Drillhole Spacing Analysis Using Simulated Information for Grade Control Optimization
Offered By: Datamine Software via YouTube
Course Description
Overview
Syllabus
Drillhole Spacing analysis using simulated information. What is the optimum drill spacing for grade control?
Why is DHSA drillhole spacing analysis important? Drilling for grade control, minimise the drilling cost to achieve indicated resources
The principles of value optimisation: revenue, planned mining cost, ore loss, dilution
The consequences of misclassification - one model: drilling cost and opportunity cost
Why simulation? Histogram, variogram, equiprobable outcomes
What is a multivariate simulation MVS? Iron, silica, manganese, alumina, phosphorus
Multiple drilling grids from a simulation
Case study - Copper-nickel mineralisation
Multivariate simulation workflow
Simulation - Raw data inputs
Simulation - Gaussianisation
Simulation - Scatterplot of simulated factors
Simulation - Reproduction of sample histograms
Simulation resampling - Chosen realisation
Simulation resampling - Pseudo drillholes
Post-processing of OK models and value comparison
Misclassification maps - Example
Results - Drilling cost difference for various grids
Results - Misclassification example
Results - Drilling revenue to a drilling pattern
Taught by
Datamine Software
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