3D geological mapping: From 2D GIS maps to 3D modelling

By Antonio Celis

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Traditionally, geoscientists have translated their field data collection efforts into a digital version of a geological map, which is typically built using GIS software (e.g. ArcGIS). Consequently most companies will have large archives loaded with GIS information from their projects. With more companies now choosing to collect their field data using electronic devices it ultimately results in a large repository of GIS data.

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Leapfrog 4.0 – Unlocking the value of Structural Data

We’d like to share some of the feedback we’ve received so far from users who are benefiting from Leapfrog 4.0’s new structural modelling tools and workflows. We hope this blog gives you the opportunity to compare your experience with others, motivates you to dive into modelling your structural data yourself or just encourages you to experiment!’

Structural Geology

Leapfrog 4.0 is a major release that introduces an entirely new structural data workflow and tools to import and clean structural data, identify patterns and then incorporate this valuable structural knowledge into your models.

“ One thing I really like is the easy and intuitive nature of loading and choosing the data you want to work with.The speed at which you can get an overall trend-will help in determining the general shape of wireframes (it’s fast). “

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Sula Iron & Gold Case Study – use of Leapfrog Geo’s movie function as a key marketing tool

Multi-commodity exploration company Sula Iron and Gold plc have used Leapfrog Geo’s movie function as a key marketing tool in the Ferensola Gold Project, Sierra Leone.

Using the movie function, Sula’s Non-Executive Technical Director, Howard Baker, has produced an impressive presentation to communicate target scale and to lift the project’s profile to the wider investment community.

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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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Leapfrog Central: What does it mean for your organisation?

By Peter Joynt

In 2003, ARANZ Geo released the first version of Leapfrog. Leapfrog’s implicit modelling engine brought about a paradigm shift in the way geologists generate 3D interpretations. Organisations that have embraced this new technology have realised significant benefits by building dynamic implicit models in less time.

Now, in 2016, we are releasing Leapfrog Central, a model management system that will bring about another paradigm shift, to continuous modelling.

What is continuous modelling? Continuous modelling supports incremental changes to models as data becomes available, and because the development of the model is visible to the wider organisation, decisions can be made based on the latest data and the most current understanding.

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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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