In this study, several methodologies to manage low grade and often competent portion of the ore have been proposed and tested in lab, pilot and operational scales. Relevant to this subject, the Cooperative Research Centre for Optimising Resource Extraction (CRC ORE) has developed Grade Engineering® (GE) concept to modify feed streams by rejecting the low grade and possibly hard components in the stream at the early stages of a value chain. Application of GE requires to understand the impact of the process on the value chain as they are value modifiers on in situ opportunities. Traditional modelling approaches and tools do not have the ability to run the analysis in a block model scale with high fidelity in an integrated value chain. Integrated Extraction Simulator (IES) in conjunction with sophisticated analytical tools such as a neural network (NN) was used to develop and reconcile a fully integrated value chain. The value chain model makes it possible to run all available blocks in the Geomet block model, which could be several millions, under possible scenarios for Grade Engineering for economic evaluation analysis and mine planning.
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Amini, E., Becerra, M., Bachmann, T. et al. Development and Reconciliation of a Mine Operation Value Chain Flowsheet in IES to Enable Grade Engineering and Process Mass Simulations for Scale-up and Strategic Planning Analysis. Mining, Metallurgy & Exploration (2020). https://doi.org/10.1007/s42461-020-00303-9
- Grade Engineering
- Integrated Extraction Simulator
- Neural network development
- Gangue rejection