b'AEGC 2023Short abstractsGeochronology for mineral exploration. process compared to the disseminated form of the same minerals. This textural effect is assumed to result from Hugo Olierook differences in the SIP response associated with faradaic Curtin University versus non-faradaic polarisation processes that both occur at the metal-solution interface. Charge transfer between ionic The ability to add a temporal dimension is one of the tenetsand electronic conduction occurs via oxidation or reduction of mineral exploration, and Earth sciences in general. For orereactions between the solution and metallic mineral deposits, this can often be complex as most minerals are notinterface. While charge cannot cross the interface under non-amenable to dating. Here, Ill present a range of case studiesfaradaic conditions, the faradaic current has the capability that encapsulate uncover stratigraphy, characterise fluid flowto pass across the phase boundary via electron transfer. Two and date mineralisation through work with various industrysignificant parameters are considered as evidence of the partners around Australia. All these case studies have aided thefaradaic polarisation process. First, the non-linear SIP effect, explorers in better understanding their mineral systems in orderbeing a variation in the response as a function of applied to reduce exploration risk. current represents the response to faradaic currents. Second, non-equilibrium effects, whereby the SIP response varies with time, results from electrochemical reactions associated Passive mineral exploration at the speed of light: Howwith redox-active ions involved in the faradaic current a space company is using ANT to map the earthstransfer across the metal interface. Such non-linear and non-subsurface. equilibrium SIP signals may prove valuable for discriminating disseminated from veinlet texture associated with electron-Gerrit Olivier conducting mineralsAs most of the outcropping and shallow mineral deposits have been found, new technology is imperative to findingApplication of machine learning for inversion of surface the hidden critical mineral deposits required to transition towave dispersion graphs.renewable energy. One such new technique, called ambient seismic noise tomography, has shown promise in recentAnatolii Pakhomenko and Andrej Bonayears as a low cost, low environmental impact method that can image under cover and at depth. Over the last 20Curtin Universityyears the method has been well-established in academia toMineral exploration and mine site planning significantly rely on image crustal and regional scale geological features, but hasseismic methods, especially surface wave analysis. The method seldomly been used in mineral exploration. This, in part, isincludes several steps, but data processing is a significant part due to the long turnaround time from data acquisition to 3Dof the costs and one of the most time-consuming. Because of model, which typically takes several months. In this paper wethat, we aim to streamline this method. Some of the processing show how we designed a high sensitivity compact passiveis automated, but the inversion of the dispersion curves is not. seismic station (Geode) that is purpose-built to image theInversion of dispersion curves is the most challenging step and subsurface in 3D down to 2 km depth in real-time by utilisingdoes not have a unique solution. It cannot be solved directly, so edge-computing, low-earth orbit satellites and machineoptimisation techniques minimise the objective function given learning. We show several case studies where the method hasby the difference between the theoretical and experimental been applied to image the subsurface to explore for copper,curves. The inversion techniques often stop at local minima lithium, nickel and gold. or are very slow. Machine learning can overcome these issues and automate and speed up surface-wave data processing. Textural effects in spectral induced polarisationInstead of picking velocity curves manually, computer vision is applied, and the process is automated. So, real-time data measurements of electron-conducting minerals:processing can save money and help mitigate risks when disseminated versus veinlet minerals. surface wave analysis can be combined with other activities that could lead to equipment damage due to shallow subsurface Nuray Oncul 1 John Kingman2 and Lee Slater1 risks by identifying faults, increased pressure, or cavities. Also, 1 Rutgers University-Newarkeliminating human input will make seismic imaging more 2 Terrigena Ltd., Hong Kong unbiased.Spectral induced polarisation (SIP) is a geophysical technique that is widely used to determine the properties of rock andUnderstanding potential resource prospectivity: 1-D soils by measuring the complex impedance over a rangeburial and thermal history modelling of the Adavale of frequencies. The method can be used to detect metallicBasin.and non-metallic mineralisation. The characterisation of electronically conductive minerals with SIP has long beenTehani Palu, Russell Korsch, Kamal Khider, Chris Boreham, of interest to the mineral exploration sector. However, aDianne Edwards and Adam Baileybetter understanding of the effects of mineral texture onGeoscience AustraliaSIP signals in the presence of electron-conducting minerals is required. In this study, laboratory measurements wereLateral variation in maturity of potential source rocks in the performed on electron-conducting minerals to betterDevonian Adavale Basin have been investigated using nine understand the effects of disseminated and veinlet minerals1D burial and thermal history models, constructed using on SIP signatures. We observe that veinlet minerals generateexisting open file data. These models provide an estimate of the a strong non-linear SIP effect and a longer non-equilibriumhydrocarbon generation potential of the basin.FEBRUARY 2023 PREVIEW 126'