ESP Troubleshooting in Artificial Lift Operations

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Instructor Name

Eng. Mohamed Gouda

Start Date

07/06/2025

End Date

07/10/2025

Category

Oil & Gas

Country

Cairo

Course Overview

This specialized course is designed to equip engineers, operators, and maintenance professionals with the knowledge and skills needed to effectively troubleshoot Electrical Submersible Pump (ESP) systems in artificial lift operations. The course focuses on diagnosing operational issues, identifying root causes of ESP failures, and applying best practices in maintenance and optimization to ensure reliable production.

Course Objectives

By the end of this course, participants will be able to:
• Understand the key components and operation principles of ESP systems.
• Identify common failure modes and symptoms in ESP operations.
• Apply systematic troubleshooting techniques to diagnose ESP performance issues.
• Interpret ESP performance curves and well parameters for optimization.
• Implement preventive maintenance strategies to extend ESP run life.
• Utilize field data and software tools to support troubleshooting decisions.

Course Outline

1. Fundamentals of ESP Systems in Artificial Lift
2. Common ESP Failure Modes and Root Causes
3. Troubleshooting Techniques and Diagnostic Procedures
4. Monitoring Tools and Data Interpretation
5. Maintenance Best Practices and Optimization Strategies
6. Case Studies and Group Exercises

Target Audience

All supervisory levels, Petroleum engineers, production engineers, artificial lift specialists, field supervisors, and ESP maintenance personnel.

Methodology

Interactive lectures, real-world case studies, group discussions, practical exercises, and troubleshooting simulations.

Conclusion

Participants will gain actionable skills and troubleshooting methodologies that can be applied immediately to improve ESP reliability and field performance.

Daily Agenda

1 Day

Introduction to ESP Systems

2 Day

ESP Failure Modes

3 Day

Systematic Troubleshooting

4 Day

Optimization and Maintenance

5 Day

Case Studies and Simulations