The complexity of ore bodies in their mineral composition makes it difficult to accurately characterize material and improve recovery. Opportunities to improve yield and recovery exist throughout mine operations from drilling and blasting (overbreak), to loading and hauling (dig limits), well before the ore arrives at the crusher. Recovery is also impacted by how stockpiles are managed, and how various materials (grades or contaminants) are blended into the plant.
Additionally, a significant portion of valuable minerals can be present as fines which are inherently harder to recover due to varied settling rates, surface interactions and other factors – increasing the challenges of efficient recovery. Adapting processing methods to efficiently handle these variabilities is essential.
Applying data analytics and machine learning algorithms to historical and real-time process data can reveal patterns, correlations, and insights that aid in optimizing recovery rates and predicting process behavior.
YCP Unison experts can work together with your teams to implement these technologies along with advanced process control systems – maintaining optimal operating conditions in real-time, along with consistent and improved recovery rates.
Get in touch with us to discuss your strategy needs and how we can help you develop a plan to accelerate your growth.
We work with your teams at the mine site level, to problem-solve your biggest operational challenges.
