Artificial Lift System Selection and Optimization Course
At a glance
- Duration
- 1 Week
- Format
- Classroom
- Cities
- Vienna, Amsterdam, Phuket, Cairo, Jakarta, Baku and more
- Next session
- 2 – 6 November 2026, Vienna
- Average fee
- 7,500 €
Overview
Artificial Lift System Selection and Optimization Training Course is a one-week course for petroleum engineers, production engineers, and well operations professionals, who leave with an Artificial Lift Decision and Optimization Pack. Participants compare lift methods, define operating envelopes, interpret surveillance evidence, diagnose performance loss, and select practical improvement actions. The course connects well conditions and production objectives with equipment constraints, reliability, energy use, and lifecycle economics. Agile Leaders Training Center presents artificial lift selection and optimization.
Who Should Attend
- Functions responsible for petroleum production planning and well performance
- Teams responsible for artificial lift design, selection, and lifecycle decisions
- Functions responsible for well operations, surveillance, and production optimization
- Teams responsible for completion, workover, and production-system reliability
- Functions responsible for field maintenance and lift-equipment performance
The course assumes participants already interpret basic well and production data and leaves out detailed equipment manufacturing, proprietary software certification, and site-specific installation authorization.
Departments and Industries
The course supports departments and industries that manage declining well pressure and lift-assisted hydrocarbon production.
- Upstream production engineering and petroleum engineering departments
- Well operations, completion, and workover functions
- Oilfield maintenance and reliability teams
- Integrated asset and production optimization groups
- Artificial lift service and equipment-support organizations
Learning Objectives
By the end of this course, participants will be able to:
- Relate inflow and outflow behavior to the need for artificial lift
- Compare gas lift, ESP, sucker-rod, PCP, plunger, and hydraulic lift operating envelopes
- Build an artificial lift system selection matrix from well, fluid, facility, and economic criteria
- Interpret artificial lift surveillance data and identify performance deterioration
- Diagnose common failure signatures and define proportionate corrective actions
- Prepare an artificial lift optimization plan with monitoring and review criteria
Course Agenda
Day 1: Well Performance and Lift Selection Basis
- Reservoir Inflow Performance Relationship and Production Target
- Vertical Lift Performance and Nodal Analysis Workflow
- Natural-Flow Decline and Artificial Lift Trigger Criteria
- Well, Fluid, Completion, Facility, and HSE Constraint Register
- Artificial Lift System Selection Matrix and Lifecycle Economics
Day 2: Gas Lift and Hydraulic Lift Applications
- Continuous and Intermittent Gas Lift Operating Principles
- Gas Lift Mandrels, Valves, Injection Pressure, and Allocation
- API RP 11V5 Surveillance and Troubleshooting Considerations
- Gas Lift Performance Plot and Injection-Rate Optimization
- Hydraulic Piston, Jet Pump, and Plunger Lift Application Review
Day 3: ESP and Progressive Cavity Pump Systems
- Electric Submersible Pump System Components and Operating Envelope
- Pump Curve, Head, Rate, Staging, Motor, and Cable Considerations
- Gas Interference, Solids, Scale, Temperature, and Power Quality
- Progressive Cavity Pump Rotor-Stator and Drive Configuration
- ESP and PCP Surveillance Dashboard and Failure Signature Map
Day 4: Sucker-Rod Pumping and System Diagnostics
- Sucker-Rod Pumping Unit, Rod String, Tubing, and Downhole Pump
- Stroke, Speed, Pump Fillage, Load, and Fluid-Level Interpretation
- Dynamometer Card Interpretation and Operating Condition Diagnosis
- Rod, Tubing, Pump, Gas Interference, and Mechanical Failure Modes
- Reliability, Energy, Workover, and Run-Life Improvement Actions
Day 5: Surveillance, Optimization, and Decision Practice
- Artificial Lift Surveillance Data Quality and Exception Rules
- Performance Baseline, KPI, Alarm, and Review Frequency Design
- Optimization Opportunity Register and Constraint-Based Prioritization
- Exercise: Diagnose Underperforming Lift-System Scenarios
- Capstone Exercise: Artificial Lift Decision and Optimization Pack
Practical Exercises
The course uses suggested activities based on fictional onshore and offshore production scenarios.
- Suggested activity: build a nodal-analysis evidence sheet and identify when natural flow no longer meets the production target.
- Suggested activity: compare gas lift, ESP, sucker-rod, PCP, plunger, and hydraulic options with a weighted selection matrix.
- Suggested activity: interpret surveillance trends, pump curves, injection data, and simplified dynamometer cards.
- Suggested activity: convert a failure signature into checks, safeguards, corrective action, and post-action monitoring.
- Suggested activity: prepare an artificial lift optimization plan covering opportunity, owner, risk, economics, and verification.
FAQs
Who suits artificial lift system selection training?
Artificial lift system selection training suits engineers and operations professionals who evaluate well performance, compare lift methods, monitor producing wells, or support reliability and workover decisions.
How are artificial lift methods compared in the course?
Participants compare operating envelope, production rate, depth, fluid properties, gas and solids handling, completion constraints, surface infrastructure, reliability, energy demand, intervention needs, and lifecycle economics.
Does the course cover artificial lift troubleshooting?
Yes. Artificial lift troubleshooting uses surveillance trends and method-specific evidence to distinguish inflow, outflow, gas-handling, power, mechanical, equipment, and operating problems before selecting corrective actions.
What is included in artificial lift optimization?
Artificial lift optimization connects a validated performance baseline with production targets, constraints, injection or operating settings, energy use, reliability, intervention risk, economics, and post-change verification.
Conclusion
Participants take an Artificial Lift Decision and Optimization Pack back to work. It combines a constraint register, artificial lift system selection matrix, surveillance dashboard, failure signature map, optimization opportunity register, and implementation review criteria. The pack turns method comparison and performance evidence into a structured selection, troubleshooting, and optimization workflow.
credits: 5 credit per day
Course Mode: full-time
Provider: Agile Leaders Training Center
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Events for this Course
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Vienna 2 – 6 November 2026
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Amsterdam 9 – 13 November 2026
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Phuket 15 – 19 November 2026
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Cairo 23 – 27 November 2026
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Jakarta 23 – 27 November 2026
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Baku 30 November – 4 December 2026
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London 7 – 11 December 2026
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Abu Dhabi 7 – 11 December 2026
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Trabzon 13 – 17 December 2026
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Istanbul 21 – 25 December 2026
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Geneva 27 – 31 December 2026
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Porto 4 – 8 January 2027
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Johannesburg 10 – 14 January 2027
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San Diego 18 – 22 January 2027
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Toronto 24 – 28 January 2027
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London 25 – 29 January 2027
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Munich 1 – 5 February 2027
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Cape town 7 – 11 February 2027
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Bali 14 – 18 February 2027
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Paris 22 – 26 February 2027
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Milan 22 – 26 February 2027
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Tashkent 28 February – 4 March 2027
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Accra 14 – 18 March 2027
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Frankfurt 29 March – 2 April 2027
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Kuwait 4 – 8 April 2027
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Chicago 11 – 15 April 2027
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Seoul 19 – 23 April 2027
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Tokyo 26 – 30 April 2027
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Bangkok 2 – 6 May 2027
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Lagos 9 – 13 May 2027
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Abu Dhabi 17 – 21 May 2027
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Addis Ababa 24 – 28 May 2027
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Doha 30 May – 3 June 2027
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Dubai 14 – 18 June 2027
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Madrid 14 – 18 June 2027
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Tbilisi 28 June – 2 July 2027
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Berlin 5 – 9 July 2027
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Langkawi 11 – 15 July 2027
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Muscat 18 – 22 July 2027
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Barcelona 19 – 23 July 2027
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New York 26 – 30 July 2027
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Lisbon 2 – 6 August 2027
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Dubai 9 – 13 August 2027
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Manama 15 – 19 August 2027
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Rome 23 – 27 August 2027
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Zoom 23 – 27 August 2027
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Montreux 30 August – 3 September 2027
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Sharm El-Sheikh 6 – 10 September 2027
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Athens 6 – 10 September 2027
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Kuala Lumpur 13 – 17 September 2027
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Nice 13 – 17 September 2027
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Nairobi 19 – 23 September 2027
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Zanzibar 26 – 30 September 2027
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Amman 3 – 7 October 2027
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Casablanca 11 – 15 October 2027
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Prague 18 – 22 October 2027
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Singapore 25 – 29 October 2027
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Marbella 31 October – 4 November 2027
| Image | Location | Dates | Duration | Mode | Price | Actions |
|---|---|---|---|---|---|---|
|
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Milan |
Week 08, 2027 22 – 26 February 2027 |
1 Week | Onsite | €7,000 | |
|
|
Tashkent |
Week 08, 2027 28 February – 4 March 2027 |
1 Week | Onsite | €8,000 | |
|
|
Accra |
Week 10, 2027 14 – 18 March 2027 |
1 Week | Onsite | €6,000 | |
|
|
Frankfurt |
Week 13, 2027 29 March – 2 April 2027 |
1 Week | Onsite | €6,500 | |
|
|
Kuwait |
Week 13, 2027 4 – 8 April 2027 |
1 Week | Onsite | €7,000 | |
|
|
Chicago |
Week 14, 2027 11 – 15 April 2027 |
1 Week | Onsite | €16,000 | |
|
|
Seoul |
Week 16, 2027 19 – 23 April 2027 |
1 Week | Onsite | €12,000 | |
|
|
Tokyo |
Week 17, 2027 26 – 30 April 2027 |
1 Week | Onsite | €12,000 | |
|
|
Bangkok |
Week 17, 2027 2 – 6 May 2027 |
1 Week | Onsite | €8,000 | |
|
|
Lagos |
Week 18, 2027 9 – 13 May 2027 |
1 Week | Onsite | €6,000 | |
|
|
Abu Dhabi |
Week 20, 2027 17 – 21 May 2027 |
1 Week | Onsite | €6,500 | |
|
|
Addis Ababa |
Week 21, 2027 24 – 28 May 2027 |
1 Week | Onsite | €6,000 | |
|
|
Doha |
Week 21, 2027 30 May – 3 June 2027 |
1 Week | Onsite | €7,000 | |
|
|
Dubai |
Week 24, 2027 14 – 18 June 2027 |
1 Week | Onsite | €6,500 | |
|
|
Madrid |
Week 24, 2027 14 – 18 June 2027 |
1 Week | Onsite | €6,500 | |
|
|
Tbilisi |
Week 26, 2027 28 June – 2 July 2027 |
1 Week | Onsite | €5,700 | |
|
|
Berlin |
Week 27, 2027 5 – 9 July 2027 |
1 Week | Onsite | €6,500 | |
|
|
Langkawi |
Week 27, 2027 11 – 15 July 2027 |
1 Week | Onsite | €8,000 | |
|
|
Muscat |
Week 28, 2027 18 – 22 July 2027 |
1 Week | Onsite | €6,500 | |
|
|
Barcelona |
Week 29, 2027 19 – 23 July 2027 |
1 Week | Onsite | €6,500 |
Frequently asked questions
What does this course cover?
OverviewArtificial Lift System Selection and Optimization Training Course is a one-week course for petroleum engineers, production engineers, and well operations professionals, who leave with an Artificial Lift Decision and Optimization Pack. Participants compare lift methods, define operating envelopes, interpret surveillance evidence, diagnose performan…
Are training dates available?
Yes. Available dates and destinations are listed in the course dates section on this page.
How can I register?
Choose an available date on this page and complete the registration form, or send a programme enquiry.
Can I download the course brochure?
Yes. Use the brochure download link provided on this page.
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