are generally more demand for minerals, drilled metres are increasing as manyconductive than the surrounding Precambrian rocks. The operations are struggling to find skilled geologists andgreater conductivity may be related to the higher proportion geotechnical engineers available to produce high qualityof conductive shale units, as well as higher moisture levels in logging data. Subjectively logged datasets commonly collectedthe more porous and permeable sedimentary units.by geologists and geotechnical engineers are increasingly not being included in critical mining models due to a lack of quality,Preliminary camp-scale investigations across the State auditability and consistency. show that the data are useful to mineral explorers, as some conductive anomalies in the basement can be correlated Recent advances in computer vision - specifically in the fieldto known deposits. Particularly conductive rock types such of deep learning - have provided algorithms that have theas lamproite pipes (or, at least their altered tops) can be ability to efficiently augment and automate the manual drilldistinguished from the surrounding sedimentary rocks. Recent core logging process. Using these computer vision basedASX announcements have shown that explorers are using the workflows, we analyse traditional RGB drill core photographydata and prioritising anomalies for further investigation.to generate commonly logged geotechnical datasets including Rock Quality Designation (Deere, 1965), fracture spacing and frequency along with measuring the alpha and beta orientationQuantification of crystal size distribution in volcanic of open fractures. These outputs are evaluated against a humanrocks with machine-learning image analysis: Mt Read labeller and traditionally logged geotechnical data to create aVolcanics, Tasmania.detailed, quantitative comparison to highlight the strengths and weaknesses of both data collection methods. Martin Jutzeler 1, Yasin Dagasan2, Rebecca Carey1 and Ray Cas3In general, the geotechnical data generated from the computer1 University of Tasmania vision based methods produced data that was highly2 Datarock comparable to that of the traditionally logged datasets in terms3 Monash Universityof accuracy, but offered significant benefits in terms of speed and auditability. In addition, the computer vision generatedCrystal content is the primary qualitative characteristic to data was able to measure more features in more detail thanname volcanic rocks, because phenocryst populations display would be practical produce with a human logger. overall homogeneity within one volcanic body. As crystal content can vary considerably between bodies, quantifying This work demonstrates that detailed, consistent and auditablecrystal size distribution allows for fingerprinting coherent geotechnical data can be generated using computer visiontextures with a direct application for stratigraphic correlations 107 PREVIEW FEBRUARY 2023'