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.
|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
|Virtual Commissioning using Simulink – Part 1: Design with Simulation||Ruth-Anne Marchant and Branko Dijkstra
|15 September 2020
||12:30 – 1:30pm AEST||Register|
|Virtual Commissioning using Simulink – Part 2: Virtual Commissioning
||Ruth-Anne Marchant and Branko Dijkstra
|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
|10 November 2020||12:30 – 1:30pm AEST||Register
|Production Forecasting to Support Mining Operations||Sam Oliver and Emmanuel Blanchard
|8 December 2020||12:30 – 1:30pm AEST||Register|