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

What are the factors that drive community support for mining projects?

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In this era where corporate social responsibility and sustainability programs are essential aspects of mine management and planning, community engagement is essential for mine management throughout the mine’s life cycle. One of our goals during community engagement is to understand … Continue reading

Applying statistics in mine engineering using Excel: Part 2 — Regression

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In the second part of this series, I intend to show how to use the Excel data analysis toolpak to do more advanced linear regression analysis. If you did not get the chance to read the first installment of this … 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

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