Loading Events

« All Events

  • This event has passed.

“Advanced Mass Balancing and Inference” Short Course

June 28, 2017 - June 29, 2017

CAD1400

In order to optimize a mineral processing plant there are nine steps required:
1. Collect data (measurement)
2. Collate data (into a database)
3. Flowsheeting
4. Mass Balance
5. Inference
6. Determine Operational Parameter
7. Model fit
8. Simulate
9. Optimise
Mass balancing is often taught using least squares minimization. Inference is generally not taught and in the absence of inference, model fitting is rendered very difficult, which is why mineral processing simulation is generally much more difficult than it should be.
In this course we focus on mass balancing and inference. Whilst mass balancing is taught initially from a conventional least squares minimization approach, the course then discusses a probabilistic or information theory approach. Information theory is a relatively new area of mathematics which is only available to participants through this course. By using information theory one can infer ore properties at each stream in great depth (i.e. multi-mineral particle distributions); thereby providing the basis for later steps (particularly modelfitting).

Print

Details

Start:
June 28, 2017
End:
June 29, 2017
Cost:
CAD1400
Event Categories:
,
Event Tags:
Website:
http://www.oreventure.com/advanced-mass-balancing-and-inference-short-course/

Venue

OreVenture
Vancouver, BC Canada
Phone
6047827501
View Venue Website

Organizer

OreVenture
Phone
6047827501
Email
info@oreventure.com
View Organizer Website

By continuing to browse you agree to our use of cookies. To learn more, click more information

Dear user, please be aware that we use cookies to help users navigate our website content and to help us understand how we can improve the user experience. If you have ideas for how we can improve our services, we’d love to hear from you. Click here to email us. By continuing to browse you agree to our use of cookies. Please see our Privacy & Cookie Usage Policy to learn more.

Close