MAXTA predicts gold recovery at Ban Houayxai
The Problem: In 2018, PanAust’s Ban Houayxai gold-silver operation in northern Laos faced a challenging issue: infrequent episodes of […]
Read More… from MAXTA predicts gold recovery at Ban Houayxai
Enable mining operations to systematically learn geometallurgy using operational performance data and orebody learning
Achieve more accurate predictions of plant performance in the block model
Add new high accuracy orebody learning variables to the block model using data fusion ore tracking and machine learning
Consistent and reliable metal recovery estimates in your block model provides confidence in decision making, plant operations and an ability to improve.
Understanding and predicting plant performance for different ore types can be difficult and the mine feedstock is not always consistent.
MAXTAGeomet builds a digital twin through orebody learning powered by machine learning data fusion ore tracking. This uses existing mining and operating data equating to thousands of tonnes of ore mined and processed.
This creates a feedback loop between real plant performance and orebody knowledge for accurate estimation of metal recovery in your block model.
Achieving consistent plant throughput is a significant operating KPI. Understanding ore variability and how it impacts throughput is critical in achieving throughput targets.
MAXTAGeomet adds new high accuracy plant throughput variables to the block model using mine operating data.
Through data fusion ore tracking and machine learning, a digital twin model connecting ore properties in the block model and actual plant throughput is created. This allows more accurate prediction of plant throughput in the block model.
When utilised by scheduling and planning engineers they are able to produce more accurate plans across all planning horizons. Additionally, when MAXTAGeomet is combined with MAXTABlendOptimiser scheduling engineers can evaluate and/or optimise their short-term schedule and blends on downstream processes such as throughput and recovery.
Breaking rock by crushing and milling is costly and very energy intensive - it represents up to 40% of total operating costs.
Optimising blasting and comminution circuit performance together to meet energy use targets for the various rock types within the orebody can generate significant value for the whole operation through better overall energy efficiency.
Using MAXTAGeomet, you can correlate your unique geology with actual plant energy usage data to define, predict and plan energy consumption before any rock is blasted.
The Problem: In 2018, PanAust’s Ban Houayxai gold-silver operation in northern Laos faced a challenging issue: infrequent episodes of […]
Read More… from MAXTA predicts gold recovery at Ban Houayxai
The Problem: A very large iron ore operation in Australia with multiple AG mill grinding and processing trains required […]
Combine with MAXTA to add insights, automation and optimisation to each digital twin application
Increase productivity, recovery and energy efficiency by showing engineers and supervisors how they achieve their ‘best performance’ through better informed mine scheduling and planning.
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