COURSE OVERVIEW:

Artificial Lift Fundamentals: Selection and Surveillance focuses on the engineering principles and operational strategies required to add energy to the fluid column in a wellbore when reservoir pressure is insufficient for natural flow. This topic is essential to the global upstream sector because over 90% of the world's oil wells require some form of artificial lift to remain economically viable. By mastering the selection process, organizations can avoid costly mismatched equipment and ensure that each well is equipped with the most efficient technology for its specific depth, fluid type, and production rate.

The scope of this course covers the technical mechanisms of all major lift types, including Gas Lift, Electric Submersible Pumps (ESP), Rod Lift, and Progressive Cavity Pumps (PCP). Key themes include the use of Nodal Analysis for lift design, the interpretation of downhole sensor data for real-time surveillance, and the management of gas interference and solids production. The syllabus emphasizes a lifecycle approach, moving from initial selection criteria based on reservoir decline curves to advanced troubleshooting techniques that extend the mean time between failures (MTBF).

Participants will apply the knowledge gained to perform detailed "what-if" scenarios for lift conversion and optimize daily production through advanced surveillance dashboards. These workflows lead to significant improvements in operational excellence by reducing energy consumption and minimizing well downtime. By mastering these fundamentals, professionals ensure that their assets maintain high-quality production standards and organizational profitability while strictly adhering to safety and environmental compliance during high-pressure lifting operations.

COURSE OBJECTIVES:

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

• Evaluate reservoir and wellbore conditions to determine the optimal artificial lift method.
• Design a comprehensive Gas Lift system including valve placement and injection rates.
• Optimize ESP performance by analyzing pump curves and motor frequency data.
• Implement Rod Lift surveillance using dynamometer cards and surface controller data.
• Manage PCP operations in high-viscosity and high-sand environments.
• Perform Nodal Analysis to identify system bottlenecks and lift inefficiencies.
• Troubleshoot common failure modes for each lift type to increase MTBF.
• Utilize real-time monitoring tools to conduct proactive well surveillance.
• Assess the economic impact of power consumption and chemical requirements for lift systems.
• Mitigate the risks of gas locking, cavitation, and scale deposition in lift equipment.
• Design hybrid lift systems for transition periods in the well's lifecycle.
• Execute detailed field audits of surface and subsurface lift components.
• Develop automated alerting systems for early detection of lift performance degradation.

TARGET AUDIENCE:

• Production Engineers
• Field Operations Supervisors
• Artificial Lift Technicians
• Asset Integrity Engineers
• Petroleum Technologists

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.