Geofluids / 2022 / Article / Tab 2 / Research Article
Petrophysical Regression regarding Porosity, Permeability, and Water Saturation Driven by Logging-Based Ensemble and Transfer Learnings: A Case Study of Sandy-Mud Reservoirs Table 2 Summary of quartile-based statistical information of applied well logs.
log1 AC (μ s/m) CNL (%) DEN (g/cm3 ) GR (API) SP (mV) PE (b/e) AT10 (Ω ·m) AT20 (Ω ·m) AT30 (Ω ·m) AT60 (Ω ·m) AT90 (Ω ·m) Value 212.80 22.05 2.62 92.90 84.32 3.35 19.07 17.48 16.64 15.98 15.63 204.64 20.46 2.62 82.80 83.01 3.33 24.73 20.40 19.22 18.14 17.83 202.41 18.37 2.61 78.19 81.60 3.31 25.58 18.86 17.49 16.36 16.08 230.86 21.03 2.50 96.94 52.34 2.71 8.63 6.12 5.19 4.64 4.51 232.66 21.58 2.50 91.91 51.94 2.71 8.95 6.29 5.30 4.72 4.59 235.76 22.22 2.50 82.69 51.62 2.74 9.63 6.69 5.60 4.98 4.84 Max 330.12 76.56 2.68 150.23 88.26 4.22 73.08 41.19 38.88 39.86 40.45 Min 183.99 9.16 1.53 40.49 23.93 1.72 1.70 2.09 2.78 1.95 1.73 223.98 19.82 2.41 72.60 43.39 2.74 7.58 6.29 5.07 4.00 3.74 247.38 24.06 2.59 102.58 80.25 3.21 14.43 13.13 12.86 12.76 12.78 IQR2 35.10 6.37 0.28 44.97 55.28 0.71 10.28 10.26 11.69 13.14 13.56 LIF3 188.88 13.45 2.13 27.63 -11.89 2.04 -2.70 -3.97 -6.62 -9.14 -9.82 UIF4 282.48 30.43 2.88 147.55 135.53 3.92 24.71 23.39 24.55 25.90 26.35