By the end of this program, participants will be able to:
- Understand Artificial Lift Systems
- Design Artificial Lift Systems
- Evaluate Performance
- Optimize Pumping Operations
- Address Technical Challenges
DAY 1
Introduction to Artificial Lift Systems
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- Overview of artificial lift systems and their applications
- Types of artificial lift systems: Rod pumps, electric submersible pumps (ESP), progressive cavity pumps (PCP), and gas lift
- Key factors in selecting the right artificial lift system
- System components and operational basics
- Case studies on well selection for artificial lift
DAY 2
Pump Design & Selection
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- Design principles for various pumping systems
- Understanding fluid dynamics and pump performance curves
- Pump selection based on reservoir conditions (e.g., depth, flow rate, gas-to-liquid ratio)
- Sizing of artificial lift pumps and equipment
- Advanced pump selection criteria and best practices
- Hands-on exercise: Selecting the appropriate pumping system for a case study
DAY 3
Pumping System Optimization & Monitoring
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- Operational challenges and how to optimize artificial lift systems
- Monitoring techniques: Downhole sensors, surface monitoring, and diagnostic tools
- Performance indicators and troubleshooting methods
- Techniques to maximize pump efficiency and reliability
- Key factors affecting pump longevity and failure rates
- Real-time optimization using SCADA systems
DAY 4
Troubleshooting & Maintenance of Artificial Lift Systems
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- Common issues in artificial lift systems (e.g., pump failure, gas handling problems)
- Diagnosing and solving pump performance issues
- Maintenance practices for extending the life of artificial lift systems
- Gas handling in ESPs and rod pumps
- Well intervention techniques and repair options
- Hands-on exercise: Troubleshooting a faulty artificial lift system
DAY 5
Advanced Topics & Case Studies
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- Advanced topics in artificial lift: Gas lift optimization, ESP performance in high-volume wells
- Artificial lift in unconventional reservoirs (shale gas, tight gas)
- Performance forecasting and predictive maintenance
- Real-world case studies and lessons learned
- Group discussions on optimization strategies for specific field challenges
- Final assessment and Q&A session
