Papers in collection

• Mineral project risk and orebody knowledge – quantifying the value of drilling using decoupled net present value analysis Go to Paper
• Use of alternative drilling technologies during diamond drilling activities at Ernest Henry Mine – a fractured aquifer case study Go to Paper
• Value of information – blasthole assay tool spacing analysis using geostatistical simulations Go to Paper
• The evolution of structural and lithological domaining on the Spotted Quoll nickel sulfide mineral resource estimate Go to Paper
• Nova-Bollinger unfolding versus DA estimate Go to Paper
• Categorical and multiple indicator kriging – are we ignoring the geology? Go to Paper
• Empirical geostatistics #1 – kriging slope of regression: sensitivities and impacts on estimation, classification and final selection Go to Paper
• The value of data – getting it right from the start! Go to Paper
• Measuring spatial domain models’ uncertainty for mining industries Go to Paper
• You don’t know what you don’t know Go to Paper
• Geostatistical modelling of geometallurgical classes Go to Paper
• Machine learning in resource geology – why data quality is critical Go to Paper
• Indicator kriging saves the day – improving reconciliation Go to Paper
• Dynamic grade control modelling processes at the Waihi Underground Gold Mine Go to Paper
• Reverse circulation drill commissioning at Lihir open pit to provide data for medium term planning Go to Paper
• Creating optimised drill programs that add real value, and integrate with mine planning Go to Paper
• The evolution of the Monty Geological model and the revolution of the on-site modelling and grade control processes Go to Paper
• Predicting and modelling Bond Work Index using chemistry (as a proxy for mineralogy) Go to Paper
• Grade control and deleterious materials in polymetallic deposits Go to Paper
• Goldilocks – value of information for geoscience applied to coal in tactical time horizons Go to Paper
• Maximising the value of Rio Tinto’s Yandicoogina orebody – a mine geology perspective Go to Paper
• Optimal ore blending given geological uncertainty Go to Paper
• Improving crusher throughput using a problematic ore index based on simple, first principles geology Go to Paper
• Impacts of thrust faulting at Goonyella Riverside Mine Go to Paper
• Regional scale structural influence on the Ernest Henry orebody below current mining levels Go to Paper
• Lighting up the dark – the use of 3D seismic to optimise mine plans at structurally complex Blackwater mine Go to Paper
• Goodbye from the Argyle diamond deposit – insights from deep mining of the world’s largest diamond deposit Go to Paper
• An explosion of variety in the DeGrussa structural vineyard Go to Paper
• Improvement of the grade control procedure in open pit mine, at the Oyu Tolgoi copper-gold deposits, Southern Mongolia Go to Paper
• A novel innovation for reconciliation Go to Paper
• Ore quality measurement and control using GEOSCAN-M PGNAA real time elemental analysis Go to Paper
• Quality programs (QAQC) on Sample Stations – a prerequisite to achieve standards requirements and perform a robust reconciliation Go to Paper
• QAQC – proactive Quality Management (QM) supporting reconciliation results Go to Paper
• Mine reconciliation standardisation – R Factor Series Go to Paper
• MineSense technology empowering bucket resolution Mine to Mill reconciliation Go to Paper
• The Golden Mile – 125 years of mining and the challenges posed for today’s mine geologist Go to Paper
• Nova-Bollinger reconciliation and risk Go to Paper
• Digital geological mapping – pay-offs, pitfalls and pathways to successful mapping digitalisation Go to Paper
• Rethinking variogram modelling Go to Paper
• Multi-source data fusion for geological boundary modelling via Gaussian Processes Go to Paper
• ShovelSense measuring grade at bucket resolution – the new tool in the mine geologist toolbox Go to Paper
• Applying supervised machine learning and multiscale analysis on drill core data to improve geological logging Go to Paper
• SBRE – a simple, flexible and scalable framework to perform conditional simulations for uncertainty quantification Go to Paper
• Unlocking resource confidence in coal through use of conditional simulation Go to Paper
• Harnessing data complexity – how machine learning applies all project data for accurate resource modelling Go to Paper
• Driving improvements to underground diamond drilling effectiveness through real-time implicit modelling at Olympic Dam Go to Paper
• From paper to bytes – digital mapping implementation Go to Paper
• Linking Mineral Resource and Ore Reserve classification with techno_x0002_economic study levels and forecast relative accuracy Go to Paper