Project Challenge
During the BHP Jansen Potash Project’s prefeasibility studies, mining, hoisting, processing and outbound logistics needed to be evaluated as an integrated production system. Decisions about equipment capacity, infrastructure sizing and redundancy could affect performance elsewhere in the value chain.
The objective was to quantify mine-to-market production capacity and compare engineering and operating alternatives by their contribution to delivered production and project net present value (NPV). Competing designs and operating strategies were evaluated before major capital commitments, allowing local equipment decisions to be considered alongside their wider production and financial consequences.
Modelling Approach
The discrete-event simulation represented the production chain from mining and hoisting through processing, rail transport, port operations and delivery to market. Mining rates, equipment availability, buffers and hoist constraints were assessed together with processing configuration, downtime, maintenance and redundancy.
The logistics scope included train movements, inventories, unloading and shiploading. Demand timing, customer orders and outbound product inventories connected the physical production system with market requirements.
The analysis captured storage constraints, production variability and interactions between mining, processing and logistics. This integrated representation supported bottleneck identification, comparison of capital configurations and assessment of how operating changes would affect performance across the full production system.
Decisions Supported
Published research describes how the modelling informed hoist and mill sizing, equipment redundancy, bypass provisions and maintenance strategies. It also supported deferral of approximately $300 million in second-shaft equipment and headframe expenditure.
Storage decisions illustrated why individual asset savings needed to be assessed against overall project value. The analysis showed that a proposed $10 million stockpile saving would reduce project NPV by $33 million.
These comparisons provided a basis for evaluating capital and operating alternatives according to their effect on saleable production and project value, accounting for constraints and variability throughout the mine-to-market system.
Outcomes and Applications
The published prefeasibility findings report a 15–20% increase in estimated Stage 1 production capacity, with approximately two-thirds attributed to modelling. Projected production gains were associated with approximately $500 million in estimated Stage 1 NPV improvement. These figures describe planning estimates and decision impacts, rather than realized operating savings.
The broader finding was that the lowest-cost design for an individual asset is not necessarily the best investment for the project. Integrated simulation supported assessment of production capacity, reliability and logistics interactions before committing capital, revealing trade-offs that could be missed when evaluating assets independently.
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