Geologists need to use the right methods when estimating the tonnage and grade they can expect from an ore body. For recoverable resources, when uniform conditioning doesn't work, you need to turn to alterative techniques. 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 simulation.

In this episode:

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?

For more information:

• Contact Ian Glacken - Optiro Director of Geology: iglacken@optiro.com
• Contact David Barry - Senior Geostatistician: barry@geovariances.com
• Optiro website
• 2-day Recoverable Resources course

Links:

• Wackernagel, H (2013) Basics in Geostatistics 3. Geostatistical Monte-Carlo methods: Conditional Simulation. NERSC, Accessed 17/10/2019.
• Glacken, I & Blackney, P (1998) A practitioners implementation of indicator kriging, The Geostatistical Association of Australasia “Beyond Ordinary Kriging” Seminar October 30th, 1998  Perth, Western Australia