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Mineral Resource Estimation Conference 2025

Perth, Australia
6—7 May 2025

#MREC2025
16
PD Hours

Mineral Resource Estimation Conference 2025

Perth, Australia 6—7 May 2025 #MREC2025
16
PD Hours

Showcasing leading best practice in mineral resource estimation

AusIMM’s Mineral Resource Estimation Conference 2025 is expected to bring together 500+ geologists, geostatisticians, software solution providers and other resources professionals, from across the globe, to challenge the status quo of mineral resource estimation and share leading best practice examples. 

The conference aims to showcase leading best practice, case studies and research on mineral resource estimation and the software applications required. Facilitating open exchange of information, boasting interactive sessions, panel discussions and keynote presentations alongside case studies and peer-reviewed papers. 

Sessions topics will showcase the latest advancements and leading examples in: QA/QC and sampling, 3D geological and estimation domain modelling, geostatistical analysis, estimation, validation and risk analysis, and reporting. 

Sponsorship packages are in demand

Leading sponsors are already coming on board, underscoring the support for this premier event.

Conference news highlights

The Parker Challenge is closing soon!

Proudly sponsored by Barrick, the 2025 Challenge will focus on orientation: getting the directions of continuity right. Don’t miss this opportunity to put your resource estimation expertise to the test and be in the running to win $45,000  

Keynote insights: Marcelo Godoy

In his keynote address, Marcelo Godoy, Chief Technology Officer at AngloGold Ashanti, will share insights on stochastic mine planning, highlighting how it can address geological uncertainties and improve resource classification. 

Outstanding support for MREC

We have received an outstanding number of abstract submissions for MREC, marking the highest number of submissions received to date! This incredible response demonstrates the immense support for resource estimation events. 

 

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