United Kingdom Onshore Pipeline Operators' Association
Transcript of United Kingdom Onshore Pipeline Operators' Association
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UKOPA United Kingdom Onshore Pipeline Operators' Association
Risk-Based In-Line Inspection
Rod McConnell
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Introduction
PIE Project for National Grid Transmission started in March 2008
Replacement of 1992 British Gas “Intervals” model for assessing in-line inspection (ILI) frequency
Assesses corrosion probability for increasing interval between in-line inspections
Issues with “Intervals” model:- assessed through-wall corrosion event – not acceptable today balanced cost of ILI inspection against cost of loss of supply due
to gas leak – no longer appropriate
New model called “Intervals 2” Revised and updated for NG UKD, NGN, Scotia & W&W
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Features of New Model 1
Uses pipeline parameters to assess probability of corrosion – age, wall thickness, coating, pressure
Sets allowable wall thickness for corrosion based on 90% of B(31)G depth criterion (safe wall thickness for infinitely long defect) or max. 70% wall thickness
Allows for periods of high corrosion (e.g. CP not working)
Assesses corrosion resistance based on newly- developed decision algorithm based on previous ILI inspection, CIPS surveys, CP performance etc.
Pipelines categorised into HIGH, AVERAGE or LOW resistance to corrosion
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UKOPA United Kingdom Onshore Pipeline Operators’ Association www.ukopa.co.uk
Corrosion Algorithm
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Features of New Model 2
New corrosion rate distributions based on assessment of UK corrosion rates – Dr Julia Race, Newcastle University
Corrosion start depth based on pipeline stress level Uses Monte Carlo modelling to assess probability of
exceeding 90% B31(G) (or 70%) wall thickness Presents results as probability of exceeding limit for
1,2,3,…up to 15 years – 15 year cap maintained Operator defines criticality of pipeline – HIGH,
AVERAGE and LOW – set at 1%, 2%, and 5% probability of exceeding limit
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UKOPA United Kingdom Onshore Pipeline Operators’ Association www.ukopa.co.uk
Corrosion Rate Probability Distributions
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Corrosion Defect Start Distributions Operating Stress (% SMYS)
P11 depth limit for Superficial Corrosion (%wt)
Methodology Starter Defect Distribution (% wt)
50% – 72% 20% 0 – 25%
30% – 50% 30% 0 – 35%
≤ 30 40% 0 – 45%
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Results Presentation
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Methodology - 1
Assess probability of corrosion starting for inspection intervals 1,2,3….15 year, based on:- Number of corrosion defects below and above reporting limit
identified in last ILI inspection Age of pipeline – older pipeline higher probability Coating type – based on UKOPA data
Calculate maximum allowable wall thickness available for corrosion, based on:- B31(G) correlation (higher pressure = higher stress = lower
available wall thickness) Available wall thickness Periods of higher rate corrosion
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Methodology - 2
Identify corrosion resistance from decision algorithm and assign corrosion rate distribution
Define Corrosion Start Depth distribution based on pipeline stress level
Apply Monte Carlo modelling to obtain probability that given corrosion defect exceeds limit
Multiply [probability of corrosion starting] by [probability defect exceeds limit] to obtain overall probability
Plot results for 1,2,3….15 years and define frequency based on Criticality level 1%, 2%, or 5%.
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Acknowledgements
Jane Haswell, Phill Jones of PIE Dr Julia Race, Newcastle University NG Transmission engineers Tony Stonehewer and Jo Harris, UKT Robert Owen UKD, Barry Dalus NGN, and others…
Demonstration of “Intervals 2”………….