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Turn up the Zinc - Predicting zinc recovery at McArthur River Mine (closed)

Unearthed solutions
This challenge has closed.
Partners: Glencore - McArthur Rive Mine
Tags: Machine learning, Process optimisation
Audience: Students, Researchers, Start-Ups, Businesses, Subject Matter Experts, Other
Anticipated Funding: $10,000
Applications close: March 5, 2019
Last Updated: April 1, 2019 12:21 AM
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The Challenge

The Challenge

Glencore’s aim is to run the processing plant as efficiently and stable (stability enhances metal recovery) as possible, with the most cost-effective reagent addition rates. This competition is the first step toward building an optimisation algorithm that can help us improve the process.


As part of this competition, we ask you to build a model to accurately predict the rougher zinc recovery and the final zinc recovery for each hourly interval in the data set. This prediction will be compared with the actual recovery as recorded by our continuous OSA monitoring system. Through our competition platform, you can upload your predictions and get a live score within minutes, comparing you with other participants.


The Opportunity

The prize money available in this competition is only one part of the opportunity. Glencore aims to identify the top teams and innovators to further work on the implementation of an optimisation algorithm.

The Partners

Glencore - McArthur Rive Mine

Eligibility Criteria

For complete details on the eligibility criteria that govern the Turn up the Zinc Challenge please refer to the website.

Terms and conditions

For complete details on the terms and conditions that govern the Turn up the Zinc Challenge please refer to the website.

How to apply

To submit an application for the Turn up the Zinc Challenge please refer to the website.