Optimising Exploration While Minimizing Environmental Impact

Overview

Exploring for new resources is an art, especially if you want to keep the environmental impact at a minimum. For example, incorrectly planning your access ways through vegetation can cause delays and trigger environmental compliance costs. And increasing environmental, sustainability and governance (ESG) protocols can make exploration expensive.

Furthermore, there is the uncertainty in the ore body itself: what are its boundaries, how deep is it, how rich is it?

We will catalogue a range of data sources and use these to:

• Create a picture of the environment including terrain, vegetation and existing assets
• Plan roads for our operations at low environmental impact
• Build up a picture of the ore body
• Identify areas of uncertainty in the ore body for placement of drill holes

About the Presenter

Dr. Peter Brady is a Senior Application Engineer with a background in numerical simulation, analysis and high-performance computing.  Peter covers these areas of the MathWorks products as well as machine learning, deep learning and deployment.  He has worked on numerous projects for mining companies, including mets accounting, process modelling and plant optimisation.  Peter is allocated as a technical account engineer for a large Australian miner to provide a single point of contact as well as support for developing technical proofs, product deep dives and specialist support to MATLAB and Simulink users. Peter has a PhD in Mechanical Engineering and a Bachelors in Civil Engineering both from UTS and is a Chartered Practicing Engineer with Engineers Australia (CPEng NER).