Matching Anomalies from Different ILI Runs Using a Corrosion Prediction Algorithm
Corrosion is a significant challenge in the oil and gas industry, with important economic and environmental implications. To address this issue, an algorithm has been developed that uses Internal Line Inspection (ILI) data to predict corrosion rates accurately and efficiently. The approach is based on matching anomalies detected in multiple ILI inspections, utilizing geometric features and location data. This matrix-based approach improves accuracy and analysis times compared to traditional methods, which can lead to optimization in repair plans and cost reduction in the oil and gas industry.
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Non-Destructive Testing in Ducts using Guided Waves.
In the following article, we will explore an innovative and effective technique used in the field of non-destructive testing: Non-Destructive Testing of pipelines using Guided Waves or Long-Range Ultrasonic Testing (LRUT).
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Identification and Management of Underperforming Equipment and Assets (HBA – Hidden Bad Actors).
The Hidden Bad Actors (HBA) methodology is applied in maintenance to detect underperforming units that affect management, through the evaluation of statistics, record categorization, and impact analysis. Its results enable the definition of action plans aimed at optimizing maintenance, with benefits such as automated tracking, backlog reduction, and the promotion of preventive and predictive practices. This Feature Note, presented by specialist Eng. Marcos Dasso, details its application and advantages.
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Numerical Modeling Linked to Failure Analysis - Second Ed.
Interest Publication: Numerical Modeling Linked to Failure Analysis (2nd ed). Application Examples
In this Second Delivery, its author, Anibal Marquez, presents us with the various uses that Finite Element Analysis (FEA) can have, which is commonly widely used in the design and manufacturing stages to make decisions that optimize the cost-benefit relationship.
The central topic of this publication, the use of FEA (Finite Element Analysis) in failure analysis, is then addressed, including its characteristics, implications, and peculiarities.
Finally, three application examples are presented, illustrating the variety of situations where the assistance of FEM is indispensable for the conclusion of the Failure Analysis.
