Research Article
Application of Artificial Intelligence Techniques in Predicting the Lost Circulation Zones Using Drilling Sensors
Table 2
Statistical analysis of all the parameters in Well A.
| | Parameter | FLWOUT (%) | HKHT (ft) | HKLI (klbf) | FLWPMPS (gal/min) | ROP (ft/h) | RPM (RPM) | SPP (psi) | TORQUE (kft·lbf) | WOB (klbf) |
| | Minimum | 0 | 0.218 | 160.946 | 721.000 | 9.260 | 49.720 | 1002.727 | 4.480 | 5.128 | | Maximum | 54.480 | 88.323 | 249.116 | 1201.800 | 200.408 | 100.280 | 2753.440 | 14.344 | 68.372 | | Mean | 9.664 | 44.615 | 191.665 | 1072.861 | 54.497 | 73.125 | 2193.087 | 8.686 | 49.335 | | Range | 54.480 | 88.105 | 88.170 | 480.800 | 191.148 | 50.560 | 1750.713 | 9.864 | 63.244 | | Mode | 0.000 | 63.043 | 200.476 | 1006.000 | 18.060 | 80.000 | 2459.280 | 8.696 | 58.956 | | Skewness | 1.028 | -0.051 | 0.749 | -0.350 | 1.571 | -0.034 | -0.794 | 0.487 | -1.305 | | Standard deviation | 15.254 | 24.063 | 15.406 | 126.587 | 53.358 | 12.418 | 368.205 | 1.703 | 13.656 |
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