Maptek Blogs

Clayton Fritz - Business Development Manager - December 10, 2020

Everyone has favorite software that helps them succeed at work. These software favorites tend to have two things in common: 1) they’re easy to use and 2) they’re good at making daily tasks easier. And while these favorites are great, inevitably, a new software solution comes along claiming to make your work even easier. 

Do you take a chance on adding the new software to your favorites or stick to what you know? (more…)

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Luke Berry - Evolution Team Lead - December 8, 2020

In our previous blog, we covered the basics of evolutionary algorithms—how they work and how we use them at Maptek. In Part 2 we explain how we work with advances in evolutionary computing theory. (more…)

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Luke Berry - Evolution Team Lead - November 27, 2020

Maptek Evolution takes advantage of evolutionary algorithms to create dynamic, agile mine schedules that maximise value. But what are evolutionary algorithms? In nature, any living thing must fight for survival. If one individual in a population has characteristics that make it more likely to survive, it is more likely to pass on its genes to the next generation.

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Will Reid - Global Development Strategy Manager - November 12, 2020

Ask a geologist or scheduler how certain they are about their model or schedule and they might be confident or say ‘it’s economically viable’. But they are likely to struggle if you asked them to quantify that level of certainty.  (more…)

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Steve Sullivan - Senior Technical Sales Specialist Technical Lead - DomainMCF - November 3, 2020

In a non-scientific context, the word uncertainty implies misgiving, doubt and apprehension. In geoscience, knowing how much uncertainty surrounds your model is a good thing!

A geological model is based on the information available plus the geologist’s interpretation of how that information is connected. Different information and different interpretations lead to different models. The differences may or may not be particularly significant but contribute to uncertainty around the model. It is useful to be able to measure that uncertainty.

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