Nonlinear Model Predictive Controller Applied to an Offshore Oil and Gas Production Facility Available to Purchase

In this work a nonlinear model predictive controller (NMPC) applied to an offshore petroleum production facility is presented. The facility was simulated using Hysys dynamic simulation, and the used NMPC controller with phenomenological mathematical model was the BRNMPC. Some comparisons were conducted regarding the use of NMPC, linear MPC and traditional PID controllers. The results showed that for level control of the separator vessels, the MPC and NMPC have similar performance, but for pressure vessel control, the NMPC are superior because the system has more nonlinearities and many information were lost in the linearization process.