Extractive Metallurgy in the Digital Age: How to get value from the 4th Industrial Revolution 

Short course dates: currently canceled

Course description 

Environmental restrictions and low grades require a new approach to the operational management of mining companies and their remote operations. The speed of computers and networks creates a new opportunity to proactively configure systems to avoid operational production, energy and consumables losses, to maximize yields and to be friendlier with the environment. The traditional operational systems require a new type of support to maximize recovery and reduce energy, water, and reagent costs.  Currently remote operations support can integrate metallurgical industrial complexes from raw materials to product delivery. People can work remotely supporting operations and staying safe and healthy. Today’s companies can increase productivity by developing predictive models to detect hidden losses in production, energy and water from equipment, ore/concentrate type, and unmeasured disturbances. People call this strategy tracking money losses in order to survive. 

Intended audience

  • Process Engineers
  • Mining Engineers
  • Plant Managers
  • Technical Support
  • Students of Chemical, Metallurgical, Electrical, Environmental Engineering

The course aims to present the great opportunities that exist in the extractive metallurgical industry for the integration of data from mineral processing, extractive metallurgical operations, laboratory, weather monitoring and planning information mining and geo metallurgical data. Attendees will be trained in how to transform data into information to avoid production losses.  They will learn to use the latest advanced data analysis and predictive analytics for operational support and optimization of the supply chain.  Examples of industrial cases will be shown. It is suggested that attendees have the plant process diagrams so that they can create a digital twin of their operations. 

Course organizer: Osvaldo A. Bascur, OSB Digital, LLC. and Seeq 

Schedule:

Dr. Osvaldo A. Bascur is a Chemical Engineer and Metallurgical Engineer at the University of Concepción. PhD in Metallurgical Engineering from the University of Utah, Salt Lake City, Utah. Worked with Duval Corporation with Process Control Engineer; He was Manager of the Continuous Improvement Group (now Freeport McMoRan) in Tucson, Arizona and then as Director of the Process Control and Optimization Group for Pennzoil in Houston Texas. He currently works at OSB Digital, LLC as Principal advising clients on their Digital Transformation in Industrial Complexes. He is Consultant fellow for Seeq Advanced Analytics which take the real time series data to build predictive analytics models. The key is to avoid trespassing operational and equipment constraints depending on the mineral ore types and enabling to maximize the metal recoveries. Recently, he has designed a template for the Digital Transformation of Process Plants. This template transforms data into Information for use by people, systems and enables the modeling of industrial processes. It facilitates the use of new predictive modeling and artificial intelligence tools. He developed a Blue Print for the integration of operational data for the optimization of industrial plants. In 2013, he received the most prestigious Antoine Gaudin Award from the Society of Mining and Metallurgical Engineers, Dr. Bascur has published more than 95 technical works, two books and several chapters of engineering books were published. In addition, Dr. Bascur is a member of the following engineering companies: SME, AIST, AIChE, IFAC MMM and IMPC.

Registration

(all prices are in Canadian dollars with Quebec tax added at checkout)

Non-Member Price: $499*
CIM Member Price: $449
CIM Student/ Recent Grad price: $229*

*Note
Students who want to benefit from this rate, must be or must purchase a student CIM membership with identification.
For CIM membership number validation or to contact the membership department send an email at membership@cim.org

Virtual Platform

This course will be provided online with live Q&A from the presenters. It will be hosted on GotoWebinar platform and requires the attendee to register their name and email to gain access. Once you have processed your payment, complete your registration by proceeding to the instructions provided in your confirmation email on entering your name and email to the online event.