Non-Linear Model Predictive Control for Oil Production in Wells Using Electric Submersible Pumps

The oil production in wells using electric submersible pumps (ESPs) demands precise control of parameters within safety and efficiency constraints to minimise failures, extend equipment lifespan, and reduce costs. This study proposes a non-linear model predictive control (NMPC) system designed for ESP-lifted wells, leveraging pump frequency and choke valve adjustments to maximise production while adhering to operational limits. Tested on a simulated pilot plant using a first-principles model to predict key variables like flow and liquid column height, the NMPC demonstrated offset-free performance, effective disturbance rejection, and ensured stable, safe, and optimised operations, addressing challenges in nonlinear, constraint-intensive environments.