Case Studies

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Digital Stockpile Case Study

Digital Stockpile Case Study

Client: Major Copper Mine
The primary objective of the Digital Stockpile application is to provide near real-time accurate 3D ore control models of stockpiles for use in mine planning. The primary objective of the Digital Stockpile application is to provide near real-time accurate 3D ore control models of stockpiles for use in mine planning.

Pipeline Pumping Case Study

Pipeline Pumping Case Study

Client: Major Copper Mine
Copper mining operations are energy intensive and must ensure water availability for continuous ore processing. In Chile, this is set against a context of mining sites operating in areas of scarce water resources, reducing ore grade and increasing tensions in the price and supply of electricity. IntelliSense.io technology has been deployed at the Anglo American SAR Pipeline at Los Bronces Copper Mine, applying Machine Learning and physical models to real-time data to provide intelligent decision-making actions for the pump operations with the following expected benefits…

Material Model Case Study

Material Model Case Study

Client: JSC “AK Altynalmas”
The primary objective of the Digital Stockpile application is to provide near real-time accurate 3D ore control models of stockpiles for use in mine planning. The project objective for IntelliSense.io was to provide real-time insight into the material characteristics of the feed throughout the plant and to provide visibility on unmeasured stream properties. This knowledge is needed to maximise value in the processing plant.

Thickener Case Study

Thickener Case Study

Client: Gold - Copper Mine, ChileProject ObjectiveThe project objective for IntelliSense.io was to model and optimize the thickener circuit in real time, identify the root cause of variability and continuously predict set-point recommendations for optimal predictive...

Grinding Case Study

Grinding Case Study

Client: Pustynnoye Plant of JSC “AK Altynalmas” (formerly Aktogay)
JSC AK Altynalmas is a fully integrated mining company operating in the Republic of Kazakhstan. Aktogay (Pustynnoye) is one of the Company’s sites where solutions were much needed for debottlenecking the grinding circuit. The IntelliSense.io team was responsible for the following key tasks: reducing mill shutdowns through real-time predictions of ball charge and liner states, reducing the frequency of SAG mill overloads, and increasing the controllability of the grinding circuit.

Thickener Case Study with BASF

Thickener Case Study with BASF

Client: Concentrator Plant in WA
IntelliSense.io, in partnership with BASF, recently embarked on an Optimization as a Service (OaaS) partnership with a mineral concentrator plant in Western Australia (“the client”). The aim of this and other OaaS partnerships is to provide the client with the guidance and solutions required to unlock new operational value by means of digital transformation. This Case Study outlines and reports on the initial phases of this partnership with the WA-based client, and the results achieved thus far.

Intelligent Flocculant Dosing Case Study

Intelligent Flocculant Dosing Case Study

Client: In partnership with BASF
Creating a a real-time flocculant advisory with BASF. How IntelliSense.io’s Thickener Optimization Application turns BASF test work into a real-time flocculant advisory. Thickeners are applied in the industry as liquid-solid separation unit operations to achieve the following primary process objectives…