How can we leverage big data technology to run efficient mines?

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This week, I had a conversation with a colleague that led me to think about how little we are using the available data at mines to facilitate better decision-making. And, consequently, how little advantage we take of the large amounts … Continue reading

Applying statistics in mine engineering using Excel: Part 1 — Comparing two data sets

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Most engineers I know do not apply advanced statistical tools in their work. Whatever the reasons this, it is a detriment to engineering work. In this series, my goal is to show some applications of these techniques to mine engineering … Continue reading

Do operators have an effect on energy efficiency of mining operations?

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As promised in my last post, I want to share with you, in detail, the work we presented at the 2013 Annual SME Conference in Denver, CO. The goal of this post is to expand on the summary and slides … Continue reading

Assessing uncertainty: What is the most important variable?

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Many mine engineering analyses involve uncertainty due to variability in input variables. Simple methods can be effective in some cases but can be limiting in others. Regardless of what approach one takes it is important to focus such analyses on … Continue reading

Of chance, uncertainty & randomness — Part 3: Applications & Mishaps

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In this three part series, I have attempted to explain Monte Carlo simulation and how it is used to evaluate uncertainty using a stochastic model. In Part 1, I explained the mechanics of the technique and then discussed distribution fitting, … Continue reading

Of chance, uncertainty & randomness — Part 1: Monte Carlo simulation in engineering analysis

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Monte Carlo simulation is a popular technique in engineering analysis because of its ability to efficiently handle uncertainty in complex models. Yet it is not understood by many engineers and is often misused. In this series, I will attempt to … Continue reading