MATLAB and Simulink for Mining Webinar Series

As resources are becoming more difficult and costly to extract, the mining and mineral processing industry is undergoing a massive digital transformation. Using big data from sensors and domain expertise, companies in the resources sector are now able to drive productivity improvements, improve asset utilisation and engage in safer operations.  

In this webinar series, we will share use cases across the entire digitization process, from exploration and virtual commissioning to production forecasting.  We will also examine how domain experts can make use of approaches like machine learning and first principles modelling using MATLAB and Simulink, without having to become programmers.

Register to learn more at the links below.

Title Speaker(s) Date
Time
 
Building Diagnostic Models in the Processing Industries with Machine Learning Professor Chris Aldrich
WA School of Mines
11 August 2020
12:30 – 1:30pm AEST
Watch OnDemand
Virtual Commissioning using Simulink – Part 1: Design with Simulation Ruth-Anne Marchant and Branko Dijkstra
MathWorks
15 September 2020
12:30 – 1:30pm AEST Register
Virtual Commissioning using Simulink – Part 2: Virtual Commissioning  
Ruth-Anne Marchant and Branko Dijkstra
MathWorks
14 October 2020
12:30 – 1:30pm AEST Register
Automation of Mineral Resource Model Development Using Machine Learning and High-Performance Computing  
Sam Oliver and Emmanuel Blanchard
MathWorks
10 November 2020 12:30 – 1:30pm AEST Register
Production Forecasting to Support Mining Operations Sam Oliver and Emmanuel Blanchard
MathWorks
8 December 2020 12:30 – 1:30pm AEST Register