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Model-Free Predictive Anti-Slug Control of a Well-Pipeline-Riser

Dalen, Christer; Ruscio, David Luigi Di
Journal article, Peer reviewed
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2016MIC,Dalen,Ruscio-1-4.pdf (1.223Mb)
URI
http://hdl.handle.net/11250/2438473
Date
2016
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  • Institutt for elektro, IT, og kybernetikk [236]
Original version
Dalen, C., Ruscio, D. (2016). Model-Free Predictive Anti-Slug Control of a Well-Pipeline-Riser. Modeling Identification and Control, 37, 41-52.   DOI: 10.4173/mic.2016.1.4
Abstract
Simplified linearized discrete time dynamic state space models are developed for a 3-phase well-pipeline-riser and tested together with a high fidelity dynamic model built in K-Spice and LedaFlow. In addition the Meglio pipeline-riser model is used as an example process. These models are developed from a subspace algorithm, i.e. Deterministic and Stochastic system identification and Realization (DSR), and implemented in a Model Predictive Controller (MPC) for stabilizing the slugging regime. The MPC, LQR and PI control strategies are tested.

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