In this episode, Ian Glacken our Executive Consultant in Perth, Australia discusses the thorny and divisive topic about whether we should be trying to minimise conditional bias in an estimate or should we be striving for a better idea of grade/tonnage relationship at the time of mining? Ian is joined in this discussion by Graeme Lyall our Executive Consultant who is based in Santiago, and Dr Oscar Rondon, Principal Geostatistician Datamine.

1:26 This podcast video at a glance

3:03 What is conditional bias

4:19 Schools of thought about conditional bias

6:19 The kriging oxymoron

7:00 The least of 2 evils

7:47 Important difference between the 2 schools of thought

8:40 Conditional bias and smoothing

11:42 What is KNA?

15:00 Discrete Gaussian method

Suggested papers to read.

D.G Krige - A practical Analysis of the effects of spatial structure and of data available and accessed, on conditional biases in ordinary kriging.

Quantitative kriging neighbourhood analysis for the mining geologist - A description of the method with worked case examples by J.Vann, S. Jackson and Olivier Bertoli.

If you'd like to connect with Ian, Graeme or Oscar please email them: contact@snowdenoptiro.com

This podcast is also available as a free video podcast on Snowden Optiro’s YouTube channel: https://www.youtube.com/playlist?list=PLZm0zjSNmpo27fX_tfI79Yzhxy3VXjvMt

Snowden Optiro is a resources consulting and advisory group that provides independent advice, consulting and training to mining and exploration companies, their advisors and investors. We help mine developers to advance their projects, mining companies to improve their operations and their professionals, and investors to derisk their investments by the provision of quality advice, training and software in the field of Mineral Resources and Mineral/Ore Reserves.

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