Program | MREC 2025

Mineral Resource Estimation Conference 2025 Program

The conference program is subject to change at any time, at the discretion of the organising committee.

All times are listed below in AWST (Perth, Australia).

Tuesday, May 6, 2025


7:30 AM - 8:30 AM	Day 1 \| Registration
8:30 AM - 9:30 AM	Session 1 \| Opening Plenary Welcome to Country Session Presenter, Welcome from Conference Chair Rene Sterk, RSC AusIMM Official Conference Opening Joanne Heyes, AusIMM KEYNOTE \| Resource Estimation in the Face of Future Mining Challenges Kerry Turnock, BHP
9:30 AM - 10:00 AM	Day 1 \| Morning Tea
10:00 AM - 12:15 PM	Session 2 \| Data Science, Input Data, ML & AI Dare to Transform: Leveraging New Ore Body Knowledge for Next-Generation Resource Estimation Jacqui Coombes, SageAbility Use of Machine Learning to predict recovery of alumina involving multiple analytical methods at Worsley Alumina. Johann Dangin, DeepLime Session 2 Technical Presentation Q&A Session Presenter, KEYNOTE \| Managing resource Uncertainty-from where we are to where we need to be-a big company perspective Arja Jewbali, Newmont PANEL \| Software Future Challenge Jacqui Coombes, SageAbility
12:15 PM - 1:15 PM	Day 1 \| Lunch
1:15 PM - 2:40 PM	Session 3 \| Culture, Failures/Learnings, Case Studies KEYNOTE \| Neuroscience case study of using data from 2D MRI slices to estimate local probabilities on the irregular and topologically complex surface of the brain Mo Srivastava, RedDot3D Inc You’re so vein – cognitive bias in the resource estimation process Dale Sims, Dale Sims Consulting Rethinking the World’s Largest Gold Producing Complex through Geologic Improvements to Mineral Resource Estimates Jesse Clark, Barrick Gold Session 3 Technical Presentation Q&A Session Presenter,
2:40 PM - 3:10 PM	Day 1 \| Afternoon Tea
3:10 PM - 5:20 PM	Session 4 \| Domaining & Geological Modelling KEYNOTE \| De-risking projects from mineral resource estimates Clayton Deutsch, University of Alberta Advances in Geologic and Resource Modelling Methods for Locally-Varying Controls on Orogenic Gold Mineralisation Jordan McDivitt, Evolution Mining Application of Machine Learning for Domaining of a Ni Laterite Deposit James Catley, SLR Consulting Limited Session 4 Technical Presentation Q&A Session Presenter, PANEL \| Myth-Busting Rene Sterk, RSC Day 1 Close Rene Sterk, RSC
5:30 PM - 7:30 PM	2025 Welcome Reception


7:30 AM - 8:30 AM	Day 1 \| Registration
8:30 AM - 9:30 AM	Session 1 \| Opening Plenary Welcome to Country Session Presenter, Welcome from Conference Chair Rene Sterk, RSC AusIMM Official Conference Opening Joanne Heyes, AusIMM KEYNOTE \| Resource Estimation in the Face of Future Mining Challenges Kerry Turnock, BHP
9:30 AM - 10:00 AM	Day 1 \| Morning Tea
10:00 AM - 12:15 PM	Session 2 \| Data Science, Input Data, ML & AI Dare to Transform: Leveraging New Ore Body Knowledge for Next-Generation Resource Estimation Jacqui Coombes, SageAbility Use of Machine Learning to predict recovery of alumina involving multiple analytical methods at Worsley Alumina. Johann Dangin, DeepLime Session 2 Technical Presentation Q&A Session Presenter, KEYNOTE \| Managing resource Uncertainty-from where we are to where we need to be-a big company perspective Arja Jewbali, Newmont PANEL \| Software Future Challenge Jacqui Coombes, SageAbility
12:15 PM - 1:15 PM	Day 1 \| Lunch
1:15 PM - 2:40 PM	Session 3 \| Culture, Failures/Learnings, Case Studies KEYNOTE \| Neuroscience case study of using data from 2D MRI slices to estimate local probabilities on the irregular and topologically complex surface of the brain Mo Srivastava, RedDot3D Inc You’re so vein – cognitive bias in the resource estimation process Dale Sims, Dale Sims Consulting Rethinking the World’s Largest Gold Producing Complex through Geologic Improvements to Mineral Resource Estimates Jesse Clark, Barrick Gold Session 3 Technical Presentation Q&A Session Presenter,
2:40 PM - 3:10 PM	Day 1 \| Afternoon Tea
3:10 PM - 5:20 PM	Session 4 \| Domaining & Geological Modelling KEYNOTE \| De-risking projects from mineral resource estimates Clayton Deutsch, University of Alberta Advances in Geologic and Resource Modelling Methods for Locally-Varying Controls on Orogenic Gold Mineralisation Jordan McDivitt, Evolution Mining Application of Machine Learning for Domaining of a Ni Laterite Deposit James Catley, SLR Consulting Limited Session 4 Technical Presentation Q&A Session Presenter, PANEL \| Myth-Busting Rene Sterk, RSC Day 1 Close Rene Sterk, RSC
5:30 PM - 7:30 PM	2025 Welcome Reception


7:30 AM - 8:30 AM	Day 1 \| Registration
8:30 AM - 9:30 AM	Session 1 \| Opening Plenary Welcome to Country Session Presenter, Welcome from Conference Chair Rene Sterk, RSC AusIMM Official Conference Opening Joanne Heyes, AusIMM KEYNOTE \| Resource Estimation in the Face of Future Mining Challenges Kerry Turnock, BHP
9:30 AM - 10:00 AM	Day 1 \| Morning Tea
10:00 AM - 12:15 PM	Session 2 \| Data Science, Input Data, ML & AI Dare to Transform: Leveraging New Ore Body Knowledge for Next-Generation Resource Estimation Jacqui Coombes, SageAbility Use of Machine Learning to predict recovery of alumina involving multiple analytical methods at Worsley Alumina. Johann Dangin, DeepLime Session 2 Technical Presentation Q&A Session Presenter, KEYNOTE \| Managing resource Uncertainty-from where we are to where we need to be-a big company perspective Arja Jewbali, Newmont PANEL \| Software Future Challenge Jacqui Coombes, SageAbility
12:15 PM - 1:15 PM	Day 1 \| Lunch
1:15 PM - 2:40 PM	Session 3 \| Culture, Failures/Learnings, Case Studies KEYNOTE \| Neuroscience case study of using data from 2D MRI slices to estimate local probabilities on the irregular and topologically complex surface of the brain Mo Srivastava, RedDot3D Inc You’re so vein – cognitive bias in the resource estimation process Dale Sims, Dale Sims Consulting Rethinking the World’s Largest Gold Producing Complex through Geologic Improvements to Mineral Resource Estimates Jesse Clark, Barrick Gold Session 3 Technical Presentation Q&A Session Presenter,
2:40 PM - 3:10 PM	Day 1 \| Afternoon Tea
3:10 PM - 5:20 PM	Session 4 \| Domaining & Geological Modelling KEYNOTE \| De-risking projects from mineral resource estimates Clayton Deutsch, University of Alberta Advances in Geologic and Resource Modelling Methods for Locally-Varying Controls on Orogenic Gold Mineralisation Jordan McDivitt, Evolution Mining Application of Machine Learning for Domaining of a Ni Laterite Deposit James Catley, SLR Consulting Limited Session 4 Technical Presentation Q&A Session Presenter, PANEL \| Myth-Busting Rene Sterk, RSC Day 1 Close Rene Sterk, RSC
5:30 PM - 7:30 PM	2025 Welcome Reception

Wednesday, May 7, 2025


7:30 AM - 8:15 AM	Datamine Breakfast \| The Mining Data Stream
8:00 AM - 8:30 AM	Day 2 \| Registration
8:30 AM - 10:20 AM	Session 5 \| Quantifying, Integrating & Modelling (Geological() uncertainty Welcome Day 2 Rene Sterk, RSC KEYNOTE \| I'd rather be approximately right than precisely wrong: Stochastic mine planning, resource classification and delivering on promises. Marcelo Godoy, AngloGold Ashanti Combining Geological and Grade Uncertainties in Drill-Hole Spacing studies Caio Gomes, SLR Consulting Assessment Of Revenue Uncertainty In Life-Of-Mine Planning At George Fisher Mine – Qld, Australia Bruno Afonseca, Glencore Novel Stratigraphy Simulation – a case study for ESG and mine planning application Dhaniel Carvalho, Resource Modeling Solutions Session 5 Technical Presentation Q&A Session Presenter,
10:20 AM - 10:50 AM	Day 2 \| Morning Tea
10:50 AM - 12:00 PM	Session 6 \| Quantifying, Integrating & Modelling (Geological) uncertainty continued In-situ uncertainty quantification and implications for risk mitigation – a case study from WAIO Newman Hub Craig Williams, BHP Mitsubishi Alliance Consuming in-situ uncertainty into mine planning processes: From reserve calculation to dynamic decision-making Ilnur Minniakhmetov, BHP Onto Copper-Gold Deposit, Indonesia: evaluation of geological and grade uncertainty in a cave operation. Richard Hague, Vale Exploration Australia Pty Ltd Session 6 Technical Presentation Q&A Session Presenter,
12:00 PM - 1:00 PM	Day 2 \| Lunch
1:00 PM - 3:20 PM	Session 7 \| Estimation Preg-robbing gold ores: an example of a non-linear estimation workflow when dealing with non-additive geometallurgical variables Matt Samson, Barrick Gold Estimating Recoverable Resources: is it still hopeless? Oscar Rondon, Datamine DIY – Implementing Customized Python Workflows for Flexible and Effective Mineral Resource Estimation Laercio Bertossi, Glencore Spatial Estimation with Machine Learning of Multiple-Fluid Phase Veining in Shear-Hosted Intrusion-Related Deposits Using Geospatial Features—A Case Study from Pogo Mine, Alaska. Elaine Ramos, Northern Star Resources Session 7 Technical Presentation Q&A Session Presenter, PANEL \| The Future of Resource Estimation Dhaniel Carvalho, Resource Modeling Solutions
3:20 PM - 3:55 PM	Day 2 \| Afternoon Tea
3:55 PM - 5:30 PM	Session 8 \| Parker Challenge Parker Challenge Results Danny Kentwell, SRK PANEL \| The Parker Challenge Results Danny Kentwell, SRK Conference Close Rene Sterk, RSC
5:30 PM - 6:30 PM	2025 Closing Drinks


7:30 AM - 8:15 AM	Datamine Breakfast \| The Mining Data Stream
8:00 AM - 8:30 AM	Day 2 \| Registration
8:30 AM - 10:20 AM	Session 5 \| Quantifying, Integrating & Modelling (Geological() uncertainty Welcome Day 2 Rene Sterk, RSC KEYNOTE \| I'd rather be approximately right than precisely wrong: Stochastic mine planning, resource classification and delivering on promises. Marcelo Godoy, AngloGold Ashanti Combining Geological and Grade Uncertainties in Drill-Hole Spacing studies Caio Gomes, SLR Consulting Assessment Of Revenue Uncertainty In Life-Of-Mine Planning At George Fisher Mine – Qld, Australia Bruno Afonseca, Glencore Novel Stratigraphy Simulation – a case study for ESG and mine planning application Dhaniel Carvalho, Resource Modeling Solutions Session 5 Technical Presentation Q&A Session Presenter,
10:20 AM - 10:50 AM	Day 2 \| Morning Tea
10:50 AM - 12:00 PM	Session 6 \| Quantifying, Integrating & Modelling (Geological) uncertainty continued In-situ uncertainty quantification and implications for risk mitigation – a case study from WAIO Newman Hub Craig Williams, BHP Mitsubishi Alliance Consuming in-situ uncertainty into mine planning processes: From reserve calculation to dynamic decision-making Ilnur Minniakhmetov, BHP Onto Copper-Gold Deposit, Indonesia: evaluation of geological and grade uncertainty in a cave operation. Richard Hague, Vale Exploration Australia Pty Ltd Session 6 Technical Presentation Q&A Session Presenter,
12:00 PM - 1:00 PM	Day 2 \| Lunch
1:00 PM - 3:20 PM	Session 7 \| Estimation Preg-robbing gold ores: an example of a non-linear estimation workflow when dealing with non-additive geometallurgical variables Matt Samson, Barrick Gold Estimating Recoverable Resources: is it still hopeless? Oscar Rondon, Datamine DIY – Implementing Customized Python Workflows for Flexible and Effective Mineral Resource Estimation Laercio Bertossi, Glencore Spatial Estimation with Machine Learning of Multiple-Fluid Phase Veining in Shear-Hosted Intrusion-Related Deposits Using Geospatial Features—A Case Study from Pogo Mine, Alaska. Elaine Ramos, Northern Star Resources Session 7 Technical Presentation Q&A Session Presenter, PANEL \| The Future of Resource Estimation Dhaniel Carvalho, Resource Modeling Solutions
3:20 PM - 3:55 PM	Day 2 \| Afternoon Tea
3:55 PM - 5:30 PM	Session 8 \| Parker Challenge Parker Challenge Results Danny Kentwell, SRK PANEL \| The Parker Challenge Results Danny Kentwell, SRK Conference Close Rene Sterk, RSC
5:30 PM - 6:30 PM	2025 Closing Drinks


7:30 AM - 8:15 AM	Datamine Breakfast \| The Mining Data Stream
8:00 AM - 8:30 AM	Day 2 \| Registration
8:30 AM - 10:20 AM	Session 5 \| Quantifying, Integrating & Modelling (Geological() uncertainty Welcome Day 2 Rene Sterk, RSC KEYNOTE \| I'd rather be approximately right than precisely wrong: Stochastic mine planning, resource classification and delivering on promises. Marcelo Godoy, AngloGold Ashanti Combining Geological and Grade Uncertainties in Drill-Hole Spacing studies Caio Gomes, SLR Consulting Assessment Of Revenue Uncertainty In Life-Of-Mine Planning At George Fisher Mine – Qld, Australia Bruno Afonseca, Glencore Novel Stratigraphy Simulation – a case study for ESG and mine planning application Dhaniel Carvalho, Resource Modeling Solutions Session 5 Technical Presentation Q&A Session Presenter,
10:20 AM - 10:50 AM	Day 2 \| Morning Tea
10:50 AM - 12:00 PM	Session 6 \| Quantifying, Integrating & Modelling (Geological) uncertainty continued In-situ uncertainty quantification and implications for risk mitigation – a case study from WAIO Newman Hub Craig Williams, BHP Mitsubishi Alliance Consuming in-situ uncertainty into mine planning processes: From reserve calculation to dynamic decision-making Ilnur Minniakhmetov, BHP Onto Copper-Gold Deposit, Indonesia: evaluation of geological and grade uncertainty in a cave operation. Richard Hague, Vale Exploration Australia Pty Ltd Session 6 Technical Presentation Q&A Session Presenter,
12:00 PM - 1:00 PM	Day 2 \| Lunch
1:00 PM - 3:20 PM	Session 7 \| Estimation Preg-robbing gold ores: an example of a non-linear estimation workflow when dealing with non-additive geometallurgical variables Matt Samson, Barrick Gold Estimating Recoverable Resources: is it still hopeless? Oscar Rondon, Datamine DIY – Implementing Customized Python Workflows for Flexible and Effective Mineral Resource Estimation Laercio Bertossi, Glencore Spatial Estimation with Machine Learning of Multiple-Fluid Phase Veining in Shear-Hosted Intrusion-Related Deposits Using Geospatial Features—A Case Study from Pogo Mine, Alaska. Elaine Ramos, Northern Star Resources Session 7 Technical Presentation Q&A Session Presenter, PANEL \| The Future of Resource Estimation Dhaniel Carvalho, Resource Modeling Solutions
3:20 PM - 3:55 PM	Day 2 \| Afternoon Tea
3:55 PM - 5:30 PM	Session 8 \| Parker Challenge Parker Challenge Results Danny Kentwell, SRK PANEL \| The Parker Challenge Results Danny Kentwell, SRK Conference Close Rene Sterk, RSC
5:30 PM - 6:30 PM	2025 Closing Drinks

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