Orebody learning is a process that involves using operational performance data to understand the orebody characteristics and optimize the mining process. It helps mining companies learn from their operational performance data by analyzing the data to identify patterns, trends, and relationships that can be used to improve mining operations.
Here are some ways orebody learning can help mining companies learn from their operational performance data:
- Predictive modelling: By analysing operational performance data, orebody learning can help mining companies predict future performance and identify potential issues before they occur. This enables companies to take corrective action and improve their operations.
- Process optimisation: Orebody learning can help mining companies optimize their mining processes by identifying the most efficient ways to extract minerals from the orebody. This can help reduce costs and increase productivity.
- Asset management: By analysing operational performance data, orebody learning can help mining companies optimize the use of their equipment and reduce downtime. This can help extend the life of equipment and reduce maintenance costs.
- Continuous improvement: Orebody learning can help mining companies identify areas where they can improve their operations and implement changes to continuously improve performance.
Overall, orebody learning is a valuable tool for mining companies looking to improve their operations by leveraging their operational performance data. By analysing this data and identifying opportunities for improvement, mining companies can optimize their mining processes, reduce costs, and increase productivity.
