IM 2019 IM May 19 | Page 48

MINING CHEMICALS Orica’s LeachIT™ – a process simulation software consultation with a customer DigitaI chemistry From the first digital platform for reagent optimisation to investment in rail transport for sulphuric acid logistics, Paul Moore reviews trends in the mining chemicals industry igitalisation is coming to all aspects of the mining industry and mining chemicals are no exception. Solvay recently announced the successful launch of SolvExtract™, a first- of-its-kind app-based digital platform for mining operations, with Chile’s Codelco, the world’s largest copper producer. Solvay says SolvExtract™ connects chemistry and operational insight, “bringing Solvay’s technical expertise in mining chemistry to customers at an unprecedented speed and frequency. It enables them to make more informed decisions faster, thus reducing process variability, boosting productivity and improving their bottom line.” SolvExtract™ is just the first of Solvay’s new digital solutions for mining operations, it says, and the only digital platform today dedicated to reagent optimisation. The platform enables data flows between a mining operation and Solvay’s D proprietary MINCHEM ® solvent extraction (SX) modelling software. Using this software, Solvay personnel are able to monitor key variables of the SX plant, such as copper recovery and copper transfer, comparing actual values and trends to model predictions, to identify and analyse deviations. Leveraging a dashboard, custom alerts and expert analysis, Solvay quickly notifies plant operators when issues arise and offers recommendations through the platform. Via SolvExtract™, plant personnel can engage in dialogue with Solvay to support continuous improvement and enhance the quality of future suggestions. “SolvExtract™ has helped the Gabriela Mistral plant validate operational performance and will support us in identifying opportunities for continuous improvement,” shared Rodrigo Benavides Oswald, Codelco Innovation Director. “Through SolvExtract™, Solvay has proven to be a partner to the plant by providing deeper, more frequent insight, which has positively influenced our daily decision making.” “As available ore grades decline, mines are looking for ways to maximise the amount of copper extracted from each ton of ore,” explained Chuck Price, Executive Vice President of Solvay’s Mining Solutions business. “SolvExtract™ utilises a new generation of data-gathering and analytics capabilities – along with Solvay’s reagents, applications expertise and customer feedback – to help SX plants reach their true potential.” In detail, the SolvExtract™ tool receives data routinely measured from the SX plant including flow rates, organic extractant concentrations, PLS and electrolyte compositions. Data inputs are customer specific and are able to accommodate the range of Cu SX circuits found in industry (parallel streams, bleeds, blends, etc). The SolvExtract™ tool first performs calculations to confirm the validity of the data to make sure it is suitable for analysis. The theoretical plant performance is then simulated using MINCHEM ® . When performance is below the plant’s operating targets, the actual performance is compared to the MINCHEM model to identify the source of the problem – either process conditions are such that metallurgically it is not realistic to meet the recovery target; or something is interfering with the plant’s ability to meet the recovery that is possible under the given process conditions. If current process conditions are insufficient to achieve the plant targets, multiple variables are analysed to determine what specific recommendations could be made to return the plant to the target. Practical constraints of the specific customer’s plant design are considered. Some potential recommendations to correct low Cu recovery or low Cu transfer may include but are not limited to: n Increasing the organic flow rate n Increasing the lean electrolyte flow rate Solvay’s SolvExtract™ is a first-of-its-kind app-based digital platform for mining operations. It monitors key variables of the copper SX plant, such as copper recovery and copper transfer, comparing actual values and trends to model predictions, to identify and analyse deviations 42 International Mining | MAY 2019