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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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A risk assessment model developed as part of a holistic study conducted to evaluate the condition of subsea pipelines. A systematic semi-quantitative risk-based model was developed to identify, analyze and evaluate risk associated with each subsea pipeline.
Traditional Corrosion Growth Rate (CGR) models used in the integrity assessment of corroded pipelines are deterministic. A common Magnetic Flux Leakage (MFL) inline inspection (ILI) tool performance specification on general corrosion anomaly depth is +/- 10% Wall Thickeness (WT) at 80% confidence which corresponds to a standard deviation of 7.81% WT. Probabilistic Corrosion Growth Rate (PCGR) models incorporate these large measurement uncertainties and provide more realistic reliability assessments
External corrosion of underground pipelines is being controlled by the use of latest technologies in protective coatings and by maintaining adequate levels of cathodic protection (CP). The role of the coating is to act as a physical and dielectric (non-conductive) barrier to isolate from the surrounding electrolyte and to limit the CP current requirement. The protective coating acts as the primary or first line of defense against corrosion; however no coating system is perfect and will subject to degradation with time, in addition to some voids/holidays during application, transport, and operations.
This white paper analyzes the electromagnetic acoustic transducer (EMAT) tool performance and when combined with a multiple dataset platform, investigates the operator’s dig results from EMAT, and compares multiple inline inspection technologies used for a comprehensive seam assessment.