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Grinding and Flotation Optimization Using Operational Intelligence

In recent years, metal-producing companies have increased their investment in automation and technological innovation, embracing new opportunities to enable transformational change...

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Collaboration at the Enterprise using Real Time Data Analysis: From Data to Action

Intelligent System (IS) technologies are receiving much attention in a wide range of process engineering applications from plant operations to enterprise-wide competence centers.

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Metallurgy Analytics: Transforming Plant Data Into Actionable Insights

The advent of the digital revolution has now enabled us with numerous tools that could be leveraged to transform our operational data into actionable insights.

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Dynamic Model-Based Flotation Performance Monitoring

Froth flotation is widely used for the separation of particulate materials in the world. It is a complex process whose operational behavior in process plants is difficult to predict.

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Grade Recovery Optimization Using Data Unification and Real-Time Gross Error Detection

The efficient operation of any modern metallurgical facility depends on the accurate measurement and estimation of flow rates, inventories, and the composition of their intermediate and final products.

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Maximizing copper production by proper water management using a Digital Twin

Mineral processing plants processing low-grade ores require large amounts of energy and water to operate in a sustainable and profitable state.

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Measuring, Managing, and Maximizing Refinery Performance

Implementing continuous quality improvement is a confluence of total quality management, people empowerment, performance indicators, and information engineering.

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Real-Time Information Management Infrastructure – Collaboration at Mine-Mill for Asset Optimization

Recent advances in industrial automation require a new approach to get plants to reduce their start-up times and adapt to the varying ore types.

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Measuring, Managing and Maximizing Performance in Petroleum Refineries         

The implementation of continuous quality improvement is the confluence of management quality, people empowerment, the use of performance indicators, and information engineering.

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Operational Decision Support for Low-Grade Mineral Processing Plants

Ores are becoming extremely variable with mineralogy and hardness disturbing the integrated crushing, grinding, flotation, and thickening processes.

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