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Leapfrog Edge Fundamentals – Remote
13 April 2021 @ 8:30 am to 15 April 2021 @ 1:30 pm BST
Want to maximise your operational efficiency and reduce your risk by trying resource estimation the Leapfrog way?
Join us in this instructor-led remote course to learn the fundamental concepts and tools necessary to get you going, including numeric data analysis, defining a domain, variography, variable orientation, producing robust estimates, calculations, filters, validating and reporting, the Leapfrog way. This course also includes data and model management and collaboration with Central.
Registration includes complimentary access to Leapfrog Edge for the duration of the course. This course will be delivered as 4-hour sessions run over the course of 3 days as 3 x 4hr = 12 hr total.
There will be a 1 hour break in each session. To make the most of this course, please ensure you have a stable internet connection, and a secondary screen is highly recommended.
To ensure a quality training experience for all participants, courses are capped at 6 attendees.
Once the registration limit is reached, additional registrants will be added to a waitlist and notified if a spot becomes available.
NB This is a 3 day course not a 4 day course as per the long desription on website training information.
Carrie Nicholls is a Resource Geologist with more than 18 years of experience in geostatistical analysis, geological modelling and resource estimation.
Carrie has extensive experience in open pit gold mining operations in Africa and Venezuela and has undertaken geostatistical and geological modelling work for a variety of deposits including gold, copper and niobium.
Carrie has experience in Linear and Non-Linear estimation (Uniform Conditioning and Indicator Kriging), Conditional Simulation, QAQC, Database Management, Sampling Protocols, Grade Control best-practice and Mine-to-Mill Reconciliation.
Carrie has been with Seequent since 2016 where her focus has been on supporting customers in estimation using Leapfrog’s Edge module.
Please note, this course is now full. To be added to the waitlist, please email [email protected]