Model Order Reduction for Managed Pressure Drilling Systems based on a model with local nonlinearities

S. Naderi Lordejani, B. Besselink, M. H. Abbasi, G. O. Kaasa, W. H.A. Schilders, N. van de Wouw

Research output: Contribution to journalConference articleScientificpeer-review

8 Citations (Scopus)
55 Downloads (Pure)


Automated Managed Pressure Drilling (MPD) is a method for fast and accurate pressure control in drilling operations. The achievable performance of automated MPD is limited, firstly, by the control system and, secondly, by the hydraulics model based on which this control system is designed. Hence, an accurate hydraulics model is needed that, at the same time, is simple enough to allow for the use of high performance controller design methods. This paper presents an approach for nonlinear Model Order Reduction (MOR) for MPD systems. For a single-phase flow MPD system, a nonlinear model is derived that can be decomposed into a feedback interconnection of a high-order linear subsystem and low-order nonlinear subsystem. This structure, under certain conditions, allows for a nonlinear MOR procedure that preserves key system properties such as stability and provides a computable error bound. The effectiveness of this MOR method for MPD systems is illustrated through simulations.

Original languageEnglish
Pages (from-to)50-55
Issue number8
Publication statusPublished - 2018
Event3rd IFAC Workshop on Automatic Control in Offshore Oil and Gas Production OOGP 2018 - Esbjerg, Denmark
Duration: 30 May 20181 Jun 2018


  • Automatic Control
  • Managed Pressure Drilling
  • Model Order Reduction
  • Modeling


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