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Leapfrog Edge Fundamentals – Remote Training

2 June 2020 @ 8:30 am to 5 June 2020 @ 12:30 pm Europe/London

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, an optional KNA kriging neighbourhood analysis workflow, calculations, filters, validating and reporting, the Leapfrog way.

This course also includes data and model management and collaboration with Central, and model sharing and communication with View.

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 4 days 4 x 4hr = 16 hr total.

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.

€600 + 20% VAT

Presenter 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.

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