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Validation results of feature level and joint level CGR based on feature matching and signal matching. These results enable pipeline operators to establish defect repair schedules and re-inspection intervals with increased confidence.
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The authors have identified high corrosion growth rate (CGR) features during excavation on one of the polyethylene tape coated lines by running more frequent corrosion in-line inspection tool runs.
External corrosion in uninsulated pipelines is normally able to be prevented by cathodic protection (CP). Generally, external corrosion on buried pipelines cannot occur if CP current is getting onto the pipe. CP is an electrochemical means of corrosion control in which the oxidation reaction in a galvanic cell is concentrated at the anode and suppresses corrosion of the cathode (pipe) in the same cell. For instance, to make a pipeline a cathode, an anode is attached to it.
On an increasingly frequent basis, pipeline operators are using risk-based decision making to prioritize cross-company expenditures. Due to the long-term mitigation benefits of Cathodic Protection (CP), when planning external corrosion mitigation activities, pipeline operators typically prioritize mitigation of deeper anomalies for integrity expenditures due to their higher Probability of Failure (PoF). However, anomalies that are not receiving adequate CP or those experiencing electrical interference may remain unaddressed using this rationale. This paper presents both a qualitative and semi-quantitative approach to support the quantification of the risk reduction benefits gained from external corrosion prevention on pipelines. This can help in the efficient prioritization of both pro-active and re-active integrity repair activities. Supporting examples are also discussed to help explain the intended use of the methodology and the interpretation of the results.
Enbridge is proposing to develop a program that utilizes state-of-the-art technologies and proven inspection methods to prescribe interventions related to external corrosion mitigation using a predictive, integrated approach. This new program embraces complex problems by collecting, analyzing, and integrating environmental, pipeline integrity, and corrosion control data to predict external corrosion risk with sound engineering models (mechanistic, reliability and risk) to anticipate, prevent, and contain unexpected events.