Webinar – Drill & Blast Optimisation Using Digital Twin Models

Keep the industry moving forward in these uncertain times!

Due to popular demand PETRA is pleased to announce a second webinar focused on knowledge sharing around digital twin modelling with machine learning.

Join us on April 8th for – Digital Twin Modelling for Drill & Blast Optimisation, including a panel discussion and live demonstration.


  • Dr. Alan Tordoir, Drill & Blast lead at Anglo America
  • Dr. Sarma S Kanchibotla, Director Seshat Consulting
  • Dr. Penny Stewart, PETRA CEO
  • Hosted by Leon Morgan – PETRA head of Partnerships

Join world renowned Dr Sarma S Kanchibotla from Seshat Consulting, Dr Alan Tordoir, Drill & Blast lead at Anglo America and Dr. Penny Stewart of PETRA. See a live demonstration of PETRA’s digital twin for drill and blast simulations for downstream optimisation, panel discussion and Q&A.

MAXTA digital twin models use historical and current data from the entire value chain to learn how geology affects downstream processes, creating a new paradigm for prediction, simulation and optimisation of blasting, loading, crushing, grinding and recovery.

During the demo you will see how MAXTA Drill & Blast digital twin models simulate how geology and blast design affects downstream performance such as; digger/loader productivity, crusher and mill throughput, as well as energy consumption based on changes to drill and blast design.

Some recent customer feedback on MAXTA Drill & Blast implementations,

“Historic data supports me in my decisions”, and “like (how) it records all the data”.

About Dr Alan Tordoir

Dr Alan Tordoir has an undergraduate and masters degree in mining engineering from the University of Leeds, UK and a PhD relating to blast induced rock mass displacement from the University of Queensland, Australia. Alan has over 20 years’ experience in the mining industry in operational, consulting and applied R&D roles across various commodities in Africa, Asia, Australia, Canada and South America in both underground and open pit environments. He has held senior production roles in Mine Planning and Drill & Blast.

Alan was appointed Lead Drill and Blast for Anglo American’s Group Mining, Technical & Sustainability in March 2015. In his role, he led the successful deployment of technical solutions to digitize D&B data at 14 surface operations across the Group, strategically democratizing critical information and catalyzing incremental benefits to both safety and productivity targets. He is an advocate for technological solutions to leverage value opportunities and believes strong cross discipline collaboration is the critical to successful uptake and sustainable deployment.

About Professor Sarma S Kanchibotla

Professor Sarma S Kanchibotla has over 35 years of industrial and research experience in the fields of drilling, blasting and Mine to Mill process optimisation. He is one of the pioneers in developing the mine to mill concept in the late 1990’s and has implemented this philosophy at several major mining operations around the world.

He has developed models and tools to design and optimise drill and blast outcomes to maximise the value of Mine to Mill Value chain. He has also developed and conducted several training courses and workshops for drill & blast and mine to mill optimisation, and published over 70 technical papers (in various international conferences, journals and magazines), three theses and one book in the field of explosives and blasting and led several research projects.

About Dr Penny Stewart

Dr Penny Stewart is a mining engineer with over 20 years experience, including working as a drill and blast engineer at the Super Pit in the late 1990s. As part of her PhD on “Minimisation Dilution in Narrow Vein Mines” she developed original empirical drill and blast models to enable more accurate narrow vein stope design, and was the lead researcher on the University of Queensland’s Mass Mining and Technology III – Blast pre-conditioning project.

Through this work Penny experienced first hand the limitations of empirical fragmentation models and physics based rock breakage models, as well as the criticality of geological variability from micro-scale to rock mass scale to rock mechanical behaviour across the value chain. Together, this work ultimately inspired the first big data mine to mill project at Newcrest’s Telfer mine in 2015, which was the earliest version of a MAXTA digital twin model for mine to mill optimisation.

Free Webinar Details

Date: Wednesday April 8th 2020
Time: 8pm AEST

London – 11am
Perth – 6pm
Brisbane – 8pm
South Africa – 12pm



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