Blend Optimisation Workspace
Current shift/day plan for Gamsberg · AI-assisted stockpile allocation.
Within spec
Planned tonnes
32,000 t
target 32,000 t
Throughput proxy
1333 t/h
based on 24-h plan
Recovery proxy
88.5%
model estimate
Revenue vs baseline
+$180
penalties $0
Plan Definition
Zn
Pb
SiO₂
S
BWi
Recommended Allocation & Sequence
| Seq | Stockpile | Zn / SiO₂ | Tonnes | Share | Lock |
|---|---|---|---|---|---|
| 1 | ROM Pad A1 — High Grade SP-A1 · 48,200 t avail. | 9.8% / 18.5% | 34% | ||
| 2 | ROM Pad A2 — Medium Grade SP-A2 · 62,500 t avail. | 6.4% / 24.1% | 44% | ||
| 3 | Blending Pad B1 — Siliceous SP-B1 · 18,900 t avail. | 4.1% / 33.7% | 16% | ||
| 4 | Long-term LG Stockpile SP-LG · 142,000 t avail. | 3.2% / 38.2% | 6% |
Contribution by stockpile
Predicted quality vs targets
Quality Risk Assessment
| Attribute | Predicted | Target range | Status |
|---|---|---|---|
| Zn | 7.01 % | 6.5 — 8.5 % | Within spec |
| Pb | 0.97 % | 0.6 — 1.4 % | Within spec |
| SiO₂ | 24.56 % | 18 — 28 % | Within spec |
| S | 11.4 % | 6 — 14 % | Within spec |
| BWi | 14.71 kWh/t | 13 — 16 kWh/t | Within spec |