Research Article
Walk-Through Corrosion Assessment of Slurry Pipeline Using Machine Learning
| | Minimum | Maximum | Mean | SD |
| Tonnage sag (t) | 8.78 | 404.39 | 342.65 | 65.15 | Flotation pulp temperature (°C) | 13.92 | 34.92 | 23.07 | 4.68 | Flotation pH | 7.47 | 9.33 | 9.03 | 0.27 | Residue flow (m3/h) | 18.54 | 495.97 | 437.59 | 90.22 | % solid residue | 0.02 | 46.13 | 23.54 | 10.17 | TPH-calculated residue | 0.02 | 301.95 | 141.31 | 68.20 | Pressure at km 0 (Psi) | 624.61 | 3439.54 | 2209.96 | 618.89 | T° at km 0 (°C) | 3.76 | 30.86 | 16.25 | 5.70 | Flow rate (m3/h) (Thompson River) | 30.00 | 381.19 | 207.72 | 110.66 | T° (Thompson River) (°C) | 0.99 | 20.45 | 13.42 | 6.04 | Flow rate (m3/h) (sedimentation basin) | 26.88 | 122.30 | 68.82 | 16.17 | T° (sedimentation basin) (°C) | 2.71 | 21.55 | 9.58 | 5.71 | Flow rate (m3/h) (South Park) | 0.04 | 369.80 | 168.89 | 95.23 | T° (South Park) (°C) | 0.73 | 16.23 | 5.21 | 4.53 | Pipe wall thickness (mm) | 5.75 | 6.01 | 5.84 | 0.03 |
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