AI-Based Sample Selection
Smarter Sample Selection.Fewer Surprises.
Combine scanning data, rapid MPT measurements and ground-truth testing with AI-guided sample selection to fill data gaps and reveal unexpected variability.
Inputs
Built on Your Core Data
Three data sets from the same core, combined interval by interval.
Scanning Data
Hyperspectral, XRF and RGB
Geology Data
Lithology, alteration, zone and geochemistry (assays)
What it does
Hardness Predictions, With Confidence Built In
Predict rock hardness along the drill core, understand the confidence behind each result, and identify where additional laboratory testing could add value.
- Predicts DWi, A×b, BBWi and IS50 for every metre of core
- Gives a confidence level for every prediction
- Shows which intervals need conventional lab testing, and which don’t
- Improves as test results come in
Sample selection
Two Ways to Select Samples
Choose samples for further testwork based on what the program needs.
Representative
Samples that match the deposit’s hardness distribution.
Full Range
Samples that cover the full range of hardness variability.
How it works
Four Steps
From uploaded data to the samples to send for testing.
- UploadScanning, MPT and geology data for the holes.
- Check DataConfirms the file was read correctly before anything runs.
- Set UpChoose what to predict and how to select samples.
- ResultsHardness predictions with confidence, and the samples to send for testing.
For your project
What it Means
- Fewer conventional comminution tests
- Hardness answers earlier in the program
Part of how Minpraxis turns core data into engineering decisions, so fewer surprises reach mine and mill design.
No Surprise Mine Design™
Talk to Our Team
Tell us about your project and the data you have.