Overview
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a comprehensive conference talk from the Geology Symposium 2022 delivered by Flavie Isatelle, Senior Resource Geologist from Cube Consulting. Dive into the comparison of estimation methods in resource geology, focusing on Ordinary Kriging (OK), Inverse Distance Weighted (IDW), Nearest Neighbour (NN), and Moving Window Average (MWA). Discover the reasons behind IDW's preference over OK in some cases, and examine two distinct mineralization styles: continuous and discontinuous. Analyze global and local comparisons of the four estimation methods, investigate ore and waste allocation, and understand their economic impact. Gain valuable insights into resource estimation techniques and their practical applications in the mining industry. Perfect for geologists, mining professionals, and anyone interested in geostatistics and resource evaluation.
Syllabus
The proof is in the pudding: Ok is the best
Introduction: Ordinary Kriging, Inverse Distance Weighted, Nearest Neighbour, Moving Window Average
Presentation outline: Background, Data, Global and Local Comparison, Ore and Waste Allocation, Economic Impact
Background: Reasons why IDW is used over OK?
Data: 2 mineralisation styles - continuous and discontinuous
Global Comparison: 4 estimates - OK, ID2, NN, MWA
Local Comparison
Ore and Waste Allocation
Economic impact
Conclusions
Taught by
Datamine Software