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| Training Mode | Platform | Fee | Enroll |
|---|---|---|---|
| Online Training | Zoom/ Google Meet | 900USD | Register |
| Course Date | Location | Fee | Enroll |
|---|---|---|---|
| 28/09/2026 to 02/10/2026 | Nairobi | 1,500 USD | Register |
| 28/09/2026 to 02/10/2026 | Mombasa | 1,750 USD | Register |
| 28/09/2026 to 02/10/2026 | Dubai | 4,900 USD | Register |
| 26/10/2026 to 30/10/2026 | Nairobi | 1,500 USD | Register |
| 26/10/2026 to 30/10/2026 | Mombasa | 1,750 USD | Register |
| 23/11/2026 to 27/11/2026 | Nairobi | 1,500 USD | Register |
| 23/11/2026 to 27/11/2026 | Mombasa | 1,750 USD | Register |
| 23/11/2026 to 27/11/2026 | Kigali | 2,500 USD | Register |
| 28/12/2026 to 01/01/2027 | Nairobi | 1,500 USD | Register |
| 28/12/2026 to 01/01/2027 | Dubai | 4,900 USD | Register |
| 28/12/2026 to 01/01/2027 | Mombasa | 1,750 USD | Register |
| 25/01/2027 to 29/01/2027 | Nairobi | 1,500 USD | Register |
| 22/02/2027 to 26/02/2027 | Nairobi | 1,500 USD | Register |
| 22/03/2027 to 26/03/2027 | Nairobi | 1,500 USD | Register |
| 26/04/2027 to 30/04/2027 | Nairobi | 1,500 USD | Register |
Course Introduction
Production engineering plays a critical role in maximizing oil and gas asset value by improving well productivity, optimizing production systems, and ensuring efficient hydrocarbon recovery. The Production Engineering and Well Performance Optimization Training Course provides participants with advanced knowledge and practical skills required to analyze well performance, identify production challenges, and implement effective optimization strategies throughout the production life cycle.
Efficient production operations require a strong understanding of reservoir behavior, well completion systems, artificial lift technologies, flow assurance, and production monitoring techniques. This course enables participants to evaluate well performance, diagnose production problems, optimize operating conditions, and apply engineering solutions that enhance recovery, reduce downtime, and improve overall field profitability.
The course provides detailed instruction on production system analysis, inflow and outflow performance relationships, nodal analysis, well testing, production forecasting, artificial lift selection, and optimization methods. Participants will learn how production engineers assess well behavior, identify constraints, and develop strategies to improve oil and gas production performance using practical engineering approaches.
Modern production environments increasingly rely on digital technologies, real-time surveillance systems, advanced analytics, automation, and artificial intelligence to improve operational decisions. This training introduces emerging production optimization technologies, digital oilfield solutions, smart monitoring systems, and data-driven approaches that support improved production management and enhanced asset performance.
The oil and gas industry faces challenges such as declining production rates, mature fields, increasing operational costs, complex reservoirs, flow assurance issues, and the need for sustainable energy practices. This course addresses these challenges by presenting advanced production engineering methods, optimization techniques, innovative technologies, and industry best practices for achieving reliable and efficient production operations.
Upon successful completion of the course, participants will possess the technical expertise required to evaluate and optimize oil and gas well performance. They will be capable of analyzing production data, identifying operational limitations, selecting appropriate improvement methods, and contributing to safer, more efficient, and economically sustainable petroleum production activities.
Duration
5 days
Who Should Attend
Production engineers involved in oil and gas operations
Petroleum engineers seeking advanced production optimization skills
Reservoir engineers requiring production performance knowledge
Well completion engineers and specialists
Artificial lift engineers and technical personnel
Field production supervisors and operators
Asset managers and petroleum project leaders
Well intervention and stimulation professionals
Oilfield service company engineers
Production data analysts and digital oilfield specialists
Energy consultants and technical advisors
Graduate students specializing in petroleum engineering
Course Objectives
Develop comprehensive knowledge of production engineering principles and their application in oil and gas operations.
Understand well performance factors affecting productivity, efficiency, and long-term production sustainability.
Apply production analysis techniques to identify well constraints and optimize operational performance.
Analyze inflow and outflow relationships using engineering methods for production system evaluation.
Understand artificial lift technologies and selection methods for improving declining well performance.
Develop skills in diagnosing production problems including pressure losses, restrictions, and flow challenges.
Explore advanced digital technologies supporting real-time production monitoring and optimization decisions.
Evaluate production data and apply forecasting methods for improved operational planning.
Understand flow assurance challenges and strategies for maintaining reliable production systems.
Build professional capability to support efficient, safe, and profitable petroleum production management.
Course Outline
Module 1: Fundamentals of Production Engineering
Introduction to production engineering concepts and their role in petroleum field operations
Understanding the complete production system from reservoir to surface facilities
Overview of production engineering responsibilities and operational workflows
Key factors influencing well productivity and production efficiency
Module 2: Well Performance Analysis and Evaluation
Understanding well productivity concepts and factors affecting production rates
Application of inflow performance relationship analysis for well evaluation
Evaluating production decline behavior and performance limitations
Using production data to identify optimization opportunities
Module 3: Nodal Analysis and Production System Optimization
Principles of nodal analysis for evaluating complete production systems
Understanding pressure losses through reservoir, tubing, and surface equipment
Applying optimization techniques to improve well deliverability
Using engineering models for production performance prediction
Module 4: Well Testing and Production Diagnostics
Fundamentals of well testing methods and production evaluation techniques
Interpreting pressure and production data for well diagnosis
Identifying formation and completion-related production problems
Applying diagnostic methods to improve well performance
Module 5: Artificial Lift Systems and Applications
Understanding artificial lift methods used in oil and gas production
Selection criteria for pumps and lift systems under different conditions
Optimizing artificial lift performance for mature and declining wells
Managing operational challenges affecting artificial lift reliability
Module 6: Well Completion and Production Enhancement
Understanding completion designs affecting production performance
Evaluating stimulation methods for improving well productivity
Managing completion-related production limitations and challenges
Applying production enhancement techniques in field operations
Module 7: Flow Assurance and Production Reliability
Understanding flow assurance challenges in oil and gas production systems
Managing hydrates, wax deposition, corrosion, and scale formation issues
Applying prevention strategies to maintain production reliability
Improving operational performance through effective flow management
Module 8: Production Surveillance and Data Analysis
Implementing production monitoring systems for performance evaluation
Analyzing operational data to identify production improvement areas
Applying advanced analytics for production decision support
Developing effective production reporting and performance tracking methods
Module 9: Digital Production Optimization Technologies
Applications of artificial intelligence and machine learning in production engineering
Using digital oilfield technologies for real-time optimization
Integrating automated monitoring systems into production operations
Applying data-driven methods for improved asset management
Module 10: Emerging Trends in Production Engineering
Challenges of mature fields and declining reservoir productivity management
Sustainable production practices and energy efficiency improvements
Advances in smart wells and automated production systems
Future developments shaping petroleum production optimization
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.
| Training Mode | Platform | Fee | Enroll |
|---|---|---|---|
| Online Training | Zoom/ Google Meet | 900USD | Register |
| Course Date | Location | Fee | Enroll |
|---|---|---|---|
| 28/09/2026 to 02/10/2026 | Nairobi | 1,500 USD | Register |
| 28/09/2026 to 02/10/2026 | Mombasa | 1,750 USD | Register |
| 28/09/2026 to 02/10/2026 | Dubai | 4,900 USD | Register |
| 26/10/2026 to 30/10/2026 | Nairobi | 1,500 USD | Register |
| 26/10/2026 to 30/10/2026 | Mombasa | 1,750 USD | Register |
| 23/11/2026 to 27/11/2026 | Nairobi | 1,500 USD | Register |
| 23/11/2026 to 27/11/2026 | Mombasa | 1,750 USD | Register |
| 23/11/2026 to 27/11/2026 | Kigali | 2,500 USD | Register |
| 28/12/2026 to 01/01/2027 | Nairobi | 1,500 USD | Register |
| 28/12/2026 to 01/01/2027 | Dubai | 4,900 USD | Register |
| 28/12/2026 to 01/01/2027 | Mombasa | 1,750 USD | Register |
| 25/01/2027 to 29/01/2027 | Nairobi | 1,500 USD | Register |
| 22/02/2027 to 26/02/2027 | Nairobi | 1,500 USD | Register |
| 22/03/2027 to 26/03/2027 | Nairobi | 1,500 USD | Register |
| 26/04/2027 to 30/04/2027 | Nairobi | 1,500 USD | Register |
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