Peter Oshust, Wood PLC

Peter has over 25 years’ operating and consulting experience for base-metals, gold, platinum-palladium, and diamond projects around the world. Based in Vancouver, he specialises in geological modelling, geostatistics, and Mineral Resource estimation. Wood combines the experience and expertise of Amec Foster Wheeler and Wood Group into one full scope service company supporting industrial assets for customers worldwide. For more info: https://www.woodplc.com/.

In your opinion how has resource estimation or geostatistics changed over the last 10 years?
Resource estimation has changed over the past 10 years in a few areas. First, regulators and consumers of technical reports have driven improvements by demanding greater responsibility and accountability for the predictions. Also, industry and public both have a better understanding of resource confidence. For the practitioner, recent developments in software applications have provided toolkits that enable the assimilation of multiple data types and much more rapid analysis and modelling than previously. Improvements in computer hardware have also made it possible to tackle larger datasets and models.

Resource estimation will continue to change, with punctuated evolution from new applications like Leapfrog EDGE.

Has Leapfrog EDGE lived up to your expectations?
The first release of Leapfrog EDGE has met my expectations. Leapfrog EDGE contains all the essential tools required for block grade estimation. I found the workflow easy to use and intuitive in the style of Leapfrog. The workflow is also consistent with resource modelling best practices. The rapid updating that we have become accustomed to in Leapfrog is an improvement over other General Mining Packages. It makes it quick and easy to test a variety of estimation plans and to check sensitivities to estimation parameters.

What is the biggest benefit to you?
It is critical to get the geological domains right for block grade estimation. If the geology is wrong, the block grade predictions will be wrong. The greater the confidence in the geological models, the more confidence one has in the block grade estimate.
The addition of Leapfrog EDGE to the resource modelling process in Leapfrog Geo means I no longer export the geological models out of Leapfrog Geo to be used in a third-party software. This step disconnected the geological models from block grade estimation. It was time-consuming to update the external block models when new drill hole data is made available. In my opinion, the speed that you can go through the resource estimation process with Leapfrog EDGE is faster than most software packages. This means there is more time for analysis of the results and for testing alternative scenarios and sensitivities to the kriging neighbourhood.

Ready to experience Leapfrog EDGE yourself? Watch this 6 minute demo video.