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.
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.
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
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!
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.
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.
By Mike O’Brien
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.
Leapfrog has a new surface modelling tool available in the Geological modelling toolset! The offset surface tool will be available to users who have the latest version of Leapfrog Geo or Geothermal. It’s designed to enable a greater degree of flexibility when modelling complex stratified geology, particularly from heterogeneous data. The offset surface tool appropriates all the current dynamic functionality available in the existing geological modelling surface options.
So how can the new tool be used to model such deposits? Users of Geo 2.2.1 and earlier may already be familiar with the existing offset tool that was located in the meshes folder. The new tool incorporates much of the same functionality but supersedes the earlier version with improved algorithms and additional editing options. The new functionality is well suited for modelling faulted, stratified deposits.
Continued from part 1 – Making the most of Leapfrog for Flow Modelling.
Generate and evaluate a finite element grid
Finally to generate a FEFLOW model right click ‘Flow Models’ in the project tree and select ‘New 2D FEFLOW Model’. Set the element size and boundary from either a GIS line, polyline or a GM. Next expand the grid, right click ‘grid’ and select ‘New feature’. Within the dialogue add any ‘Point’, ‘Line’ or ‘Polygon’ features you wish to refine the grid with. Select ‘Simplify Feature’ to reduce or increase the number of points used for the boundary prisms. Next double click the grid, in the ‘Features’ tab and activate any features you wish to build detail around and the number of refinement steps. Within the ‘Boundary’ tab select either a rectangular boundary or a custom boundary by selecting ‘From another object’.
Simulating fluid flow, mass and heat transfer requires the synthesis of geological models with a multitude of parameters, the process is complex. So how can Leapfrogs modelling functionality be used to streamline it?
Interoperability with FEFLOW and MODFLOW allows Leapfrog Hydro, Geothermal and Hydrology module users to interpolate initial simulation parameters and apply them to geologically constrained finite element and finite difference grids. For the purpose of this blog I will demonstrate the capabilities by modelling an aquifer system in Leapfrog Geo, simulating it in FEFLOW and viewing the time series in Leapfrog.
Aquifer systems are comprised of permeable porous water bearing aquifers and impermeable aquitards. Both have variable permeability and porosity within the sedimentary units they are comprised of, the units themselves pinch-out and diverge within stratified layers of sediment. Stratified drift aquifers are among the most challenging of such systems, as a result of the complex depositional environments they derive from.