Pipeline Inspection Using Intelligent Pigging (ILI)
| 29 June – 03 July 2026, Abu Dhabi | 16 – 20 Nov. 2026, Abu Dhabi |
COURSE OVERVIEW:
The meaning of In-Line Inspection (ILI), commonly known as Intelligent Pigging, refers to the use of sophisticated electronic tools that travel inside a pipeline to collect data on its internal and external condition. This course provides a technical deep dive into the various ILI technologies available to the industry, including Magnetic Flux Leakage (MFL), Ultrasonic Testing (UT), and Geometry/Caliper tools. By mastering these technologies, participants will learn how to detect, characterize, and size pipeline anomalies such as corrosion, dents, and cracks without interrupting the flow of the transported product.
The scope of this training encompasses the entire ILI lifecycle, from the initial feasibility study and tool selection to the final validation of the data through field excavations. The curriculum addresses the operational challenges of pigging "unpiggable" lines, the importance of pipeline cleanliness, and the logistics of pig launching and receiving operations. It also covers the international standards that govern ILI performance, such as API 1163 and the POF (Pipeline Operators Forum) specifications, ensuring that participants can evaluate the quality and reliability of the data provided by service vendors.
The coverage of the program includes eleven modules that focus on the physics of the sensors, the interpretation of signal data, and the statistical analysis of inspection results. Key topics include the differentiation between internal and external metal loss, the identification of seam weld defects, and the use of inertial navigation systems (IMU) for pipeline mapping. The course also explores the emerging field of multi-technology pigs and the use of machine learning in automated data analysis. The program concludes with a workshop on "unity plots" and how to use field measurements to calibrate the ILI tool's performance.
COURSE OBJECTIVES:
After completion of this course, the participants will be able to:
- Identify the most appropriate ILI technology for specific pipeline threats.
- Explain the physics of Magnetic Flux Leakage (MFL) and its limitations.
- Compare Ultrasonic (UT) and EMAT technologies for crack detection.
- Evaluate the results of Caliper and Geometry pigs for mechanical damage.
- Prepare a pipeline for pigging, including cleaning and gauging runs.
- Interpret ILI "Call-out" sheets and prioritize anomalies for excavation.
- Understand the requirements of API 1163 for ILI system qualification.
- Analyze tool tolerances and their impact on defect sizing accuracy.
- Utilize IMU data for pipeline bending strain and mapping analysis.
- Assess the quality of an ILI vendor's final inspection report.
- Plan a field validation program (dig plan) based on statistical sampling.
- Develop a long-term pigging strategy for an aging pipeline network.
TARGET AUDIENCE:
This course is intended for Pipeline Operators, Integrity Management Personnel, Maintenance Engineers, ILI Project Managers, and Data Analysts responsible for pipeline health monitoring.
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.

