What are recoverable resources? (2/2)Posted on
David Barry, Senior Geostatistician and a Geovariances’ Perth-based consultant, has been invited by Optiro, a resource consulting group, to participate in a podcast about recoverable resource estimation. Listen to this 2nd recording and learn more about the alternatives to uniform conditioning, such as MIK and conditional simulations, and their pros and cons.
Geologists need to make predictions about how much can be extracted from an orebody based on limited data. What can you do to confidently report on the likely tonnage and grade? In part two of this two-part series, Senior Geostatistician at Geovariances, David Barry, and Director of Geology at Optiro, Ian Glacken, discuss MIK and conditional simulations.
2:05 There are alternatives to uniform conditioning for when it isn’t suitable
4:15 What are the alternatives to uniform conditioning?
7:45 There are several theoretical objections to Multiple Indicator Kriging in the French school
9:38 What is conditional simulation and how does it apply to recoverable resource estimation?
11:49 So how would we get a single optimal result from multiple conditional simulations?
12:50 How would you use Isatis to help you with your estimation techniques?
14:44 Where can people go to get more information on this subject?
Oil & Gas (5)
Nuclear Decommissioning (3)
Contaminated sites (1)
2D erodability map
Airborne flight line
Complex geometric relationships
Conversions & Uncertainties
Drill hole spacing analysis
Flight line spacing
Flow path lines
Geostatistical Hierarchical Clustering
Mineral resource estimation
Multi-Acquisition Factorial Kriging
Recoverable resource estimation
Soil contamination mapping
Support Vector Machine
Turbiditic depositional system
David Barry (4)
Pedram Masoudi (2)
Elodie GALLOYER (1)
Yvon Desnoyers (1)
Pedro Correia (1)