Preventing and Mitigating Corrosion to Advance Pipeline Integrity - - PowerPoint PPT Presentation

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Preventing and Mitigating Corrosion to Advance Pipeline Integrity - - PowerPoint PPT Presentation

Mar 23, 2024 143 likes •268 views

Preventing and Mitigating Corrosion to Advance Pipeline Integrity 2017 Pipeline Safety Trust Conference November 2, 2017 New Orleans, LA Causes of Liquids Pipeline Releases 2012-2016 TOTAL RELEASES (2,100 Releases) CORROSION 21% 79% ALL

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SLIDE 1

Preventing and Mitigating Corrosion to Advance Pipeline Integrity

2017 Pipeline Safety Trust Conference November 2, 2017 New Orleans, LA

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SLIDE 2

Causes of Liquids Pipeline Releases

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21% 79%

2012-2016 TOTAL RELEASES (2,100 Releases) CORROSION ALL OTHER CAUSES

Information provided by API Data Mining Team

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SLIDE 3

39% 61%

MAINLINES (199 Releases)

83% 17%

FACILITIES (204 Releases)

Liquids Pipeline Releases By Location and Type

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51% 49%

BY LOCATION (403 Releases)

2012-2016 ONSHORE PIPELINE CORROSION RELEASE DATA:

Mainline Facility External Internal Internal External

Information provided by API Data Mining Team; Excludes releases from tanks and

  • ffshore pipelines
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SLIDE 4

Internal and External Corrosion

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Internal Corrosion External Corrosion

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SLIDE 5

Design – Prevent – Mitigate: Layers of Defense

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  • 1. Pipe wall thickness
  • 2. External pipe coating
  • 3. Cathodic Protection (CP) system
  • 4. Test stations
  • 5. Cleaning pigs
  • 6. In-line Inspection (ILI)
  • 7. Known low point
  • 8. Sample points
  • 9. Corrosion inhibitor
  • 10. Corrosion rate monitoring
  • 11. AC corrosion mitigation

A C 11 10 9 8 7 6 5 4 3 1 2

Creating layers of defense requires identifying “the holes in the cheese”

ILI technology is a significant layer of defense

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SLIDE 6

Applying In-line Inspection (ILI) to mitigate corrosion

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Strong partnership between Operators and technology providers is key to success

APPLY TECHNOLOGY ANALYZE & INTEGRATE DATA VALIDATE PERFORMANCE Select Technology Inspect Pipeline (ILI) Analyze Raw Data Assess Anomalies Integrate Data Sets Inspect Anomalies (NDE) Determine ILI Accuracy MPL Vendor Vendor MPL MPL Vendor MPL

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SLIDE 7

Selecting Technology: Matching Tools to Threats

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DFMFL

Dual Field Magnetic Flux Leakage

MFL/ HMFL

Magnetic Flux Leakage/ Helical Magnetic Flux Leakage

CMFL

Circumferential Magnetic Flux Leakage

GEO

Geometry

UTCD

Ultrasonic Crack Detection Tool

EMAT

Electro Magnetic Acoustic Transducer

UTWM

Ultrasonic Wall Measurement Tool RE-

ROUNDED

SMOOTH/ PLAIN DENTS W/METAL LOSS CIRCUMFERENTIAL AXIAL SEAM WELD BODY CRACKS DENTS METAL LOSS DISBONDE D COATING

MAGNET

IC FLUX

ULTRASO

NIC

CALIP

ER

DEFECT CATEGO

RIES

APPLY TECHNOLOGY ANALYZE & INTEGRATE DATA VALIDATE PERFORMANCE Select Technology Inspect Pipeline (ILI) Analyze Raw Data Assess Anomalies Integrate Data Sets Inspect Anomalies (NDE) Determine ILI Accuracy MPL Vendor Vendor MPL MPL Vendor MPL

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SLIDE 8

Using Technology: Putting Tools to Work

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MFL

Magnetic Metal Loss Sensors Ultrasonic Sensors

UTWM

APPLY TECHNOLOGY ANALYZE & INTEGRATE DATA VALIDATE PERFORMANCE Select Technology Inspect Pipeline (ILI) Analyze Raw Data Assess Anomalies Integrate Data Sets Inspect Anomalies (NDE) Determine ILI Accuracy MPL Vendor Vendor MPL MPL Vendor MPL

Magnetic Flux Leakage Tool Ultrasonic Wall Measurement Tool

Used with permission from : Rosen Group Used with permission from : NDT GLOBAL

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SLIDE 9

Other Data Sources GIS Data Integration: GIS Data

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APPLY TECHNOLOGY ANALYZE & INTEGRATE DATA VALIDATE PERFORMANCE Select Technology Inspect Pipeline (ILI) Analyze Raw Data Assess Anomalies Integrate Data Sets Inspect Anomalies (NDE) Determine ILI Accuracy MPL Vendor Vendor MPL MPL Vendor MPL

n Pipe Properties n Foreign Line Crossings n Coatings n Casings n MOP n Depth of Cover n Line Survey Data n Close Interval Survey Data n AC Power Co-locations n Span Locations n Waterway Crossings n Land Use Data n Aerial Imagery n Operational Data n Topography

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SLIDE 10

Validate Performance: Tool Tolerance and Specifications

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APPLY TECHNOLOGY ANALYZE & INTEGRATE DATA VALIDATE PERFORMANCE Select Technology Inspect Pipeline (ILI) Analyze Raw Data Assess Anomalies Integrate Data Sets Inspect Anomalies (NDE) Determine ILI Accuracy MPL Vendor Vendor MPL MPL Vendor MPL

l Field investigation and repair l Determine other mitigation requirements l Evaluate tool performance vs. specifications l Compare as found to as called

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SLIDE 11

Feedback & Continuous Improvement

l Leverage technology l Working with vendors to improve ILI l Research and development participation l API and NACE

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