Conference Proceedings
Mineral Resource Estimation Conference Proceedings 2023
Conference Proceedings
Mineral Resource Estimation Conference Proceedings 2023
AusIMM’s inaugural Mineral Resource Estimation Conference 2023 brought together over 500 geologists, geostatisticians, software solution providers and other resources professionals, from across the globe to challenge the status quo of mineral resource estimation whilst sharing leading best practice examples.
The Conference Program featured keynotes from industry legends like Dr Isobel Clark, thought-provoking panel discussions, peer-reviewed paper presentations and networking functions.
And in the most-watched final conference session ever, the organising committee shared the results from the much-anticipated industry challenge: The Parker Challenge and announced its winner.
The Conference Program featured keynotes from industry legends like Dr Isobel Clark, thought-provoking panel discussions, peer-reviewed paper presentations and networking functions.
And in the most-watched final conference session ever, the organising committee shared the results from the much-anticipated industry challenge: The Parker Challenge and announced its winner.
Papers in collection
- Introducing deep learning and interpreting the patterns – a mineral deposit perspective Go to Paper
- ML and AI for resource estimation – what could possibly go wrong? Nothing! Everything! Go to Paper
- A guide to reporting Mineral Resource exclusive of Mineral Reserve Go to Paper
- Environmental, social and governance considerations in public mineral reporting Go to Paper
- Application of three lines model in resource and reserve estimation and reporting Go to Paper
- Best practice in Multiple Indicator Kriging (MIK) – importance of post-processing and comparison with Localised Uniform Conditioning (LUC) Go to Paper
- Testing and quantifying geological uncertainty (or a gram of drill data is worth a kilogram of geological interpretation) Go to Paper
- An evolution of drill hole spacing studies at Newmont Corporation Go to Paper
- Maximising the value of a drilling program – case study in a challenging environment Go to Paper
- Schrödinger’s kittens – lifting the lid on resource drill hole data after mining Go to Paper
- Comparison of two quantitative mineral resource classification methods – a case study from a large copper porphyry-skarn deposit Go to Paper
- Drill hole spacing analysis for classification and cost optimisation – a critical review of techniques Go to Paper
- Resource and Reserve category inflation – known rewards, hidden risks Go to Paper
- Risk assessment of iron mineral resources using conditional simulations Go to Paper
- Modelling metal recovery by co-kriging the feed and concentrate masses of metal Go to Paper
- An estimation error Go to Paper
- Overcoming implicit modelling software limitations using Python scripting – an innovative geological modelling workflow for George Fisher Mine, Queensland, Australia Go to Paper
- SBRE framework – application to Olympic Dam deposit Go to Paper
- Benchmarking and cross validation of the multivariate conditional simulation model of the Olympic Dam deposit Go to Paper
- Why I don’t believe in reconciliation Go to Paper
Contributor(s):
A Adeli, B C Afonseca, L Allen, C Artica, H Arvidson, C M D Barton, L Bertossi, P Boamah, M Bond, G W Booth, D Carvalho, F Cessford, V Chamberlain, D Clarke, D Corley, P Dowd, S Dunham, X Emery, D M First, T Flitton, I Glacken, M Grant, R R Hargreaves, J D Harvey, D Hope, A Jewbali, J Joughin, A A Latscha, J Levett, R Marinho, M Mattera, I Minniakhmetov, D Mogilny, J Moore, D K Mukhopadhyay, M P Murphy, M J Nimmo, M Noppé, D O’Connor, B Parsons, W Patton, N Pollock, W Randa, O Rondon, T Rowland, D A Sims, G Squissato Barboza, I Sucholutsky, C Xu, F Yusufali, G Zhang
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Approved activity
- Published: 2023
- Unique ID: P-02492-Y7C3B3