Application of Various Machine Learning Techniques in Predicting Total Organic Carbon from Well Logs

Table 3

The statistical description of the training data.

Statistical parameter	FR (Ω·m)	Δt (μsec/ft)	RHOB (g/cm^3)	CNP	GR (°API)	Ur (wt%)	Th (ppm)	K (ppm)	TOC (wt%)
Minimum	3.71	51.0	2.39	0.019	22.9	1.39	1.97	0.130	0.76
Maximum	1675	96.6	2.77	0.346	298	22.6	17.0	4.06	5.66
Mean	110	77.9	2.545	0.174	95.5	6.16	9.01	1.51	2.78
Standard deviation	176	8.56	0.075	0.052	38.9	3.16	2.517	0.607	1.30
Kurtosis	21.8	0.227	−0.465	0.984	3.43	6.81	0.315	1.14	−1.08
Skewness	3.98	−0.630	0.436	−0.127	0.837	2.13	−0.135	0.554	0.181