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Level: Introductory 

Facilitators:  Vicente Rafael Gaviria, SK Godelius | Andres Alvarado, SK Godelius  

This course is designed specifically for mining companies looking to adopt low-risk innovations by integrating mature technologies that deliver measurable improvements in safety, sustainability, and productivity. Participants will discover how AI-powered systems, real-time analysis, and data-driven maintenance strategies and tools can significantly reduce downtime, increase productivity, and drive more efficient decision-making. 

The course will also highlight advanced inspection and sampling solutions that can be quickly implemented with minimal disruption, allowing mining companies to maintain operational efficiency while safeguarding environmental standards. By leveraging collaborative co-development and integrating future-proof technologies, mining companies can stay ahead of the curve without the high risks associated with developing new technologies. 

Mining professionals will leave this course with practical knowledge on how to integrate AI-powered and data-driven systems that improve safety, enhance environmental performance, and position their operations for long-term, sustainable success. 

Short Course Objectives: 

• Understand Low-Risk Innovation for Mining: Learn how to integrate mature technologies that offer proven solutions tailored for the mining industry, without the risks and costs of new developments.  

• Enhance Safety and Sustainability in Mining: Explore how automation, AI, and real-time analysis can improve safety measures, reduce environmental impact, and help mining companies achieve sustainability goals.  

• Boost Productivity and Minimize Downtime: Discover ways to significantly decrease downtime and boost productivity by implementing data-driven maintenance and AI-powered real-time analysis to streamline decision-making in mining operations.  

• Leverage AI for Operational Efficiency: Understand how AI-powered systems and real-time reporting can optimize operational visibility, reduce repetitive tasks, and drive smarter decisions in the mining sector.  

• Collaborate for Innovation in Mining: Learn how co-development and collaborative innovation with technology partners can lead to faster implementations of mining solutions that meet specific operational needs.  

• Future-Proof Mining Operations: Gain insights into integrating future-proof technologies that prepare your mining operations for long-term success, while automating repetitive tasks and manual processes.  

• Innovative Inspection and Sampling Solutions: Explore advanced inspection and sampling technologies designed for mining, which can enhance performance, minimize operational risks, and ensure environmental compliance. 

Target Audience:  

• Mining Executives and Decision Makers: CEOs, COOs, and Directors who are responsible for strategic decision-making around technology adoption, safety, and sustainability.  

• Operations Managers: Individuals who oversee the day-to-day mining operations and are interested in improving productivity, reducing downtime, and optimizing safety.  

• Maintenance and Engineering Managers: Those involved in equipment maintenance, safety inspections, and operational efficiency, especially interested in data-driven maintenance and real-time analysis.  

• Innovation and Technology Officers: Professionals responsible for bringing innovative solutions to their mining operations, particularly those focused on integrating AI-powered and future-proof systems.  

• Sustainability and Environmental Managers: People who focus on reducing environmental impact and improving sustainability practices, especially in the context of inspection, sampling solutions, and low-risk innovations.  

• Health, Safety, and Environmental (HSE) Officers: Professionals responsible for ensuring safety standards and regulatory compliance, interested in innovative ways to improve safety measures in mining environments.  

• Students: Interested in a career in new mining technologies.  

• Mining-tech start-ups: Companies that can benefit from our experience in low-risk innovation. 

About the instructor:  

Andrés Alvarado is a Project Leader, Electronic Civil Engineer, Product Development & Field Robotics Expert, and Electronic Civil Engineer from the Federico Santa María Technical University. He has 12 years of experience in mining designing machinery that integrates new technologies such as artificial vision, thermography, x-rays and laser. He has invention patents in Chile, the United States, Peru and Australia. Some of the projects he has led as Head of Automatic Control include:  

- Robotic soil sampling development for ERG in Saudi Arabia.  

- Robotic conveyor belt inspection in Chile, Zaldivar Mine.  

- Surface, on-line inspection of copper cathodes using artificial vision, Mineras Spence, Cerro Colorado, Minera Escondida.  

- Online inspection of conveyor belts using artificial vision, Codelco-El Teniente.  

- Remote monitoring (1000m) of leach heaps using thermography, Spence.  

- Online inspection of conveyor belts using X-rays, R&D project with financing CORFO.  

- Online measurement of movements of SAG mill foundations during starting using laser, Codelco-Andina.