Research Article
Applications of Artificial Intelligence for Static Poisson’s Ratio Prediction While Drilling
Table 3
Statistics of the obtained dataset.
| Parameter | WOB (klbm) | T (klbf.ft) | SPP (psi) | RPM | ROP (ft/hr) | Q (gal/min) | νst |
| Minimum | 1.54 | 4.55 | 2140.20 | 77.94 | 27.41 | 697.31 | 0.17 | Maximum | 25.48 | 10.68 | 3075.56 | 162.49 | 119.57 | 854.01 | 0.43 | Mean | 15.39 | 7.83 | 2634.51 | 138.62 | 76.39 | 803.07 | 0.25 | Mode | 1.54 | 4.55 | 2140.20 | 77.94 | 27.41 | 697.31 | 0.17 | Median | 16.27 | 8.25 | 2685.02 | 139.15 | 79.90 | 809.77 | 0.20 | Standard deviation | 6.44 | 1.65 | 205.33 | 11.08 | 19.15 | 48.38 | 0.08 | Skewness | -0.37 | -0.37 | -0.78 | -1.98 | -0.55 | -1.19 | 0.50 | Kurtosis | 2.15 | 1.91 | 2.53 | 10.81 | 2.41 | 3.17 | 1.39 |
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