b'AEGC 2023Short abstractsThe re-usability of cloud-based data visualisation code meansA key challenge in the application of this method is that existing geotechnical data sets can be effectively manageddetermining whether velocities calculated at locations of by current technologies and resources, leading to shorter cyclesknown cover thickness can be generalised to the greater times for return on investment. project area. In this case study, from the Albany-Fraser belt of Western Australia, we demonstrate a rigorous method of assessing velocity variation within a project area. Through Drone enhanced capabilities applied to gradientassessment of residual error between calculated generalised magnetics. velocity and observed velocities from drill holes throughout the project, we demonstrate that within the project, an Adam Kroll accurate velocity estimate has been applied. Importantly, use of this method prior to extensive acquisition can AirgeoX clearly identify where an average V swill not be appropriate Drones are a new tool for the geophysicist to carry any numberand depth estimates are highly uncertain. This allows for of sensors. However drones are not similar to a plane or peopletermination or modification of a survey where the required carrying equipment on the ground because theyre robots wholevel of accuracy in depth estimation cannot be achieved and can carry out extremely complex tasks. This opens a whole newavoids potentially costly mis-predictions based on inaccurate world of possibilities to the geophysicist. depth estimates.One capability is a drones ability to be at a specific point in time in harmony with other drones, otherwise knownImproving predictive modelling of magnetite and as swarming. The ability to swarm can be used in airbornegangue mineral content for IOCG and BIF deposits magnetics to fly two magnetometers exactly side byusing hyperspectral data and controlled mixtures.side to an accuracy in position to the nearest meter. The magnetometers can be flown at any width to improve theHeta Lampine, Carsten Laukamp, Bobby Pejcic, Michael Verrall, gradient signal to noise. Drones can also fly perfectly in anyIan Lau, Jessica Stromberg, Andrew Rodger, Neil Francis and separation either forward/behind, above/below or besideErick Ramanaidoueach other to collect the gradients in the X,Y,Z field. In fact all gradients can be collected with four different dronesCSIROsimultaneously.Magnetite is a major ore mineral in Banded Iron Formation In this presentation we present data of two drones flown in a(BIF)-hosted high-grade iron ore deposits and ubiquitous swarming pattern. We display the accuracy of the swarminggangue mineral in iron-oxide copper gold (IOCG) deposits. formation and how that accuracy affects the data when flownBIF-hosted high-grade iron ore deposits contain up to 75% at varying distances apart. We provide comparisons of a singlemagnetite and specular hematite. In IOCGs, magnetite is a total field magnetic data set against a gradient enhancedcrucial part of the ore-forming process, representing up to dataset collected in a swarm formation. We discuss the benefits20% as gangue mineral with chlorite, quartz, and carbonateand disadvantages that this method of data collection has forminerals also common in BIF deposits. Demand for a low cost identifying different mineral deposits. and early-stage ore and gangue mineral quantification process is steadily growing, as this information is crucial for efficient ore processing which is the highest energy consumption Testing viability of average velocities for passivepart of the mining cycle and has significant impact on the seismic cover depth estimates over larger project areas:economics of a deposit. With the mining industry rapidly A case study from the Albany-Fraser orogen of Westernmoving towards minimising environmental impact and energy consumption, predictive modelling methods will Australia. play an increasingly critical role in maintaining social license Steve Kuhn and Danny Li to operate. All advanced modelling requires large, well-quantified and consistently collected training data, organised Fortescue Metals Group in a manner that can be scaled up as a project proceeds. Hyperspectral data are well established as a cost-effective The horizontal-to-vertical spectral ratio (HVSR) passivemethod for rapid and multi-scale mineral detection from early seismic method can be used to rapidly determine coverexploration to ore processing; however, predictive modeling depth. Where energy of the microtremor wavefield becomeshas been limited by the lack of quantified mineral mixture trapped in a low shear wave velocity (V s ) upper layer, thetraining datasets. To address this knowledge gap, we created spectral ratio of the horizontal to vertical oscillationssets of fully quantified (QXRD) and grain-size controlled (SEM-produces a peak at a frequency corresponding to theEDS) mixed mineral pairs of magnetite with chlorite, quartz, or thickness of that layer. Peak amplitude is determined by thesiderite (n = 113), which were analysed across the VNIR-SWIR-acoustic impedance contrast of the slower V supper layer andMIR-TIR (350-16669 nm) spectral ranges using HyLogger-3 underlying faster V slower layer. The most prominent contrastand FTIR hyperspectral instruments. The initial predictive is generally between unconsolidated cover and lithifiedmodelling (partial least squares, PLS) trained with these data basement. Commonly, HVSR soundings are taken at locationsprovide lower detection limits for magnetite and gangue of known cover thickness, such as drill holes. From knownminerals than traditional methods, even when applied to thickness and measured peak HVSR frequency, V scan bedata from different style mineral systems (skarn). In particular, calculated and subsequently, used to calculate an estimatethe data in the mid-infrared (MIR) wavelength region shows of cover thickness at HVSR sites where control points arepotential for further improvements in predictive modelling absent. accuracy.113 PREVIEW FEBRUARY 2023'