Tag: visualisation

Our impact on the Geothermal industry

We offer a product suite with modelling capabilities for many industries, including Leapfrog Geothermal for the geothermal energy sector.

Geothermal energy is heat from the earth

Geothermal energy is now being harnessed by regions world-wide as an affordable, clean, and sustainable energy source. The interactive map below shows the geothermal 2017 electrical generating capacities per country:

Data from ThinkGeoenergy. This interactive heat-map was created using the free program OpenSourceMap. 

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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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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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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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Building a geological model – Part 3 of 3

By Andrew Cantwell

Creating a first pass interpolant

This video continues on from part 2 of building a geological model in Leapfrog.

The process outlined in this video is simplified – the idea of this blog post is to give an understanding of the speed and ease of creating a first pass interpolant which can then be refined to give a more reasonable model.

You won’t hear any narration in this video but captions have been provided to explain the basic steps. If you’re after a more detailed description of the model building process then please contact your local support team.

We recommend you view this video in full screen mode. It may take approximately 30 seconds after you press play to switch to High Definition (given your internet connection allows it).

The main steps in this video include:

  • Viewing the assay data
  • Using some of the visualisation options to gain a basic understanding of the trend
  • Creating an interpolant model
  • Adjusting some basic parameters to get a more realistic model.

If you missed the previous videos in the model building series you can view Part 1 or Part 2 on this blog.

 

Further reading:
Case Study – can implicit modelling be used to model complex geology.

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