In the upstream oil and gas sector, optimizing production from subsurface reservoirs to surface processing facilities is both a technical challenge and a business imperative. As global energy demand continues to drive hydrocarbon exploration and development, the role of Production Engineering becomes increasingly vital. Pideya Learning Academy introduces the Production Engineering for Oil and Gas Processing Systems training course—an intensive learning experience that equips professionals with advanced knowledge and system-based strategies to manage well performance, production efficiency, and overall field productivity.
According to the International Energy Agency (IEA), oil and gas continue to fulfill over 50% of the global energy mix in 2024, with petroleum accounting for approximately 31% of primary energy consumption. Meanwhile, Statista data indicates that global crude oil production reached an average of 94.4 million barrels per day in 2023. These figures underscore the immense operational scale, engineering complexity, and strategic significance of well-managed production systems. In this context, skilled production engineers are essential to ensuring optimized recovery, minimized downtime, and economically sound decision-making.
This course begins by grounding participants in reservoir behavior, material balance principles, and pressure-volume-temperature (PVT) fundamentals. As the learning progresses, the focus shifts toward well completion design, multiphase flow dynamics, inflow and outflow performance, and flow assurance strategies. Participants will engage with critical elements such as well testing, tubing string analysis, production optimization workflows, and artificial lift mechanisms—including electric submersible pumps (ESPs), rod pumping systems, and gas lift technologies. These topics are approached not only from a technical standpoint but also from an asset management and economic efficiency perspective.
One of the standout aspects of this course is its integrated, field-relevant structure. Real-world scenarios, visual technical explanations, and analytical tools are woven throughout the modules to create a comprehensive and engaging learning path. The course emphasizes the importance of nodal analysis, real-time production surveillance, and intervention planning—techniques that enable engineers to maintain well integrity, diagnose bottlenecks, and propose viable mitigation strategies.
Participants will also explore the digital transformation of production systems, gaining exposure to the latest innovations in field data analytics, remote monitoring, and performance modeling. Understanding how to use data effectively to predict failures, assess system performance, and drive operational improvements is a key skill emphasized throughout the training.
Key highlights embedded in this program include:
A system-wide approach connecting subsurface reservoirs to surface processing units
Advanced techniques for assessing and improving well deliverability
In-depth coverage of artificial lift selection and performance analysis
Troubleshooting production bottlenecks through nodal and diagnostic analysis
Strategic use of production data to support engineering decisions
Detailed focus on wellbore integrity and flow assurance
Application of digital tools for real-time production monitoring and optimization
By the end of this Pideya Learning Academy course, professionals will have developed the capability to interpret complex production systems, collaborate across disciplines, and support sustainable field development through informed engineering decisions.

Key Takeaways:

• A system-wide approach connecting subsurface reservoirs to surface processing units
• Advanced techniques for assessing and improving well deliverability
• In-depth coverage of artificial lift selection and performance analysis
• Troubleshooting production bottlenecks through nodal and diagnostic analysis
• Strategic use of production data to support engineering decisions
• Detailed focus on wellbore integrity and flow assurance
• Application of digital tools for real-time production monitoring and optimization

• A system-wide approach connecting subsurface reservoirs to surface processing units
• Advanced techniques for assessing and improving well deliverability
• In-depth coverage of artificial lift selection and performance analysis
• Troubleshooting production bottlenecks through nodal and diagnostic analysis
• Strategic use of production data to support engineering decisions
• Detailed focus on wellbore integrity and flow assurance
• Application of digital tools for real-time production monitoring and optimization