defect detection and characterization in pipelines · pdf fileslide 1 defect detection and...

DEFECT DETECTION AND CHARACTERIZATION IN PIPELINES
Current Programs at SwRI
DEFECT DETECTION AND CHARACTERIZATION IN PIPELINES
Current Programs at SwRI
Government/Industry Pipeline R&D ForumGovernment/Industry Pipeline R&D ForumFebruary 7, 2007February 7, 2007New Orleans, LANew Orleans, LA
Gary BurkhardtGary BurkhardtSouthwest Research InstituteSouthwest Research Institute

TARGET AREASTARGET AREAS
Inspection of unpiggable pipelines
Monitoring of cased pipelines
Characterization of mechanical damage defects
Inspection of unpiggable pipelines Inspection of unpiggable pipelines
Monitoring of cased pipelines Monitoring of cased pipelines
Characterization of mechanical Characterization of mechanical damage defectsdamage defects

APPLICATION OF RFEC TESTING TO INSPECTION OF UNPIGGABLE
PIPELINES
APPLICATION OF RFEC TESTING TO INSPECTION OF UNPIGGABLE
PIPELINES
U.S. DOT-PHMSA Contract No. DTRS56-02-T-0001
Participation byNortheast Gas Assn.
Carnegie MellonU.S. DOE-NETL
U.S. DOTU.S. DOT--PHMSA Contract No. DTRS56PHMSA Contract No. DTRS56--0202--TT--00010001
Participation byParticipation byNortheast Gas Assn.Northeast Gas Assn.
Carnegie MellonCarnegie MellonU.S. DOEU.S. DOE--NETLNETL

PROBLEMSome pipelines are unpiggable and cannot be
inspected
PROBLEMSome pipelines are unpiggable and cannot be
inspectedBranch ConnectionsNon-Circular Valves90-degree ElbowsMultiple DiametersNo Launch Traps
Branch ConnectionsBranch ConnectionsNonNon--Circular ValvesCircular Valves9090--degree Elbowsdegree ElbowsMultiple DiametersMultiple DiametersNo Launch TrapsNo Launch Traps
Low Flow RatesLow PressuresLow Flow RatesLow Flow RatesLow PressuresLow Pressures

Project ObjectivesProject Objectives
Develop remote field eddy current (RFEC) inspection system for natural gas pipelines that are currently unpiggableAccommodate obstacles such as elbows and TeesIntegrate RFEC system with Carnegie Mellon robotDemonstrate in operating pipeline
Develop remote field eddy current (RFEC) Develop remote field eddy current (RFEC) inspection system for natural gas pipelines inspection system for natural gas pipelines that are currently that are currently unpiggableunpiggableAccommodate obstacles such as elbows and Accommodate obstacles such as elbows and TeesTeesIntegrate RFEC system with Carnegie Mellon Integrate RFEC system with Carnegie Mellon robotrobotDemonstrate in operating pipelineDemonstrate in operating pipeline

APPROACHAPPROACHUse remote-field eddy current (RFEC) method
RFEC system can adjust to variable pipe size and retract to pass through obstaclesDetects ID and OD corrosion defectsCan characterize defect depth, length, width
Integrate RFEC with Carnegie Mellon Explorer II robotic transport system
Adjusts to variable pipe size and retracts to pass through obstaclesSelf-poweredNontetheredwireless remote controlLaunched while pipe in service
Use remoteUse remote--field eddy current (RFEC) methodfield eddy current (RFEC) methodRFEC system can adjust to variable pipe size and RFEC system can adjust to variable pipe size and retract to pass through obstaclesretract to pass through obstaclesDetects ID and OD corrosion defectsDetects ID and OD corrosion defectsCan characterize defect depth, length, widthCan characterize defect depth, length, width
Integrate RFEC with Carnegie Mellon Explorer II Integrate RFEC with Carnegie Mellon Explorer II robotic transport systemrobotic transport system
Adjusts to variable pipe size and retracts to pass Adjusts to variable pipe size and retracts to pass through obstaclesthrough obstaclesSelfSelf--poweredpoweredNontetheredNontetheredwireless remote controlwireless remote controlLaunched while pipe in serviceLaunched while pipe in service

RFEC DESIGN FOR EXPLORER IIRFEC DESIGN FOR EXPLORER II
SwRI RFECSwRI RFECInspectionInspection
ModulesModules
CMU Explorer IICMU Explorer IIRobotRobot
Sensor ArraySensor Array
ExciterExciter

BLIND TEST DEFECT CHARACTERIZATION(Breadboard System)
BLIND TEST DEFECT CHARACTERIZATION(Breadboard System)
0
0.02
0.04
0.06
0.08
0.1
0.12
0.14
0.16
0.18
0.2
0.05 0.07 0.09 0.11 0.13 0.15 0.17 0.19 0.21
True Max Depth (in.)
Indi
cate
d M
ax. D
epth
(in.
)
Ideal Response
Trend Line
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
0 0.5 1 1.5 2 2.5 3 3.5 4 4.5
True Length (in.)
Indi
cate
d Le
ngth
(in.
)
Defect LengthDefect Length
Defect DepthDefect Depth
1 2 3 4 5 6 7 8Axial Distance (0.25" increments)
Typical DefectsTypical Defects

CURRENT STATUS/PLANSCURRENT STATUS/PLANS
RFEC modules undergoing fabrication and testing
Integration with Explorer II robot in Spring 2007
Demonstration on live pipeline in Summer 2007
RFEC modules undergoing fabrication RFEC modules undergoing fabrication and testingand testing
Integration with Explorer II robot in Integration with Explorer II robot in Spring 2007Spring 2007
Demonstration on live pipeline in Demonstration on live pipeline in Summer 2007Summer 2007

Expected OutcomeExpected Outcome
Inspection system for 6-8 inch pipelines that can negotiate 90 deg. elbows and Tee jointsAnalysis capability to characterize depth, length, & width of wall-loss defectsDemonstration in live pipelineTransfer of technology
Inspection system for 6Inspection system for 6--8 inch pipelines 8 inch pipelines that can negotiate 90 deg. elbows and that can negotiate 90 deg. elbows and Tee jointsTee jointsAnalysis capability to characterize Analysis capability to characterize depth, length, & width of walldepth, length, & width of wall--losslossdefectsdefectsDemonstration in live pipelineDemonstration in live pipelineTransfer of technologyTransfer of technology

LONG-TERM MONITORING OF CASED PIPELINES USING LONG-RANGE
GUIDED-WAVE TECHNIQUE
LONG-TERM MONITORING OF CASED PIPELINES USING LONG-RANGE
GUIDED-WAVE TECHNIQUE
SwRI Project 14.12266 SwRI Project 14.12266 forfor
NYSEARCH/NGA and DOT/PHMSANYSEARCH/NGA and DOT/PHMSA

PROBLEMINSPECTION of CASED LINES AT
ROAD CROSSINGS
PROBLEMINSPECTION of CASED LINES AT
ROAD CROSSINGS
High-consequence area
Require direct assessment (DA)
Access is difficult, need remote inspection technique
HighHigh--consequence areaconsequence area
Require direct assessment (DA)Require direct assessment (DA)
Access is difficult, need remote Access is difficult, need remote inspection techniqueinspection technique

PROJECT OBJECTIVEPROJECT OBJECTIVE
Apply Magnetostrictive Sensor (MsS) long-range guided-wave testing to cased crossingsDevelop defect characterization capabilityDevelop long-term monitoring capability using permanently installed sensorsPerform field validation
ApplyApply MagnetostrictiveMagnetostrictive Sensor (Sensor (MsSMsS))longlong--range guidedrange guided--wave testing to wave testing to cased crossingscased crossingsDevelop defect characterization Develop defect characterization capabilitycapabilityDevelop longDevelop long--term monitoring capability term monitoring capability using permanently installed sensorsusing permanently installed sensorsPerform field validationPerform field validation

MsS (MAGNETOSTRICTIVE SENSOR) MsS (MAGNETOSTRICTIVE SENSOR)
MsS is a guided-wave probe that uses magnetostrictive effects for wave generation and detectionThin, ferromagnetic strips are bonded around pipe with encircling coils over the stripsSensors are inexpensive and suitable for long-term monitoring
MsS is a guidedMsS is a guided--wave probe that uses wave probe that uses magnetostrictivemagnetostrictive effects for wave effects for wave generation and detectiongeneration and detectionThin, ferromagnetic strips are bonded Thin, ferromagnetic strips are bonded around pipe with encircling coils over the around pipe with encircling coils over the stripsstripsSensors are inexpensive and suitable for Sensors are inexpensive and suitable for longlong--term monitoringterm monitoring

MsS TEST SETUP ON A CASED-LINE MOCKUP
MsS TEST SETUP ON A CASED-LINE MOCKUP
16" CasingMsS Coils
10" Cased Line
Casing End Seal

PROJECT STATUS/PLANSPROJECT STATUS/PLANS
Defect signal modeling refined and validatedDefect characterization algorithm development & software improvement underwaycomplete in March 2007Field evaluation to begin in April 2007
In NGAs test bed in Binghamton, New York
Defect signal modeling refined and Defect signal modeling refined and validatedvalidatedDefect characterization algorithm Defect characterization algorithm development & software improvement development & software improvement underwayunderwaycomplete in March 2007complete in March 2007Field evaluation to begin in April 2007Field evaluation to begin in April 2007
InIn NGANGAss test bed in Binghamton, New Yorktest bed in Binghamton, New York

EXPECTED OUTCOMEEXPECTED OUTCOME
Defect signal simulation software Data analysis software for inspection and monitoring
Including some capab

defect detection and characterization in pipelines · pdf fileslide 1 defect detection and...

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