Tag: Leapfrog Edge

Wood’s Principal Geologist, Peter Oshust talks Leapfrog EDGE

Peter Oshust, Wood PLC

Peter has over 25 years’ operating and consulting experience for base-metals, gold, platinum-palladium, and diamond projects around the world. Based in Vancouver, he specialises in geological modelling, geostatistics, and Mineral Resource estimation. Wood combines the experience and expertise of Amec Foster Wheeler and Wood Group into one full scope service company supporting industrial assets for customers worldwide. For more info: https://www.woodplc.com/.

In your opinion how has resource estimation or geostatistics changed over the last 10 years?
Resource estimation has changed over the past 10 years in a few areas. First, regulators and consumers of technical reports have driven improvements by demanding greater responsibility and accountability for the predictions. Also, industry and public both have a better understanding of resource confidence. For the practitioner, recent developments in software applications have provided toolkits that enable the assimilation of multiple data types and much more rapid analysis and modelling than previously. Improvements in computer hardware have also made it possible to tackle larger datasets and models.

Resource estimation will continue to change, with punctuated evolution from new applications like Leapfrog EDGE.

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Reporting Resources in Leapfrog EDGE using open pit shells

By Seequent Senior Resource Geologist Carrie Nicholls

In this blog, I will teach you how to use Leapfrog EDGE to report using open pit shells.

You have completed the resource model and now you need to compile the table of resource figures. If there has been mining activity, either historic or present, then the deposit will have to be depleted. In addition, if appropriate and available, you will most likely need to constrain the resources with a resource pit shell and/or underground stope optimisation.

Whether it is an open pit shell or closed volumes, as would be the case with underground mining, the basic procedure will be the same. A ‘Geological Model’ will need to be made to represent the reporting volumes. The estimated grade model as completed in Leapfrog EDGE and the ‘pit’ model will be evaluated onto a block model. This will then be used to report the resources at the cut-offs required. Creating the ‘pit’ model itself is straight forward. Some open pit surfaces may be a little trickier to incorporate, for example if the pit edge daylights it may not be enough to extend to the geological model extents. If it’s not be possible to go back to the mining engineer who made it to extend the pit shell, I’ll show you how to deal with this.

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Geoestima’s Principal Consultant, Orlando Rojas, discusses his testing of Leapfrog EDGE

Geoestima’s Orlando Rojas, a senior resource consultant with over 25 years’ experience, shares his experience using Leapfrog EDGE on a strata-bound copper deposit during the rigorous pre-release programme.

Leapfrog EDGE is designed for today’s resource estimation challenges. How has resource estimation or geostatistics changed in the last 10 years?
I think the biggest change is that deposits have lower grades, which requires more accuracy from resource models and more parameters to predict the throughput and cash flows. We therefore need faster, and more versatile software, with traceable workflows.

Can you tell us about your experience using Leapfrog EDGE?   
We have already completed a geological and resource model using only Leapfrog EDGE. It was a strata-bound copper deposit, we modelled the lithology and a mineralisation envelope. We performed estimations by ordinary kriging and inverse distance using two or three passes and then we compiled the results using the calculation tool. We approached the resource category using the data density function tool, which allows you to map data density within a search.

We conducted geological modelling, grade estimation and classification entirely in Leapfrog EDGE. The resulting mineral resources model built in Leapfrog EDGE conforms to all the industry-standard technical procedures. This confirms that this tool is a viable alternative for us.

The biggest benefit is that it delivers an intuitive workflow from geological modelling to resource estimation, with the added benefits of Leapfrog’s great visualisation and dynamic
updating capabilities. Leapfrog EDGE also allows you to save time exporting and importing files from different software.

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Performing a Jack-knife-Style Analysis Using Leapfrog EDGE

One simple yet effective method for testing estimation sensitivity is to run a jack-knife analysis, wherein a sample or set of samples is intentionally removed from a dataset, an estimation is performed in the location of the missing samples, and the estimated result is compared back to the samples. The tools and workflow built into Leapfrog EDGE make this a simple operation to perform at a block level by comparing the results of two different estimations.

1. Create A Standard Estimator

The first step to running a jack-knife is to create an estimator using all data required. For this example I will use the LMS1 domain from the Leda training dataset, and will be estimating the Zn grades within that volume.

Edit Domained Estimation

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Part 2: More confident resource understanding

Iain Levy, Senior Technical Lead, Seequent.

In the first blog, we talked about a new more immersive approach to resource estimation. In this, the second part, we use real world data to highlight how this works and how this deeper understanding benefits the user. We will start off by looking at how you set up a domain for the immersive approach, before looking at how this could then be applied to investigating the search parameters.

Before we get started though, here’s a quick outline of the mineralisation:

There are two major pods of massive sulfide mineralisation running in a NE-SW trend, plunging to the NE (Figure 1). There is also a small pod of mineralisation to the north with limited drilling. We will be looking at the northern (red) pod to start. While it is a base metal deposit, we are going to be estimating gold as it has more interesting statistics and trends than zinc or lead. In terms of drilling, we are looking at a grade control situation with high density drilling.

 

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Part 1: Where have the macros gone? An immersive approach to estimation

Iain Levy, Senior Technical Lead, Seequent.

When discussing Leapfrog EDGE with clients I’m often asked, “what about macros?” or, “will Leapfrog EDGE be getting macros in the future?” Along this vein, a common request is for a swish multidomain tool that enables you to quickly carbon copy parameters from one domain and apply them to multiple other ones.

This has led me to reflect on why macros are so engrained into our estimation workflows, and if this has resulted in a focus on the processes of resource estimation to the detriment of the geology and reasoning behind it. As Dr Jacqui Coombes, General Manager – Innovation at METS Ignited recently commented; ‘The future of resource estimation will not focus so much on the process of resource estimation but on the reasoning of it’.

This blog is part one of a two-part series which considers the standard approach undertaken for resource estimation, and the value of a new approach where reasoning and validation play a more integrated role throughout the estimate.

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Take control of your geological modelling in 2018

Are you energised and excited about the projects underway in 2018? Are the tools you use for modelling helping you to achieve your goals? Are you happy to recommend them?

Recommending a solution to others is the number one proof of satisfaction. If you’re not happy to recommend your current solution, you’re not satisfied. Leapfrog’s 2017 annual survey revealed 95% of users surveyed would recommend Leapfrog to a friend or colleague.

Seriously satisfied

As you can see from the satisfaction scores below, the majority of Leapfrog users surveyed are ‘satisfied’, and a large proportion of those ‘satisfied’ users are ‘very satisfied’

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Leapfrog EDGE pre-release feedback

‘What a modeller geologist always wanted’

Leapfrog EDGE is a resource estimation solution that supports and advances industry practices to meet today’s challenges. Designed in collaboration with the industry, Leapfrog EDGE has undergone years of development and refinement in readiness for its market launch in November 2017.

Nearly 200 geologists with a variety of different backgrounds, experience and job roles used Leapfrog EDGE as part of a pre-release programme. This blog outlines the results of a recent survey on their experiences.

This feedback is based on Leapfrog EDGE 1.0. We expect the increased functionality in the recently released Leapfrog EDGE 2.0 to add even more value and solve additional issues experienced in resource estimation.

Seamless integration with geology

A key feature of the software, introduced to address a need identified in the early research, is the seamless integration of the resource estimation process with the geological model. Leapfrog EDGE delivers an integrated workflow and ensures the resource estimate has a strong geological foundation. Nearly 90% of those surveyed agreed that Leapfrog EDGE provided this integration and that it improved their confidence in the final result.

Robin Simpson, Principal Consultant (Resource Geology) at SRK Consulting, Russia, told us, “Leapfrog EDGE is a pleasure to use and it is convenient to be able to stay within Leapfrog for many of the tasks I previously had to export to other software. I like the convenience of being linked to the geology model and it is more efficient to update the resource model with fewer hassles importing and exporting files.”

Federico Mera, Resource Geologist at Lundin Gold, Ecuador, had a similar experience, “Leapfrog EDGE is what a modeller geologist always wanted. It simplifies steps and removes the annoying processes that deviate from the main goal of understanding the geology. I’ve used other software to model resources but I never feel entirely comfortable because I’m concerned about importing, exporting, re-importing and changing file formats.”

Leapfrog EDGE’s dynamic updating feature, first introduced in Leapfrog Geo, allows users to add data or revise their interpretations at any stage in the workflow and the changes automatically flow downstream and update. This simple but substantial step enhances how users can manage change as they continue to interpret geology and make use of the latest information.

This dynamic updating is cited as a key advantage by many including Graham Greenway, Group Resource Geologist at Lundin Mining, UK, who says, “One of the most frustrating steps in the resource estimation process is having to run and re-do multiple steps if new data is added. When you add new data to Leapfrog EDGE the process automatically reworks itself.”

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A Three Letter Word that Sank a Thousand Mineral Projects

This post was written by Mike O’Brien, Geostatistician Seequent Expert Services (previously ARANZ Geo), based on his experiences working as a consultant on mineral projects

‘AND’ is a logic gate that sneaks up on mineral projects and destroys their value.

‘AND’ is a logical conjunction and, to grossly simplify, it implies the outcome of applying a series of factors in combination is only positive if each of the series of factors is positive. This logic gate controls a lot of things that we do. For example, (Exam passed by Jane) = (Jane goes to school) AND (Jane goes to exam venue) AND (Jane obtained pass mark). All three conditions have to happen for Jane to pass the exam.

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