821 static design assumptions progressively lose validity. Sustained value creation therefore requires a dynamic, data-driven framework capable of detecting, quantifying, and responding to variability in a systematic manner. Geometallurgy provides this framework. By building high-resolution, spatially representative databases of ore attributes, operations can develop predictive models to rapidly approximate ore competency, mill throughput, and flotation response from routinely available multi-element geochemical data. This transforms ore characterisation from a reactive diagnostic tool into a predictive capability that informs both short-term operational decisions and life-of-mine strategy. In this context, blasting, blending, and processing are no longer isolated optimisation exercises, but coordinated levers within an integrated system. Error! Reference source not found. presents a proposed workflow integrating Mine-to-Mill and geometallurgy as a roadmap toward sustainable process integration. Their shared foundation is a rigorous and reproducible ore characterisation methodology capable of capturing variability across the deposit at the appropriate spatial and temporal resolution. When systematically linked to plant performance, this foundation establishes a continuous feedback loop between geology, mining, and processing. The vision is clear: a fully integrated value chain in which ore variability is anticipated rather than reacted to, operational flexibility is proactively deployed, and process integration evolves in step with the deposit. In such a framework, Mine-to-Mill becomes not a one-off optimisation project, but a living system embedded within a broader geometallurgical strategy—delivering resilient performance, reduced risk, and maximized value over the life of the operation.
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