Research Article
Total Organic Carbon Content Prediction in Lacustrine Shale Using Extreme Gradient Boosting Machine Learning Based on Bayesian Optimization
Table 1
Results of the statistical analysis of well S352 well logs.
| | GR | RD | AC | DEN | CNL | U | TH | K | TOC | API | ohm·m | μs/ft | g/cm3 | % | ppm | ppm | % | wt.% |
| Mean | 53.34 | 18.23 | 91.56 | 2.27 | 36.84 | 2.14 | 6.99 | 1.52 | 4.11 | Std | 7.61 | 41.11 | 14.19 | 0.17 | 7.41 | 0.71 | 1.78 | 0.56 | 2.37 | Max | 70.73 | 1.76 | 117.95 | 2.64 | 49.23 | 3.97 | 10.27 | 3.50 | 10.18 | Min | 29.68 | 296.08 | 62.80 | 1.96 | 19.89 | 0.63 | 2.45 | 0.52 | 0.29 | Skewness | -0.52 | 5.80 | -0.42 | 0.47 | -0.57 | 0.26 | -0.39 | 1.33 | 0.39 | Kurtosis | 1.64 | 35.71 | -0.81 | -0.55 | -0.61 | -0.25 | -0.12 | 2.07 | -0.49 |
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