✨ Exciting news - We've teamed up with AusIMM and GEOVIA's Carlos TAPIA to present an insightful webinar on how to effectively apply hierarchical simulation techniques in strategic planning to enhance value and risk management.
General Information:
Date: 24th August 2023
Time: 3 PM - 4 PM AEST
Registration: LINK
Topic: Enhancing Resilience and Value in Uncertain Times: Long-Term Risk Management with Hierarchical Simulation
Abstract: The mining sector faces many economic, geological, and political uncertainties that significantly impact its performance.
While controlling uncertainties is elusive, the crucial aspect lies in assessing and managing the risks they induce to ensure long-term performance and resilience. Achieving this requires integrating and simultaneously assessing diverse data sources, including discrete and time-series data.
However, this makes the process slow, evaluating only a few scenarios effectively. Many scenarios fail to comprehensively capture uncertainties and stochastic fluctuations, creating even more uncertainty about the best long-term asset configuration.
To effectively overcome these challenges, Hierarchical Simulation emerges as an innovative solution. This cutting-edge technique accurately mimics physical and time-related phenomena, enabling the evaluation of thousands of feasible scenarios within complex models.
As a result, mining operations are empowered to navigate uncertainties, mitigate risks, and unlock even greater long-term value. Embrace the future of mining optimisation with this transformative tool, driving intelligent decision-making in an industry surrounded by uncertainties.
Presenter Details:
Dr. @CT, GEOVIA Senior Industry Process Consultant, Dassault Systèmes
Dr. Tapia is an experienced mining engineer, academic, and researcher with more than two decades of hands-on experience in various areas, including production, planning, consulting engineering, technology, market intelligence, and even Off-Earth mining and telecommunication environments.
Throughout his career across multiple countries, Dr. Tapia has held several senior positions, demonstrating his versatility and expertise. He has served as a general manager, principal planning engineer, project lead consultant, principal technology engineer, project valuation leader, and principal mining expert in multinational companies gaining invaluable insights into all aspects of the mining industry, from mine operations to port logistics.
Dr. Tapia holds a PhD in Mining Engineering – Mineral Economics from UNSW Sydney. His specialisation is in market behaviour and the use of AI, Machine Learning, and Stream Data Mining in mining, focusing on forecasting, pattern recognition, optimisation, and automation. Additionally, he serves as an Adjunct Associate Professor at the UNSW Sydney, contributing to advancing mining knowledge, technology capabilities and education of mining professionals.
About AusIMM:
The Australasian Institute of Mining and Metallurgy (AusIMM) is the peak body and trusted voice for people working in the resources sector. AusIMM shapes careers, showcases leadership, creates communities, and upholds industry standards. Representing a global community from 110 countries, they are committed to supporting people working in all aspects of the mining industry.
AusIMM was founded in 1893 and operates under a Royal Charter. They have a global community of members, branches and societies, along with influential partnerships with industry, government, education and the community.
They offer outstanding professional development opportunities including world-class mining conferences, leadership events, online learning and industry news to help build and accelerate careers. They host local and global networking opportunities to connect professionals with common goals and interests and help build their profiles.
As a welcoming and inclusive organization, AusIMM is committed to representing all people in the mining industry and improving environmental, social, and economic outcomes in the sector, now and for generations to come.
