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Grade Control and Ore movement from blasting: Integration of blast movement modelling into a Datamine Ore Control Process
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Classroom Contents
Integration of Blast Movement Modelling into Datamine Grade Control System
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- 1 Grade Control and Ore movement from blasting: Integration of blast movement modelling into a Datamine Ore Control Process
- 2 Predicting Ore Movement During Blasting: In-situ Copper, Mine plan, Drill and Blast, Dig and Dispatch, Crush and Mill, Process to product
- 3 Blasting: commodity, geology, the scale of mining, blasting practices
- 4 Conventional Blast Movement Modelling Methods
- 5 Blast Movement Modelling - the key challenge
- 6 Case study Blast from Kansanshi
- 7 Copper Grades Ore vs Waste
- 8 Pre and Post-Blast Survey
- 9 Swell and Thoughts
- 10 Blast Pattern Data - Hole Depth, Stemmed Heights, Kg of explosives, Timing Sequence
- 11 Datamine and OMP Software Integration: Augment software, machine learning, In-situ
- 12 Pre or Post-Blast Models
- 13 Blast Validation using Datamine scripts and macros
- 14 Power BI Validation Dashboard
- 15 FQLM Grade Control System
- 16 Step1: Select the Mark-up Stage
- 17 Step 2: Define the Pre and Post Blast Extents
- 18 Step 4: Move the Model
- 19 Step 4: Ore / Waste Mark-up
- 20 Step 5: Plotting and Data export
- 21 Conclusions: Machine learning ML based solutions
- 22 Conclusions: Blasting
- 23 Conclusions: Datamine Software Datamine macro language
- 24 Conclusions: GC System
