Table 2 Statistical analysis of the datasets.

From: Machine learning models for estimating the overall oil recovery of waterflooding operations in heterogenous reservoirs

 

Parameters

M

V

WOR

SWi

R

Mean

16.431

0.538

25.602

0.32

0.271

Standard error

0.797

0.01

1.099

0.004

0.006

Median

3.64

0.556

5

0.32

0.25

Mode

100

0.988

5

0.11

0.313

SD

25.881

0.319

35.678

0.131

0.185

SV

669.818

0.101

1272.946

0.017

0.034

Kurtosis

2.695

-1.4

0.447

-1.193

-0.713

Skewness

1.915

-0.099

1.456

0.036

0.395

Range

100.214

0.992

99

0.45

0.878

Minimum

0.098

0.006

1

0.1

0.011

Maximum

100

0.998

100

0.55

0.889

Count

1054

1054

1054

1054

1054

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