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Conference Proceedings

Iron Ore and Open Pit Operators Conference Proceeding 2026

Conference Proceedings

Iron Ore and Open Pit Operators Conference Proceeding 2026

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High-resolution 3D models of ground conductivity in a channel iron deposit to de-risk production scheduling

A two-month survey program to provide high-resolution imaging of the near-surface lateral and vertical changes in ground conductivity, related to clay content and moisture content in a channel iron deposit (CID), was undertaken at a mining hub in the Pilbara, Western Australia. The primary aim of the survey was to map high risk ore, including from a materials handling and product quality perspective. A secondary aim was to map deeper channel morphology. The survey was conducted using a time-domain electromagnetic (TEM) system towed behind a light vehicle. Data were acquired in grids using a line spacing of 5 m. Survey areas were prepared as flat surfaces with major obstacles such as windrows and dewatering pipelines removed to maximise data coverage and acquisition efficiency. Post-processing of the data resulted in 3D block models of ground conductivity with smallest voxel cell dimensions of 2.5 × 2.5 × 1 m. When compared against probe drilling at 20 × 20 m spacing, the assessment has shown that higher conductivities correlate reasonably well with elevated moisture and clay, which can be well distinguished from lower conductivities, at a higher vertical and lateral resolution than probe drilling. This improves confidence in the ability of the mine to recover ore from select portions of the high-risk locations, whilst reducing risk of negative impacts to processing and product quality. Further, the two-month program has highlighted that the survey work can be successfully integrated into the operational cycle, with fast-turnaround results to be included in mine planning.
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  • High-resolution 3D models of ground conductivity in a channel iron deposit to de-risk production scheduling
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  • Published: 2026
  • Pages: 6
  • PDF Size: 0.485 Mb.
  • Unique ID: P-05442-Z5M8H9

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