This advanced five‑day program provides a complete understanding of automation and control systems used in beam pumping operations. The course covers digital monitoring, sensor integration, pump‑off controllers, SCADA systems, real‑time optimization, failure detection, and automated decision‑making. Participants will learn how modern automation enhances production efficiency, reduces equipment failures, and improves safety. Through hands‑on exercises, simulations, and case studies, participants gain the skills needed to design, operate, troubleshoot, and optimize automated beam pumping systems.
- Understand the principles of automation and control in beam pumping operations.
- Identify and configure sensors, controllers, and monitoring devices.
- Interpret real‑time data to diagnose downhole and surface issues.
- Apply pump‑off control logic and automated optimization techniques.
- Integrate beam pumping units with SCADA and remote monitoring systems.
- Troubleshoot automation failures and implement corrective actions.
Day 1 : Fundamentals of Beam Pump Automation
- Introduction to automation in artificial lift systems
- Overview of beam pumping automation architecture
- Types of controllers (POC, VFD‑based control, smart controllers)
- Sensor types: load cells, position sensors, vibration sensors, motor sensors
- Data acquisition fundamentals and signal processing
Day 2 : Sensors, Controllers & Real‑Time Monitoring
- Installation and calibration of load sensors and position sensors
- Motor control systems: VFDs, soft starters, and motor protection
- Real‑time monitoring parameters (load, position, torque, speed, stroke)
- Understanding surface and downhole data streams
- Alarm systems, thresholds, and automated shutdown logic
Day 3 : Pump‑Off Control Logic & Automated Diagnostics
- Pump‑off control principles and algorithms
- Identifying pump‑off, fluid pound, gas interference, and rod‑string issues
- Automated dynamometer card interpretation
- Controller decision‑making logic and optimization cycles
- Failure detection using automated data patterns
Day 4 : SCADA Integration & Remote Operations
- SCADA system architecture and communication protocols
- Remote monitoring dashboards and control interfaces
- Data transmission, polling rates, and communication reliability
- Cybersecurity considerations for automated pumping systems
- Remote troubleshooting and intervention procedures
Day 5 : Optimization, Maintenance & Advanced Automation
- Automated optimization strategies for production improvement
- Predictive maintenance using sensor data and trend analysis
- Balancing pumping units using automated tools
- AI‑assisted decision‑making and next‑generation automation
- Developing automation SOPs and maintenance workflows
- Production Engineers
- Artificial Lift Engineers
- Automation & Control Engineers
- Field Operators and Technicians
- Maintenance Personnel
- Oilfield Supervisors and Team Leaders