Discover how Golden State is helping operators, metallurgists and operations managers achieve production targets and transform production meetings with real-time Short Interval Control in 2026.
Still drowning in plant data? Discover how Golden State helps mineral processing teams move from chaos to clarity with real-time, contextualised insight.
Learn how metallurgists and superintendents are using Golden State to reduce variability and standardise decision-making in mineral processing in 2026.
Discover why process variability is still the silent killer in a mineral processing plant and how Golden State helps metallurgists reduce process variability in mining operations with real-time insights and decision support in 2026.
AI in mineral processing is no longer a future concept – it’s happening now. From predictive maintenance to generative reporting and agentic decision-making, this article breaks down what each AI type means for your plant. Whether you’re just starting your digital journey or looking to optimise operations, understanding these tools is key to staying competitive.
An interview with Eddie de Rivera, Brian Forrester, Steven Cohen, and Garry McGrechan 5 minute read Introduction: Australia’s iron ore engine – opportunity and scale
The Industrial Internet of Things (IIoT) has revolutionised the industrial landscape, creating a seamless web of interconnected devices. Imagine a mining operation where every machine
Control system upgrades in brownfield mineral processing plants are high‑stakes work, with legacy hardware, hidden risks and tight shutdown windows all threatening production and budgets. This guide cuts through the complexity with practical strategies operators can use to assess ageing systems, manage risk, plan phased implementations and bring teams along for a smoother transition to modern automation. It’s about modernising without causing mayhem on site.
Over the past decade, automation has swept through control rooms, transforming mineral processing plants’ operations. Advanced process control (APC), machine learning algorithms, and digital twins are slowly becoming mainstream tools.
Leaching is a cornerstone of hydrometallurgical processing, particularly in copper and gold extraction. While the basic principle — using a solvent to dissolve valuable metals from ore — seems straightforward,
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