COURSE OVERVIEW:

The purpose of this course is to provide an in-depth exploration of the cutting-edge technologies and methodologies used to measure fluid flow and identify system breaches in complex industrial piping. As infrastructure ages and environmental regulations tighten, the ability to achieve high-precision flow data while simultaneously detecting the smallest leaks is paramount. This program focuses on the transition from traditional mechanical metering to modern, non-intrusive, and digital sensing solutions that offer superior reliability and diagnostic insight.

The scope of this training encompasses advanced flow measurement techniques such as multi-path ultrasonic, sonar-based metering, and high-frequency Coriolis sensors. Participants will explore the integration of these meters with sophisticated leakage detection systems (LDS) that utilize pressure wave analysis, mass balance, and fiber-optic sensing. The curriculum is designed to address the challenges of detecting "silent" leaks in underground pipelines, high-pressure networks, and hazardous fluid distribution systems where traditional methods often fail.

Coverage includes the practical application of Internet of Things (IoT) sensors, acoustic emission analysis, and thermal imaging for real-time leak localized detection. Attendees will learn how to utilize machine learning algorithms for pattern recognition in flow data, implement automated shut-off sequences, and conduct ultrasonic audits for compressed air and steam systems. By focusing on these emerging techniques, the course ensures that participants can modernize their facility's monitoring capabilities to minimize product loss and maximize environmental safety.

COURSE OBJECTIVES:

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

• Analyze the limitations of traditional flow metering in leak detection.
• Evaluate advanced non-intrusive technologies such as Sonar and Clamp-on Ultrasonic.
• Implement Mass Balance and Pressure Point Analysis (PPA) for Leak Detection.
• Utilize Fiber Optic Distributed Acoustic Sensing (DAS) for pipeline integrity.
• Identify leaks using Ultrasonic Acoustic Emission and Thermal Imaging.
• Configure IoT-enabled flow sensors for remote and dispersed networks.
• Utilize Statistical Leak Detection (SLD) to reduce false alarm rates.
• Calculate the "Minimum Detectable Leak" for various system architectures.
• Implement automated isolation strategies following leak confirmation.
• Audit compressed air and steam systems for energy-saving leak repairs.
• Analyze the role of Machine Learning in flow pattern recognition.
• Ensure compliance with environmental and pipeline safety regulations.

TARGET AUDIENCE:

This course is intended for Pipeline Engineers, Maintenance Managers, Energy Auditors, and Instrumentation Specialists focused on loss prevention.

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.