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Conference panels

Conference panels

Panel: Myth Busting

Overview: Why do we still not agree on things that have been studied (and often ‘solved’!) for decades? Why, even at the highest levels of practice, do we still debate what is best practice?

Myths! Let’s tackle them, one by one, in a fun and interactive panel session with specialists on stage and in the crowd to debunk your favourite myth. For some, these may sound amateurishly simple and boring, but for many, the extensive noise that is ‘the internet’ has made finding the answers difficult.

Are you a big blocker or small blocker? Do you think the Kriging Oxymoron is a band from the 80s or an actual debate that doesn’t want to die? Do you want to know whether your model’s blocks size should be set based on your ‘KNA analysis’? Is 9 search passes better than 11? Should you match that search range to the variogram range? Is it really a catastrophe if I never care about the correlation that seems to be so evident between these variables of interest? Why is the Reasonable Prospects principle so difficult to understand? And do we feed our children 25m or 0.1m composites?

We take questions from the floor, and tackle the most up-voted questions for our panel to respond to. Submit anonymously if you want to prevent tar and feathers! Have our expert panel clear up some of the mist that surrounds these and give clear answers to what is….best practice.

Panellists

Rene Sterk

FAusIMM(CP)
Facilitator
Director & Principal Consultant Geologist, RSC

Mo Srivastava

Resource Estimation Consultant, RedDot3D Inc.

Dr Clayton Deutsch

Director and Professor in the School of Mining Engineering, University of Alberta

Dr Isobel Clark

Director and Consulting Engineer

Flavie Isatelle

Principal Geostatistician, Cube Consulting

Gustavo Pilger

R&D Strategy & Management Director, Dassault Systèmes

Only two weeks to go until #MREC2025

Register now and uncover cutting-edge insights in resource estimation.

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Panel. The Parker Challenge Results

How do the differences we bring to our professional practice affect the results we produce? How different can an estimate be when the only difference is the person responsible for the estimate? Let’s find out!

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