Frequently Asked Questions

Geometallurgy is a discipline that combines geology and metallurgy to improve the understanding of ore characteristics and how they might affect various stages of mineral extraction processing. It integrates geological, mineralogical, and metallurgical information to create a spatially-based predictive model for a mineral processing plant. The goal is to reduce risk and uncertainty in mining operations by better predicting variability in the ore and consequently the process performance.

Cancha is an integrated software solution for geometallurgical sample selection, result interpretation, prediction modelling, and reporting. It's used by geologists, miners, metallurgists, and geometallurgists to accurately and efficiently project metallurgical performance for mineral resources​. 

Cancha Geometallurgy offers a range of functions including:

• Drill logs visualization and statistical analysis

• 3D visualization and statistical analysis

• Metallurgical sample selection and representivity audit

• Metallurgical testwork analysis and interpretation

• Geometallurgical prediction algorithm generation

• Model quality and confidence metrics

• Automated documentation and reporting

There are numerous training videos available on our YouTube channel that explain the workflow and tools in Cancha geometallurgy software. We also offer courses, training online via Teams, and specialized workshops, as required. 

Yes, Cancha is designed to be user-friendly. A geologist or metallurgist can be up and running with the software in just a few hours. No computer programming or math skills are required.

ou can contact us for a presentation, a demo, and a trial of Cancha. Please visit our 'Contact Us' page for more information

Cancha Geometallurgy mitigates risks by offering a comprehensive and integrated solution for geometallurgical sample selection, result interpretation, prediction modelling, and reporting. The software's geostatistical functions ensure that samples are representative, improving confidence in metallurgical testwork results and reducing financial risk. By providing robust predictions for parameters such as recovery, product quality, operating cost, and throughput rates, Cancha helps mining companies make more informed decisions and manage risks effectively.

To Cancha, you'd need data related to geological, mineralogical, and metallurgical parameters of the mineral deposit you are investigating. This might include drill logs, metallurgical testwork data, block model, and geological models. The software uses this data to generate prediction algorithms and other analytical outputs.

Check out our data guide paper.

Metallurgical testwork involves conducting various tests on ore samples to understand how they will behave during processing. These tests can provide information about the physical and chemical characteristics of the ore, such as its hardness, grindability, and response to various treatment methods. Cancha Geometallurgy software assists in the analysis and interpretation of metallurgical testwork data, helping to generate predictive models for each parameter of interest.

The automated documentation and reporting feature in Cancha Geometallurgy software facilitates knowledge transfer, audits, and reviews by providing an easy-to-understand and transparent record of the geometallurgical modeling process. This can bring increased confidence to investors and stakeholders by raising the bar for reporting standards in metallurgical performance projections.

No, Cancha is PC-based and runs locally on your computer. It does not run on the cloud. This allows for direct control over your data and does not require an internet connection for operation.

Geometallurgy can significantly aid in mine planning by providing a detailed understanding of the variability within a mineral deposit. By combining geological, mineralogical, and metallurgical data, geometallurgical models can predict how ore will behave in the processing plant. This information can be used to optimize mine scheduling and plan for potential variations in ore quality.