Tag: Leapfrog Geo

Getting a handle on complex geology

By Desmond Subramani

South Deep Mine has some complex geology, it is located near Westonaria, around 50km from Johannesburg, South Africa. The mine is regarded as a “flagship ore reserve”, but it hasn’t always been that way. Historical complications and the complex nature of the location has meant years of work to understand the geology. Leapfrog Geo has been an important aspect in improving the geological models within the mine’s geological team. This post highlights some of the challenges and how Leapfrog Geo proved to be a useful solution.

The Geologists of South Deep and leapfrog gathered outside the offices at South Deep’s Twin Shaft.

The Geologists of South Deep and leapfrog gathered outside the offices at South Deep’s Twin Shaft.

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Leapfrog Geo evolves with the release of 1.4

By Tim Schurr

The geological modelling workflow platform has evolved again, allowing you to model more geologies, in so many more ways. Earlier this month we released Leapfrog Geo 1.4, the third iteration of the software since its launch in February this year. The development group in New Zealand has been working full tilt at two key objectives; to extend the flexibility of Geo and to expand its capabilities with new workflows. The result is a new benchmark in usability and modelling workflows that delivers functionality that modelling geologists really need. So what’s new in version 1.4?

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Interpolant function in Leapfrog Geo

By Tim McLennan

Choosing an interpolant function

Leapfrog Geo uses two different base functions to form interpolants. They are the linear interpolant function and the spheroidal interpolant function. This blog covers when to use each base function, how to set the function parameters, and how to convert the parameters for a Leapfrog Mining interpolant across to Leapfrog Geo.

As explained in the Leapfrog Interpolation Basics blog article, the interpolant functions indicate how the function values are expected to vary as the distance between points increases. At small distances the values are expected to be similar and so the function values are small. At large distances the values are expected to vary considerably and so the function values are larger.   The nature of this relationship means that the interpolant function is equivalent to the variogram used in geostatistical modelling.

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What is happening with Mining and Geo

By Richard Lane

Leapfrog Geo was introduced in response to a number of requests from users to have a tool that could be integrated more easily in a standard work environment and manage the level of complexity they were encountering in their models. This led to a new interface that helped organise the models in Leapfrog Geo in a more structured way.

We now have received a considerable amount of feedback on how Leapfrog Geo compares to Leapfrog Mining. It has been very informative from our perspective because it has clearly illustrated the very wide variety of uses and tasks that Leapfrog Mining has been used for.

The principal difference between the two products is that Leapfrog Mining is a toolbox, which contains a significant number of powerful tools. Leapfrog Geo is designed to do certain workflows and it does these very efficiently. For users whose principal tasks are these workflows it is the obvious choice, and a significant number of users have indicated their preference by switching to Leapfrog Geo.

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