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Pipeline Integrity Management
Alberta-Korea Pipeline Safety SeminarDaegu, South Korea
June 2, 2016
Brian WaggDirector, Business Development
C-FER TechnologiesEdmonton, Alberta, Canada
www.cfertech.com
Overview
• Introduction to C-FER• Integrity Management Programs
– Program Requirements– Initial Assessments– Making the most of ILI data
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Who we are
• Independent engineering consulting and testing
• Not-for-profit, Government owned
• 100 employees - $18 million annual revenue
• Working with industry clients
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What we do
• Improve Safety and Efficiency– Manage Risk
– Optimize Operations
– Investigate Failures
•De-risk technologies– Qualify Equipment
– Track Performance
Testing
Risk
Modeling
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Integrity Management Plan
Construction • Avoid
Integrity Management • Prevent
Leak Detection • Find
Spill Response • Clean up
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IMP Requirements
• System Data• Records Management• Change Management• Training and Competency• Hazard Identification• Consequence Identification• Inspection and Monitoring• Mitigation Options• Activity Plans and Schedules• Continual Improvement• Incident Investigation
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IMP Assessment
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IMP Assessment
PipelineOperator
3rd PartyInspector
IMP Assessment
Regulator
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IMP Requirements
• System Data• Records Management• Change Management• Training and Competency• Hazard Identification• Consequence Identification• Inspection and Monitoring• Mitigation Options• Activity Plans and Schedules• Continual Improvement• Incident Investigation
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Hazards
• Equipment impact• External metal loss corrosion• Internal metal loss corrosion• Stress corrosion cracking• Manufacturing defects• Geotechnical hazards• Seismic hazards• Ice scour (offshore)• Natural hazards (offshore)
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Baseline Assessments
Objective– Identify pipeline segments where risk or
uncertainty is highest
Approach– Requires minimal data to describe pipeline
attributes– Use database of pipeline failures to estimate
probability of failure for each hazard
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Data Requirements
Pipeline attributes for external corrosion analysis:
– Age– Wall thickness– Operating temperature– Soil corrosivity (low / high / very high)– Cathodic protection (yes / no)– Coating type– Coating condition (intact / damaged)
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Segment Analysis
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Detailed Assessments
Objective– Develop work plans to reduce risk
Approach– Collect data to better describe pipeline condition
(e.g. Inline inspection, digs, etc.)– Use engineering models to estimate risk– Optimize plans to reduce risk
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Defect Assessment Process
Data on pipeproperties and dimensions
Maximumoperating pressure
InspectionData
Measurementuncertainties
Corrosion modeland test results
Data fromrepetitiveinspections
Failure probabilityas a
function of time
Model results
Test results
xxxx
xx
x
xx
x
x
modeluncertainties
Flaw depth (mm)
Prob. density
corrosioncharacteristics
Prob. density
Growth Rate (mm/yr)
corrosiongrowth rates
Yield stress (MPa)
Frequency
pipeproperties
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Probability of Detection
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Initial Assessment- Basic line attributes- Failure database used to estimate
probability of failure due to each hazard
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Detailed Assessment- Inline Inspection shows pipe wall loss due
to corrosion- Engineering models used to predict
probability of failure due to corrosion- Other hazards use failure database
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Consider Consequences- Risk = Probability of Failure x Consequences- Risk target consistent along pipeline
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Repair Damage
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Install Protection
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Maintenance Planning
0 2 4 6 8 10
Relative Age (yrs)
Base case
In-line inspection
Reduced pressure
Increased wall
Failu
re R
ate
(per
km
yr)
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Dig Optimization
Year 1
Year 4 Year 5
Year 8
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PIRAMID
• Quantify risk profile along pipeline• Evaluate factors influencing risk• Optimize maintenance and
inspection programs• Report to regulators
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Integrity Management Program
• Well established best practices are documented in standards
• Baseline risk assessments require only basic information and use a database of failures from other pipelines
• More detailed assessments can be made when more data becomes available
• Maintenance programs can be optimized to minimize risk and cost
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Thank you