“Model-free optimal anti-slug control of a well-pipeline-riser in the K-Spice/LedaFlow simulator”

Authors: Christer Dalen, David Di Ruscio and Roar Nilsen,
Affiliation: Telemark University College and Kongsberg Oil and Gas Technologies
Reference: 2015, Vol 36, No 3, pp. 179-188.

Keywords: optimal controller, integral action, PI controller, Kalman filter, system identification, anti-slug, well-pipeline-riser

Abstract: Simplified 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. These models are developed from a subspace algorithm, i.e. Deterministic and Stochastic system identification and Realization (DSR), and implemented in a Linear Quadratic optimal Regulator (LQR) for stabilizing the slugging regime. We are comparing LQR with PI controller using different performance measures.

PDF PDF (1591 Kb)        DOI: 10.4173/mic.2015.3.5

DOI forward links to this article:
[1] Christer Dalen and David Di Ruscio (2016), doi:10.4173/mic.2016.1.4
[2] Christer Dalen and David Di Ruscio (2019), doi:10.4173/mic.2019.4.2
[3] Nour Bargoth, Christer Dalen and David Di Ruscio (2022), doi:10.4173/mic.2022.3.3
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  title={{Model-free optimal anti-slug control of a well-pipeline-riser in the K-Spice/LedaFlow simulator}},
  author={Dalen, Christer and Di Ruscio, David and Nilsen, Roar},
  journal={Modeling, Identification and Control},
  publisher={Norwegian Society of Automatic Control}