Mineral resource estimation. Conference 2023 / Оценка минеральных ресурсов. Конференция 2023

AI and machine learning

Introducing deep learning and interpreting the patterns – a mineral deposit perspective

D.M. First, I. Sucholutsky, D. Mogilny and F. Yusufali

ML and AI for resource estimation – what could possibly go wrong? Nothing! Everything!

M.J. Nimmo

Best practice

A guide to reporting Mineral Resource exclusive of Mineral Reserve

T. Rowland, H. Arvidson, M. Noppé, M. Mattera, B. Parsons, V. Chamberlain and R. Marinho

Environmental, social and governance considerations in public mineral reporting

T. Rowland, J. Joughin, F. Cessford, V. Chamberlain, T. Flitton, H. Arvidson and N. Pollock

Application of three lines model in resource and reserve estimation and reporting

D.K. Mukhopadhyay, D. Hope and J.D. Harvey

Best practice in Multiple Indicator Kriging (MIK) – importance of post-processing and comparison with Localised Uniform Conditioning (LUC)

G. Zhang and I. Glacken

Beyond zero cut-off – validation at economic cut-offs

Optimising underground resources – a case study

P. Boamah, G. Squissato Barboza and D.K. Mukhopadhyay

Case studies

Testing and quantifying geological uncertainty (or a gram of drill data is worth a kilogram of geological interpretation)

C.M.D Barton and M.P. Murphy

An evolution of drill hole spacing studies at Newmont Corporation

A. Jewbali and L. Allen

Maximising the value of a drilling program – case study in a challenging environment

A.A. Latscha and D. O’Connor

Schrödinger’s kittens – lifting the lid on resource drill hole data after mining

J. Moore, M. Grant, D. Corley and W. Randa

Classification

Assembling the geological complexity in mineral resource classification

B.C. Afonseca

Comparison of two quantitative mineral resource classification methods – a case study from a large copper porphyry-skarn deposit

C. Artica

Drill hole spacing analysis for classification and cost optimisation – a critical review of techniques

I. Glacken, O. Rondon and J. Levett

Resource and Reserve category inflation – known rewards, hidden risks

G.W. Booth, R.R. Hargreaves and M. Bond

Risk assessment of iron mineral resources using conditional simulations

W. Patton

Estimation methods

Modelling metal recovery by co-kriging the feed and concentrate masses of metal

A. Adeli, P. Dowd, C. Xu and X. Emery

Failures and disasters

An estimation error

D.A. Sims

Geological modelling and estimation software – development, opportunities and limitations

Overcoming implicit modelling software limitations using Python scripting – an innovative geological modelling workflow for George Fisher Mine, Queensland, Australia

L. Bertossi and D. Carvalho

SBRE framework – application to Olympic Dam deposit

I. Minniakhmetov and D. Clarke

Open to anything

Benchmarking and cross validation of the multivariate conditional simulation model of the Olympic Dam deposit

D. Clarke and I. Minniakhmetov

Reconciliation of resource estimates

Why I don’t believe in reconciliation

S. Dunham