+254 721 331 808    training@upskilldevelopment.com

Artificial Lift Systems Selection and Troubleshooting Training Course

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Course Duration 5 Days

Online Training Registration

Training Mode Platform Fee Enroll
Online Training Zoom/ Google Meet 900USD Register

Classroom/On-site Training Schedule

Course Date Location Fee Enroll
07/09/2026 to 11/09/2026 Nairobi 1,500 USD Register
07/09/2026 to 11/09/2026 Mombasa 1,750 USD Register
07/09/2026 to 11/09/2026 Dubai 4,900 USD Register
05/10/2026 to 09/10/2026 Nairobi 1,500 USD Register
05/10/2026 to 09/10/2026 Mombasa 1,750 USD Register
02/11/2026 to 06/11/2026 Nairobi 1,500 USD Register
02/11/2026 to 06/11/2026 Mombasa 1,750 USD Register
02/11/2026 to 06/11/2026 Kigali 2,500 USD Register
07/12/2026 to 11/12/2026 Nairobi 1,500 USD Register
07/12/2026 to 11/12/2026 Nairobi 1,500 USD Register
07/12/2026 to 11/12/2026 Mombasa 1,750 USD Register

Course Introduction

Artificial lift systems are essential technologies used to enhance hydrocarbon production from oil and gas wells when natural reservoir energy becomes insufficient to deliver fluids efficiently. The Artificial Lift Systems Selection and Troubleshooting Training Course provides participants with comprehensive knowledge and practical skills required to select, operate, monitor, and troubleshoot artificial lift systems for improved well productivity and production reliability.

As oil and gas fields mature, declining reservoir pressure and changing production conditions create increasing challenges for maintaining optimal flow rates. This course enables participants to understand different artificial lift methods, including electrical submersible pumps, gas lift systems, rod pumps, progressive cavity pumps, and other advanced technologies used to sustain production from challenging wells.

The course provides detailed instruction on artificial lift selection criteria, system design principles, operational performance evaluation, failure diagnosis, and optimization strategies. Participants will learn how engineers analyze reservoir conditions, well characteristics, production data, and operating constraints to select the most suitable artificial lift solution for specific field applications.

Modern production operations increasingly integrate digital monitoring systems, automation, predictive analytics, and smart well technologies to improve artificial lift performance. This training introduces emerging approaches such as real-time surveillance, artificial intelligence-based diagnostics, remote optimization, and advanced control systems that support efficient and reliable production management.

The oil and gas industry faces challenges including declining well performance, high operating costs, equipment failures, complex production environments, and the need for improved energy efficiency. This course addresses these issues by presenting advanced troubleshooting methods, preventive maintenance practices, optimization techniques, and industry best practices for maximizing artificial lift system performance.

Upon successful completion of the course, participants will have the technical expertise required to evaluate, select, and optimize artificial lift systems effectively. They will be capable of diagnosing operational problems, improving equipment reliability, reducing production losses, and supporting efficient petroleum production activities.

Duration

5 days

Who Should Attend

  • Production engineers responsible for oil and gas well performance

  • Petroleum engineers involved in production optimization activities

  • Artificial lift engineers and specialists

  • Well completion engineers and intervention professionals

  • Field production supervisors and operators

  • Reservoir engineers requiring artificial lift knowledge

  • Maintenance engineers working with production equipment

  • Oilfield service company technical personnel

  • Asset managers and petroleum project leaders

  • Production optimization consultants

  • Digital oilfield and production data specialists

  • Graduate students specializing in petroleum engineering

Course Objectives

  • Develop comprehensive knowledge of artificial lift technologies and their applications in oil and gas production operations.

  • Understand selection criteria for different artificial lift systems based on reservoir and well conditions.

  • Analyze artificial lift performance data to identify operational limitations and improvement opportunities.

  • Apply troubleshooting methods to diagnose artificial lift failures and production challenges effectively.

  • Understand design principles and operating characteristics of major artificial lift technologies.

  • Evaluate electrical submersible pumps, gas lift, rod pumps, and other lift system applications.

  • Develop skills in optimizing artificial lift performance through monitoring and operational adjustments.

  • Explore digital technologies and predictive analytics used for modern artificial lift management.

  • Understand preventive maintenance strategies that improve equipment reliability and reduce downtime.

  • Build professional capability to support efficient, safe, and cost-effective artificial lift operations.

Course Outline

Module 1: Fundamentals of Artificial Lift Systems

  • Introduction to artificial lift principles and their importance in oil and gas production operations

  • Understanding reservoir conditions that require artificial lift implementation

  • Overview of major artificial lift technologies and operational applications

  • Factors influencing artificial lift system performance and reliability

Module 2: Artificial Lift System Selection Principles

  • Evaluating reservoir and well characteristics for suitable lift system selection

  • Understanding production requirements influencing artificial lift design decisions

  • Comparing advantages and limitations of different artificial lift technologies

  • Applying engineering criteria for selecting efficient lift solutions

Module 3: Electrical Submersible Pump Systems

  • Understanding ESP components, operating principles, and production applications

  • Evaluating ESP design factors affecting pump performance and reliability

  • Identifying common ESP operational problems and failure mechanisms

  • Applying optimization methods for improving ESP production performance

Module 4: Gas Lift Systems and Optimization

  • Fundamentals of gas lift operations and production enhancement mechanisms

  • Understanding gas injection requirements and system design considerations

  • Diagnosing gas lift performance problems and operational limitations

  • Applying gas lift optimization techniques for improved well productivity

Module 5: Rod Pump and Mechanical Lift Systems

  • Understanding sucker rod pump components and operating principles

  • Evaluating rod pump performance under different production conditions

  • Identifying mechanical failures and troubleshooting production issues

  • Improving reliability through effective operating practices

Module 6: Artificial Lift Troubleshooting and Diagnostics

  • Identifying common artificial lift failures affecting production performance

  • Applying diagnostic techniques using operational and production data

  • Understanding equipment malfunction causes and corrective actions

  • Developing systematic approaches for artificial lift problem solving

Module 7: Artificial Lift Monitoring and Performance Evaluation

  • Implementing surveillance methods for artificial lift system assessment

  • Analyzing production trends and equipment performance indicators

  • Using field data to support optimization and maintenance decisions

  • Improving production reliability through continuous monitoring practices

Module 8: Artificial Lift Maintenance and Reliability Management

  • Developing preventive maintenance strategies for artificial lift equipment

  • Understanding failure prevention methods and reliability improvement practices

  • Managing equipment lifecycle and replacement planning

  • Reducing downtime through effective maintenance programs

Module 9: Digital Technologies in Artificial Lift Operations

  • Applications of real-time monitoring systems for lift optimization

  • Using artificial intelligence for predictive failure detection

  • Digital tools supporting automated artificial lift management

  • Integrating production analytics into operational decision-making

Module 10: Emerging Trends in Artificial Lift Technology

  • Advances in smart artificial lift systems and autonomous optimization

  • Energy-efficient technologies improving production sustainability

  • Challenges of artificial lift applications in unconventional reservoirs

  • Future innovations shaping artificial lift system development

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue 

The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.

Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment:

Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.

Course Duration 5 Days

Online Training Registration

Training Mode Platform Fee Enroll
Online Training Zoom/ Google Meet 900USD Register

Classroom/On-site Training Schedule

Course Date Location Fee Enroll
07/09/2026 to 11/09/2026 Nairobi 1,500 USD Register
07/09/2026 to 11/09/2026 Mombasa 1,750 USD Register
07/09/2026 to 11/09/2026 Dubai 4,900 USD Register
05/10/2026 to 09/10/2026 Nairobi 1,500 USD Register
05/10/2026 to 09/10/2026 Mombasa 1,750 USD Register
02/11/2026 to 06/11/2026 Nairobi 1,500 USD Register
02/11/2026 to 06/11/2026 Mombasa 1,750 USD Register
02/11/2026 to 06/11/2026 Kigali 2,500 USD Register
07/12/2026 to 11/12/2026 Nairobi 1,500 USD Register
07/12/2026 to 11/12/2026 Nairobi 1,500 USD Register
07/12/2026 to 11/12/2026 Mombasa 1,750 USD Register

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