Perform a bootstrap-style analysis using Leapfrog EDGE in just 5 steps

One simple yet effective method for testing estimation sensitivity is to run a bootstrap analysis. This is when 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 bootstrap 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.

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When time is your enemy, you need your software on your side

By Seequent Product Manager PJ Hollenbeck

All projects have their challenges, but those with a fast turnaround have a special set of problems and pressures.

A succession of accelerated construction deadlines may call for rapid iteration of geological models to meet the shrinking timelines. You might need to develop multiple hypotheses from the data you have, often in a very short space of time.

That would be ok if the software you were using was built from the ground-up specifically with geologic modelling in mind, but often it isn’t. Instead, you may be relying on tools co-opted from another industry or discipline and not intended for the ‘artform’ of geological modelling. Not only will that tend to make the initial modeling process slow and difficult, but when new data comes in – as it frequently will – it could take days, even weeks to update the model. Meanwhile, the project is already underway and costing money.

3D model

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Collaboration is easier when you can work directly with a range of data sources

By Seequent Product Manager, Pat McLarin

Collaboration is key in the success of any ground engineering or environmental services project.

However, while the teams involved may be keen to share their data, ideas and detailed designs with others on the site, the software they are using may have different ideas.

Human collaboration can be tripped up by the difficulty of getting different data formats to work together. That shouldn’t be the case, though it’s not hard to see why it happens.

Every stage of a project’s workflow requires its own software package. Ground investigations, topological surveys, GIS, engineering designs, geological and geotechnical models will all have their own variations as each specialist area has its own particular outcome to achieve. That will shape the data format, leading, inevitably, to many of those formats being incompatible.

This can make progressing from step to step difficult, costly and frustrating. Technical experts can waste valuable time manipulating data – sometimes manually, sometimes through multiple software packages – and risk losing key information along the way.
Leapfrog Works CPT data

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Mastering new tools for today’s resource estimation challenges

SRK’s Peter Gleeson talks about Leapfrog EDGE, our new resource estimation solution that’s quick to master and saves time without compromising on quality.

Peter Gleeson, an expert with thirty years’ experience in resource estimation and mining geology tells us what he likes about Leapfrog EDGE, where he sees the future of resource estimation heading and why tools like EDGE will become so essential.

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Tips for vein modelling with channel samples

By Antonio Garibaldi,  Zak Hynd and Ignacio Torresi.

This is written for those who are having trouble modelling veins with fragmented data, especially channel samples.

Leapfrog Geo’s vein tool was designed to work with drillhole data, ideally drillholes which intersect both walls of the tabular vein structure. If you are using the vein modelling tool with fragmented channel sample data you will find these tips and tricks helpful.

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Testing the ground for Australia’s record breaking tunnels

Before you start one of the largest bored excavation projects in the world, you need to be very sure of the ground beneath your feet.

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In preparation for the massive West Gate Tunnel project in Melbourne, Australia, it fell to geotechnical services firm Golder Associates to undertake a comprehensive investigation of the geological risk before work could begin.

Faced with a complex and often deceptive geology they employed the ground engineering 3D implicit modelling solution offered by Leapfrog Works to deliver an exhaustive assessment, then communicate its findings to a variety of stakeholders from a wide range of disciplines. What Leapfrog Works uncovered was to have a direct impact on the route the tunnels took, and the success of the contractors who used its data to shape their plans.

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As the world goes digital, is Civil Engineering losing the race for productivity, ideas and innovation?

It seems that whatever the industry, whatever the sector, you’ll hear the same rally cry: “we need to go digital”.

It’s become a 21st century business obsession with the promise of greater efficiency and productivity, faster and more sure-footed innovation and new ways of dealing with old problems. Not to mention the fact that many customers now clamour for digital solutions, drawn by the cost savings they can bring.

But even though the potential is vast, the pace of digital transformation varies considerably across different industries. So how is the Civil Engineering sector doing?

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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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