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Creating and analysing quasi-twins in Leapfrog Geo + Edge – Partner Webinar (SRK Consulting)
9 June 2021 @ 10:00 am to 10:45 am BST
Mining geologists usually work with drill hole databases that represent multiple generations and types of sampling. An assessment of the relative biases that may exist between the main sources of grade information should be a key component of any data review.
Comparing summary statistics for grades from each type of sampling is often misleading, because the various sampling types are usually clustered quite differently, and even standard declustering techniques may not adequately resolve these spatial differences.
A more sophisticated approach would be to prepare separate estimates based on each main sampling type, but choosing optimal parameters for multiple estimates is likely be time-intensive, and the test estimates themselves may be sensitive to input assumptions and domaining.
This webinar will demonstrate a third option: using Leapfrog Geo and Edge to create twinned pairs of data from each sampling type, and then analysing the statistics of the paired grades. The example dataset is an open pit gold deposit, and the core drilling and blast hole samples will be compared. The same general approach can be applied to other comparisons, such as drilling vs channel samples, and historical drilling vs new drilling.
Robin Simpson, Principal Consultant, SRK Consulting (Russia)
Robin has over 25 years experience in in the mining industry including mineral resource estimation, mining geology, geostatistics, sampling and 3D geological modelling. He was born and raised in New Zealand where he completed his BSc in Geology and then started his career in Australia working for various gold mining and exploration companies. In 2003 he went to the UK to complete a Masters degree in Geostatistics after which he returned to Australia went to work for SRK Consulting in Perth. Robin has remained with SRK since, and is now at the Moscow office, where he has been for the past 5 years.