Table 2 Summary of data parameters

From: Machine learning methods for predicting residual strength in corroded oil and gas steel pipes

Source

Pipe size parameters

Material parameters

Defect parameters

External conditions

Pf

77

D; t

UTS; YS

DL; DD; DW

-

√

66

D; t; specimen length

UTS; YS

DL; DD; DW

-

√

75

D

Material categories

DL; DD; DW

-

√

103

D; t

UTS; YS

DL; DD; defect spacing

-

√

76

D; t

Material categories

DL; DD

-

√

61

D; t

UTS; YS

DL; DD; DW; axial defect spacing; circumferential defect spacing

-

√

67

t

-

DL; DD

Water depth

√

104

D; t

UTS

DL; defect spacing

-

√

13

D; t

UTS; YS; E

DL; DD; DW

-

√

105

D; t

UTS

DL; DD

-

√

26

D; t

UTS

DL; DD; DW

-

√

29

D; t

YS

DL; DD; DW

Axial force; bending moment

√

106

D; t

UTS; YS; material categories

DL; DD; defect shape

-

√

107

D; t

-

DL; DD

-

√

108

D; t

UTS; YS

DL; DD

-

√

109

D; t

UTS; YS

DL; DD

-

√

6

D; t

UTS; YS

DL; DD; DW;

-

√

18

D; t

UTS; YS; E

DL; DD; DW

-

√

34

D; t

UTS; YS; material categories

DL; DD; DW

-

√

35

D; t

UTS; YS; E

DL; DD; DW

-

√

110

D; t

UTS

DL; DD

-

√

59

D; t

UTS

DL; DD

-

√

73

t

-

DL; longitudinal defect spacing

-

√

111

D; t

UTS; YS

DL; DD

-

√

112

D; t

UTS; YS

DL; DD; DW

-

√

113

D; t

Material categories

DL; DD

-

√

42

D; t

UTS; YS

DL; DD

-

√

114

D; t

UTS; YS

DL; DD; circumferential defect spacing

-

√

115

D; t

UTS; YS

DL; DD; longitudinal defect spacing

-

√

116

D; t

-

DL; DD; longitudinal defect spacing

-

√

117

t

-

DL; DD

Hydrogen charging time

√

85

D; t

UTS; YS

DL; DD; DW

-

√

17

D; t

UTS; YS; E

DL; DD; DW

-

√

97

D; t

UTS

DL; DD

 

√

  1. D pipe diameter, t wall thickness, YS yield stress, UTS ultimate tensile stress, DW defect width, DD defect depth, DL defect length, E elastic modulus, Pf burst pressure.