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Getting More From Your Intelligent Pig Inspection
byRoland Palmer-Jones, Prof. Phil Hopkins, and Andre Goncalves
Penspen Integrity
PPSA SeminarAberdeen
14 Nov 2007
The Problem
Intelligent pigs are widely usedLarge quantities of data are collectedDefects are generally reported in a simple spreadsheet format.Simple clustering and defect sizing leads to safe conservative assessments
Outline
Inspection Technology MFL UT
Defect SizingDefect AssessmentComplex Shape AssessmentCase Study
MFL Inspection
N MAGNET S
Flux Lines
Pipe Wall
Penspen Ltd.
MFL Defect Sizing
Relative measurementDepth Signal amplitude Number of sensors affected
N MAGNET S
Flux Lines
Pipe Wall
MFL Data
Penspen Ltd.
UT Inspection
www.ndt-ag.com
UT Defect Sizing
Absolute Depth/Wall Thickness Time difference between echo
signals
UT Data
Penspen Ltd.
Individual Defects
Penspen Ltd.
Penspen Ltd.
Multiple Defects?
Penspen Ltd.
Penspen Ltd.
Clustering
Penspen Ltd.
Cluster
Evaluation Based on Actual Shape
RSTRENG Riverbottom ProfileDNV RP-F101 Complex Shape Method
RSTRENG
0.00
2.00
4.00
6.00
8.00
10.00
12.00
0.00 50.00 100.00 150.00 200.00 250.00 300.00
Length
Dep
th
DNV RP-F101
Example 1
UT data
Penspen Ltd.
Rectangular Profile Failure Pressure 219 bar
Flat Bottom Profile
0
2
4
6
8
10
12
14
16
18
20
0 20 40 60 80 100 120 140 160 180 200
Distance Along X-Axis (mm)
Rem
aini
ng W
all T
hick
ness
Riverbottom ProfileFailure Pressure 305 bar
River - Bottom Profile
0 20 40 60 80 100 120 140 160 180 200
Distance Along X-Axis (mm)
Rem
aini
ng w
all T
hick
ness
(mm
)
Example 2
Assessment Data Maximum Reported Depth (%t)
Length (mm)
Defect Profile Failure Pressure (Bar)
Standard MFL pig Cluster
63 330 Rectangular 53
Expert MFL pig Boxes
63 330 River-Bottom 113
Expert External UT
50.5 1760 River-Bottom 85
Inspection/Repair Can be Expensive
Penspen Ltd.
Penspen Ltd.
Summary
Defect profile data gives assessment benefitsProfile data is collected anyway and so should be supplied in an accessible format with the inspection report.