Research Article
Prediction of the Control Effect of Fractured Leakage in Unconventional Reservoirs Using Machine Learning Method
Table 2
Statistical analysis and summary of sample data.
| | Types | Minimum | Maximum | Range | Arithmetic mean | Std. deviation | Skewness | Kurtosis |
| | Leak rate (m3/h) | 3 | 100 | 9 7 | 51.37692 | 33.57244 | 0.430229 | -1.35702 | | Displacement (m3/h) | 30 | 100.8 | 7 0.8 | 52.66154 | 18.32424 | 1.126849 | 1.879827 | | Pumping pressure max (MPa) | 5 | 16 | 1 1 | 10.73077 | 2.739423 | -0.02166 | 0.004141 | | Concentration (%) | 0.05 | 0.3636 | 0.3136 | 0.109792 | 0.057074 | 3.442085 | 15.20886 | | Addition of KZ-3 (t) | 0 | 2 | 2 | 0.461538 | 0.795698 | 1.350404 | 0.010491 | | Addition of KZ-4 (t) | 0 | 2.5 | 2.5 | 0.942308 | 0.85852 | 0.238694 | -1.44599 | | Addition of KZ-5 (t) | 0 | 2.5 | 2.5 | 0.134615 | 0.510612 | 4.24259 | 18.6555 | | Addition of walnut shell (t) | 0 | 3 | 3 | 1.923077 | 0.873678 | -0.57641 | -0.13565 | | Amount of vermiculite (t) | 0 | 3 | 3 | 0.634615 | 0.915231 | 1.173339 | 0.043976 | | Amount of comprehensive plugging agent (t) | 0 | 3 | 3 | 1.423077 | 1.080352 | -0.17773 | -1.36465 | | Addition amount of LWD agent (t) | 0 | 2 | 2 | 0.134615 | 0.471448 | 3.500587 | 11.44695 | | Total addition (m3) | 11 | 80 | 69 | 55.42308 | 13.31042 | -1.02063 | 3.95618 | | Density (g/cm3) | 1.15 | 1.25 | 0.1 | 1.221538 | 0.022819 | -2.32647 | 5.916531 | | Funnel viscosity (s) | 46 | 72 | 26 | 58.03846 | 9.500934 | 0.36903 | -1.50663 | | Actual blocking effect (%) | 0.1 | 1 | 0.9 | 0.596923 | 0.330102 | 0.280503 | -1.75597 |
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