This week, we continue the theme of Mining in 2050 with Part 3: The The Evolution of Integrated Mine Planning & Parametric Modeling.
While Part 1 made 8 global trend predictions on what mining would look like 32 years from now, Part 2 talked about the Internet of Things, where it’s used in mining, challenges that must be overcome and the opportunities to disrupt the status quo with IoT.
Jeff Hamilton, Director of Strategy & Alliances, GEOVIA at Dassault Systèmes, now turns to the final part on mine planning.
Traditional Method of Mine Planning
This is where most mining software packages are today. The disadvantages include:
- Manual digitization and sectioning of geology
- Manual generation of mine plan
- Little automation between stages of the mine planning process
Parametric Modeling
Parametric modeling, which is what mining companies are asking software vendors to provide, takes this one step further. Benefits include:
- Automated propogation of effect as the model input changes
- New input data can be rerun to produce a new design and schedule
- Fully integrated geology, design, planning and scheduling applications
Stochastic Modeling
Finally, stochastic modeling represents the final vision – of both Dassault Systemes and the future mining industry. Benefits include:
- Simulate end to end uncertainty
- Parametric modeling with automated simulation analysis
- Review the entire result set instead of one automated result output
- Generative design methods
Watch the webinar replay below: