COURSE OVERVIEW:

In a large industrial facility, the volume of thickness data generated during inspections can be overwhelming. This course provides the technical expertise required to manage this data effectively and interpret advanced corrosion maps. Moving beyond simple point-by-point measurements, participants will learn how to use automated data management systems and visualization tools to identify spatial corrosion patterns and predict future asset health.

The scope of this training involves the organization of Condition Monitoring Locations (CMLs) and the utilization of Thickness Data Management Systems (TDMS). Participants will learn how to audit large data sets for errors and how to interpret "C-Scan" images from automated ultrasonic testing (AUT). Understanding the difference between general thinning and localized pitting through visual mapping is essential for performing accurate Fitness-for-Service assessments.

Coverage includes the statistical analysis of corrosion data, the creation of corrosion rate trends, and the integration of NDT data into RBI models. The curriculum focuses on the interpretation of corrosion maps to determine the "Remaining Strength" of a component. By the end of this course, delegates will be able to transform raw inspection data into actionable integrity intelligence, ensuring that maintenance resources are directed toward the areas of greatest need.

COURSE OBJECTIVES:

After completion of this course, the participants will be able to:

• Design a logical structure for Thickness Data Management Systems (TDMS).
• Establish and optimize Condition Monitoring Locations (CMLs) for assets.
• Interpret "A-Scan," "B-Scan," and "C-Scan" corrosion mapping images.
• Identify localized corrosion patterns and "Bad Actor" areas via mapping.
• Perform data validation and filtering to remove anomalous readings.
• Calculate short-term and long-term corrosion rates from mapped data.
• Utilize corrosion mapping results for API 579 Fitness-for-Service assessments.
• Differentiate between ultrasonic "doubling" and actual metal loss.
• Manage the integration of manual and automated thickness data.
• Predict the next inspection date using statistical trend analysis.
• Generate visual reports that communicate risk to non-technical stakeholders.
• Optimize inspection coverage based on historical corrosion mapping results.

TARGET AUDIENCE:

This course is designed for Inspection Data Analysts, Integrity Engineers, NDT Coordinators, and Reliability Personnel who manage large-scale thickness programs.

TRAINING COURSE METHODOLOGY:

A highly interactive combination of lectures, discussion sessions, and case studies will be employed to maximize the transfer of information, knowledge, and experience. The course will be intensive, practical, and highly interactive. The sessions will start by raising the most relevant questions and motivating everybody to find the right answers. The attendants will also be encouraged to raise more of their questions and to share in developing the right answers using their analysis and experience. There will also be some indoor experiential activities to enhance the learning experience. Course material will be provided in PowerPoint, with necessary animations, learning videos, and general discussions.

The course participants shall be evaluated before, during, and at the end of the course.

COURSE CERTIFICATE:

National Consultant Centre for Training LLC (NCC) will issue an Attendance Certificate to all participants completing a minimum of 80% of the total attendance time requirement.