Maptek Blogs

Ann McCall - Mining Engineer - July 22, 2016

As a software company, Maptek is always looking for ways to help our users automate their processes to save time and increase efficiencies. However, sometimes this poses a dilemma: automate too much and you have an “easy button” that eliminates the critical thinking necessary to achieve a great result, automate too little and you’re left with manual processes that consume valuable time and resources. The Vulcan Automated Pit Designer is a tool new to Vulcan 10 which helps reach a balance between these two extremes. (more…)

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Steve Craig - Mine Scheduling Solutions Manager - May 30, 2016

Maptek Evolution has been proven to add value to projects in the medium and long term through advanced cut-off grade optimisation techniques.

This year Evolution has been able to help various projects and operators add more than $800 million to net present value across eight projects, including gold, uranium and diamond mines, operating with mine lives in excess of 13 years. (more…)

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Rosemary Rogers - - May 3, 2016

As a Virginia Tech alumni, I’m proud of so many things. Any other Hokie across the globe would immediately understand my excitement and loyalty to the Hokie Nation. For the rest of you, let me try to explain. If I sum it up into two things, it’s our motto Ut Prosim (That I May Serve) and BEAMERBALL! That’s the whole “Let Me Be Frank” part. (more…)

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Technical Services - Maptek - March 29, 2016

Interns have been learning their profession and contributing to the success of Maptek for more than 20 years.

Maptek founder Bob Johnson says the company has been running internships since the early 1990s.

‘Significant contributions have been made to our software by some of these clever people,’ he says. (more…)

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Peter Shelton - - January 22, 2016

Tech Services recently passed me a customer request for help in processing ore oxidation data. It comprised lithology and analytical assay information stored as part of a full Vulcan Isis geological drillhole database.

The task required the ore-code classification of all lithological intervals in a database of around 100,000 records, and growing. The relevant information for this classification was contained across three different record types and required fairly detailed computation based on both empirical and derived assay values (around 15 values). (more…)

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