Mine water decisions are becoming more complex as climate uncertainty grows and engineering models remain fragmented. Connected digital workflows can reduce manual handovers, improve consistency and traceability, and help mining teams test risks, costs and environmental considerations with greater confidence.

icn-01

Connected modelling workflows reduce repetitive manual steps and support more consistent, traceable analysis.

icn-02

Integrating groundwater, geochemical and water-balance models helps teams evaluate interacting risks and opportunities.

icn-03

Better-structured data and forecasting tools allow engineers to focus on uncertainty, adaptation and complex judgement.

icn-04

Digital capability is most valuable when it strengthens, rather than replaces, established engineering expertise.

img-reshaping-mine-water-decisions-1

Example of an automated reporting tool to streamline standardised reporting, decreasing effort, managing QA/QC requirements and reducing potential for human error.

   

img-reshaping-mine-water-decisions-2

WSP developed an unsupervised machine learning program to estimate decant pond extents from satellite imagery, allowing data infill for stored water volumes on infrequently monitored TSFs.

   

img-reshaping-mine-water-decisions-3

Example workflow of WSP tool linking groundwater and water balance modelling.

    

Contact us

nigel-moon-wsp
Nigel Moon
Technical Executive, MA Mine Advisory - Mine Water
Australia
Show more Show less

Author

nigel-moon-wsp
Nigel Moon
Technical Executive, MA Mine Advisory - Mine Water
Australia