Research Article
[Retracted] Prediction of the Least Principal Stresses Using Drilling Data: A Machine Learning Application
Table 1
Descriptive statistical analysis of the dataset used in this study.
| Parameter | Q (gpm) | SPP(psi) | T (kft.lbf) | WOB (klb) | ROP (ft/hr) | σmin (psi) | σmzx (psi) |
| Minimum | 191.54 | 1748.58 | 2.60 | 5.75 | 3.20 | 11240.43 | 12308.02 | Maximum | 289.92 | 3252.60 | 3.79 | 18.94 | 73.17 | 12361.17 | 14599.67 | Range | 98.38 | 1504.02 | 1.19 | 13.19 | 69.97 | 1120.74 | 2291.65 | Mean | 242.15 | 2759.52 | 3.07 | 10.31 | 22.27 | 11855.70 | 13731.48 | STD | 20.12 | 342.65 | 0.26 | 3.10 | 12.02 | 302.36 | 487.08 | Skewness | −1.31 | −1.12 | 0.95 | 0.76 | 1.05 | −0.15 | −0.42 |
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