COURSE OVERVIEW:

The meaning of pipeline pigging and in-line inspection within the context of API 1163 involves the rigorous verification and validation of inspection system performance to ensure data reliability. This course provides an advanced look at how operators can move beyond simply receiving an ILI report to actively managing the quality of the inspection process. It emphasizes the "Systems Approach" to ILI, where the tool, the pipeline environment, and the data analysis procedures are all scrutinized to ensure that the final integrity assessment is based on accurate, high-confidence information.

The scope of this training is centered on the three levels of qualification defined by API 1163: system qualification, tool qualification, and result validation. Participants will learn how to verify that a chosen ILI tool is capable of detecting the specific threats identified in their Integrity Management Plan. The course covers the technical complexities of Magnetic Flux Leakage (MFL), Ultrasonic Testing (UT), and EMAT, with a specific focus on the statistical methods used to quantify sizing errors and probability of detection (POD).

The coverage of the program includes twelve modules that guide the learner through the entire ILI project lifecycle. Key topics include the development of a detailed Statement of Work (SOW) for ILI vendors, the analysis of "unity plots" using field excavation data, and the integration of ILI results into Fitness-for-Service (FFS) assessments. The course also addresses the management of "Big Data" generated by high-resolution pigs and the regulatory requirements for documenting the validation process to satisfy safety authorities.

COURSE OBJECTIVES:

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

• Apply the requirements of API 1163 for ILI system qualification.
• Select the correct ILI technology based on pipeline-specific damage mechanisms.
• Evaluate the performance specifications and tolerances of various ILI tools.
• Develop a comprehensive ILI project plan and vendor Statement of Work.
• Analyze ILI signal data and understand the limitations of automated feature lists.
• Perform statistical validation of ILI results using field measurement data.
• Construct and interpret "Unity Plots" to identify tool bias and error.
• Utilize ILI data for performing Level 1 and Level 2 FFS assessments.
• Calculate Corrosion Growth Rates (CGR) from successive ILI runs.
• Manage the logistics of pigging "challenging" or "unpiggable" pipelines.
• Ensure compliance with POF (Pipeline Operators Forum) data standards.
• Document the ILI validation process for regulatory and audit purposes.

TARGET AUDIENCE:

This course is intended for Senior Pipeline Integrity Engineers, ILI Project Managers, Data Analysts, Asset Managers, and Regulatory Compliance Specialists.

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.