Category: Mining

Client Paper: Rockmass classification – different ways of interpreting a 3D Leapfrog Geo model

We are grateful to Davi Newton Pinheiro da Costa Gomes, Geologist Engineer – Rock Mechanic at AngloGold Ashanti, for producing this paper. The paper is provided in the original Portuguese as well as English  , and aims to show how the rockmass classification of the mine known as Orebody V was performed, as well as different ways of interpreting a 3D geotechnical model.

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Leapfrog and the Integra Gold Rush Challenge

The 2015 Integra Gold Rush Challenge was a crowd-sourcing competition inviting participants to help uncover the next big gold discovery in Canada’s Val-d’Ors, Quebec. Crowdsourcing offers mining an alternative to traditional approaches as it harnesses the accumulated wisdom of a wide and diverse group of individuals.

Leapfrog was the official 3D modelling partner. With access to over six terabytes of digital mining and exploration data, it was a great opportunity to showcase our powerful FastRBF™ engine. Over 1,300 participants registered to use the free Leapfrog Gold Rush licences we provided, including all of the five finalists.

 
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Geotechnical data collection and presentation – It starts and ends with a vision

We’d like to share this article by Louie Human and Ben Jupp, Principal and Senior Consultants at SRK. The article gives some great advice on best practice approaches to Data Collection as the first step towards minimising uncertainty and input into the advanced technical assessment and design of a caving operation. The article goes on to stress the importance of using 3D visualisation tools such as Leapfrog in engineering, to make the understanding of the data in a spatial context possible.

The authors outline why combining robust data collection with software toolsets that visualise, interrogate and develop geotechnical models is so important and how these ultimately feed into the mine design and decision making process and impact on the safety and economics of recovery.

The article first featured in AusIMM Bulletin in August this year: http://bit.ly/2dPsZa9

 

 

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Leapfrog Aspect: Tips and tricks

By PJ Hollenbeck

The Leapfrog Aspect Android app has been available for more than a month on Google Play. Over 300 devices have installed the app, and use cases have ranged from general geology and mining visualization to civil tunneling projects and environmental studies.

The first update went out two weeks after release which added support for contour lines and planned drillholes, as well as a number of minor bugs.

 

File size limitations

Questions regarding File Size limitations have come up a lot, but unfortunately there’s not a great answer for a standard size limit.  Aspect has better success loading wireframes than drillholes and point data, so a file that’s 50MB but mostly wireframes is going to be more suitable for viewing in Aspect than a 20MB file consisting of 3000 drillholes.  High-resolution texture maps on surfaces (such as draped aerial photos on topography) will also slow down Aspect and may lead to crashes or other undesirable behavior. Likewise, if a scene is choppy or erratic on the desktop Viewer, it will probably have issues in Aspect. If there are errors in wireframes they may also cause issues in Aspect, so be sure to use clean data when exporting scenes!

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Point selection in Leapfrog Geo 3.1

By Peter Joynt

As you may know, we have recently released Leapfrog Geo 3.1 – this new release adds 3D point selection, a relatively simple feature that unlocks a number of new workflows. I am going to show you a few of these workflows – and hopefully it helps identify others that will fit your unique problems.

The point selection tool works in a similar way to interval selection, which has been available in Geo for some time. Interval selection is extremely useful for reclassifying poorly logged intervals and picking vein and dyke segments out of large complex drillhole datasets in 3D. The workflow is based around a simple to use 3D paint brush tool which, when combined with in-scene slicing and query filters, lets you quickly select and re-classify segments. We have now adapted this tool to be used with points, and allowed the creation of new category selection columns on points. Below are three examples of ways point selection can be used in your projects.

 

Selection of collars

Have you ever worked with a large drillhole dataset that has multiple prospects but no column in the database that can be used to separate them? This is a situation where the point selection tool can be useful. You can easily select a subset of drillholes in 3D and assign them a category. On top of this, you can apply query filters to give you flexibility for modelling and visualisation. The selection itself can be carried out directly on the collar table in the Drillhole Data folder.

Collar selection

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Dimensions and decisions: Mineral resource risk

By Mike O’Brien

 

10% and 90% Probability Shells for a Model of a Kimberlite Pipe

10% and 90% probability shells for a model of a Kimberlite Pipe

Mineral Resources and Reserves are not easy things to define. Qualified Persons (QP – NI43-101) and Competent Persons (CP – JORC, SAMREC etc) exist to do difficult things independently and provide a level of comfort to investors, clients and regulatory authorities.

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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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Predictions at locations where there are no measurements

By Richard Lane

A key feature problem in geological modelling is how to take scattered measurements and use these to make predictions at locations where there are no measurements. The data may be measurements on the surface, or samples taken from drilling, or channel samples taken while excavating. Figure 1 shows the basic problem. Solving this problem is fundamental to how Leapfrog software works, and it underpins the geological and mineralization models that are produced.

Figure 1: A simple scattered data problem. Estimate the value at the red cross from the blue samples.

Figure 1: A simple scattered data problem. Estimate the value at the red cross from the blue samples.

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Interpolation and anisotropy

By Kirk Spragg

Introduction

In addition to interpolation, Leapfrog provides two tools that give the user control over the continuity of grade in their interpolants. These are the “Global Trend” and the more advanced “Structural Trend”.

The Global Trend can be effectively used to alter the results of an interpolant.  The Global Trend  is suitable to use in situations where the underlying geology implies that grade is continuous in a planar direction over large distances. If this is not the case, and the underlying geology implies that direction of grade continuity varies over space, then Leapfrog’s Structural Trend is a more appropriate tool to use when modelling your deposit or ore body.

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