In the current pricing environment, cost savings and efficiency improvements are critical, and existing assets must be utilized to their fullest potential. Digital oilfield tools and techniques have proven effective in addressing optimization challenges in both conventional and unconventional production assets.

This one-day course provides an overview of Artificial Lift and Real-Time Optimization within the context of the Digital Oilfield. While traditional surface controls and remote management approaches remain important, modern production dynamics require greater integration of real-time downhole and surface sensing technologies. At the same time, many existing software tools are insufficient for fully analyzing and optimizing field data in dynamic operating environments.

The course is designed to give participants a practical overview of artificial lift challenges and production optimization strategies. With increasing pressure to optimize production under constrained cost conditions, it is essential to understand the opportunities and limitations associated with real-time measurements and optimization techniques.

In addition to covering the fundamentals of artificial lift and real-time monitoring, the training highlights how digital oilfield tools can be leveraged to improve performance. Topics include artificial lift selection, life-cycle analysis, and recent advances in real-time production monitoring and lift management, supported by field case studies.

The course concludes with an interactive session in which participants discuss their own operational challenges and explore practical strategies for implementing digital oilfield solutions in their assets.