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Remote Leak Detection of Gases and Fluids

19 – 23 Jan. 2026, Abu Dhabi20 – 24 July 2026, Abu Dhabi

COURSE OVERVIEW:

In hazardous industrial environments, the ability to detect leaks from a safe distance is critical for personnel safety, environmental compliance, and asset integrity. This course provides a comprehensive technical guide to the latest remote leak detection technologies for both gaseous emissions and fluid releases. Participants will explore the physics of leak signatures and the advanced sensor technologies utilized to monitor extensive piping networks, storage facilities, and process units without direct physical contact.

 

The scope of this training encompasses a wide range of remote sensing modalities, including Optical Gas Imaging (OGI), infrared thermography, and ultrasonic acoustic detection. We will examine the application of laser-based systems and satellite-derived leak monitoring for large-scale infrastructure. The course details the methodology for identifying fugitive emissions and high-pressure fluid sprays, teaching participants how to interpret visual and acoustic data to pinpoint the exact source of a breach in complex mechanical systems.

 

Coverage includes the integration of remote leak detection into existing safety management systems and the development of rapid response protocols. Attendees will learn about the regulatory requirements for leak detection and repair (LDAR) and how remote technologies can streamline compliance audits. By mastering these remote detection techniques, participants will be equipped to reduce the risk of fire, explosion, and environmental contamination while improving the overall efficiency of their plant’s containment strategies.

 

COURSE OBJECTIVES:

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

  • Identify the advantages and limitations of remote leak detection technologies.
  • Understand the physics of gas absorption and infrared radiation in OGI.
  • Utilize Optical Gas Imaging (OGI) cameras to detect fugitive emissions.
  • Apply long-range ultrasonic sensors to identify high-pressure gas leaks.
  • Interpret thermographic data to find fluid leaks under insulation (CUI).
  • Utilize laser absorption spectroscopy for remote detection of methane.
  • Evaluate the effectiveness of drone-mounted leak detection systems.
  • Differentiate between point sensors and open-path remote sensors.
  • Implement Leak Detection and Repair (LDAR) programs using remote tools.
  • Analyze the environmental factors that influence the accuracy of remote sensors.
  • Identify the signatures of hazardous gases such as H2S and hydrocarbons.
  • Coordinate remote leak detection surveys for large-scale pipeline networks.
  • Justify the investment in remote sensing for high-risk industrial zones.
  • Develop emergency response plans based on remote detection data.

 

TARGET AUDIENCE:

HSE Professionals, Inspection Engineers, Maintenance Technicians, Pipeline Operators, and Environmental Compliance Officers in the oil, gas, and chemical sectors.

 

TRAINING COURSE METHODOLOGY:

A highly interactive combination of lectures, discussion sessions, and case studies will be employed to maximise 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.

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