Andrei Tyan

Center for Technological Development "Intellisense-LAB"

Andrei Tyan, Director of "Intellisense-LAB" which deploys the industrial AI applications platform in mining, oil and gas, energy sectors of Kazakhstan.

15.09.2021 11:30 - SESSION 4 | Online

Application of artificial intelligence to optimize technological processes in the mining industry

The IntelliSense Grinding Circuit Optimization application has been piloted at the Aktogay Plant of JSC "AK Altynalmas".

The team was responsible for the following key tasks: reducing mill shutdowns through predictions of ball charge and liner states, reducing the frequency of SAG mill overloads, and increasing the controllability of the grinding circuit.

A Digital Twin of the SAG mill was created which enables improved monitoring, performance prediction, and optimization to increase profitability. A combined first principle and machine learning model virtually monitors and predicts ball charge to keep it in the optimal range for throughput and operating effectiveness without having to stop the mill for inspections. A Material Model was created to provide visibility of streams that cannot directly be measured, providing increased control of the circuit for operators. An Overload Model predicts the probability of an overload occurring in real-time, allowing early interventions to keep throughput consistently high.