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The occurrence of slug flow is a common problem arising in the oil well riser pipeline. To eliminate such slug flow, various control structures along with state estimation are designed and compared in this paper. Nonlinear model based predictive scheme are compared with classical PI controllers for three different control structures. One of the control structure is based on controlling the mass of the liquid in the riser pipeline, for which, an Unscented Kalman Filter is designed to estimate the mass. The simulation results show that the model based controllers perform relatively better than the classical controllers. Although computationally expensive, the control algorithm used in this paper for model based control still makes it real time implementable.

Simulation of Control Structures for Slug Flow in Riser during Oil Production