Simulation of Process to Control Severe Slugging: Application to the Dunbar Pipeline

Henriot, V.; Courbot, Anne; Heintze, Eric; Moyeux, L.

doi:10.2118/56461-ms

Cited by 26 publications

(14 citation statements)

References 7 publications

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“…The most efficient way to cope with slugging was found to be active feedback control of the production choke [12], [17], [18]. A common solution consists in applying a PI controller using the Riser Base Pressure (RBP) as the measured output.…”

Section: B Active Feedback Controlmentioning

confidence: 99%

Model-based control of slugging flow: An experimental case study

Meglio

Kaasa

Petit

et al. 2010

Proceedings of the 2010 American Control Conference

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Model-based control of slugging flow: an experimental case study Florent Di Meglio, Glenn-Ole Kaasa, Nicolas Petit, Vidar Alstad Abstract-In this paper, we compare two solutions for suppressing slug flow in pipes conveying a diphasic fluid by active feedback control of the outlet (production) choke. Conventionnaly, a non-collocated PI controller is used to stabilize the measured inlet pressure. Unfortunately, this method lacks robustness to changes in operating conditions and reveals difficult to calibrate. In this work, we propose a model-based approach to design a nonlinear state-feedback control law based on a first principles model of the slugging phenomenon. A theoretical proof of convergence of the closed-loop model is provided, as well as an experimental validation of these results on a mid-scale testbench.

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Section: B Active Feedback Controlmentioning

confidence: 99%

Model-based control of slugging flow: An experimental case study

Meglio

Kaasa

Petit

et al. 2010

Proceedings of the 2010 American Control Conference

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show abstract

“…Controller design, experiments and industrial implementations has been reported (Schmidt et al, 1979;Hedne and Linga, 1990;Hollenberg et al, 1995;Courbot, 1996;Henriot et al, 1999;Havre et al, 2000;Havre and Dalsmo, 2002;Kovalev et al, 2003;Skofteland and Godhavn, 2003;Storkaas et al, 2003). These control systems are designed either to keep the system away from the riser slugging conditions or to stabilize the unstable operating point existing at the same boundary conditions as riser slugging.…”

Section: Riser Slugging Phenomenonmentioning

confidence: 99%

“…Controllability data for the operating point Z = 30%, unstable poles at ω = 0.0038 ± 0.0115i for simplified model and ω = 0.0045 ± 0.0108 for PDE-based two-fluid model. inlet or riser base pressure is the most common industrial approach to stabilizing these systems (Courbot, 1996;Henriot et al, 1999;Havre et al, 2000;Havre and Dalsmo, 2002;Skofteland and Godhavn, 2003). A Bode plot for the process transfer function G(s) from input u = Z to measurement y = P I is shown in figure 6.…”

Section: Inlet Pressure P Imentioning

confidence: 99%

Controllability Analysis of an Unstable, Non-Minimum Phase Process

Storkaas

Skogestad

2005

IFAC Proceedings Volumes

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The choice of manipulated inputs and measured outputs can be critical for the successful design of a control system. This is especially the case when designing stabilizing controllers for unstable, non-minimum phase systems, as unstable poles combined with unstable zeros and time delay can render stabilizing control very hard. Since the presence and location of unstable zeros and time delay usually depends on the choice of measurements and control actuators, a thorough analysis prior to the actual controller design is important. In this paper, a controllability analysis is performed on a pipeline-riser system with multiphase flow, where the design objective is to stabilize an unstable operating point to remove riser slugging.

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“…This method can suppress several kinds of slug flow. Total has a slug control system (Courbot, 1996 andHenriot et. al., 1999), where simulations predicted severe slugging and that the existing process equipment was too small to handle the slugs well.…”

Section: Slug Controlmentioning

confidence: 99%

Increased Oil Production by Advanced Control of Receiving Facilities

Godhavn

Strand

Skofteland

2005

IFAC Proceedings Volumes

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Slug flow from wells or multiphase flow lines from subsea satellite fields is one major disturbance at offshore oil and gas processing facilities. Slugging is an undesirable flow pattern with liquid blockages that can occur in multiphase flow lines transporting both gas and liquid. The original contribution in this paper is the successful application of advanced control for the inlet facilities, where active slug control for two 11.7 km long multiphase flow lines is combined with model predictive control to handle slugs entering the inlet separators.

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Simulation of Process to Control Severe Slugging: Application to the Dunbar Pipeline

Abstract: This paper was prepared for presentation at the 1999 SPE Annual Technical Conference and Exhibition held in Houston, Texas, 3–6 October 1999.

Cited by 26 publications

References 7 publications

Model-based control of slugging flow: An experimental case study

Model-based control of slugging flow: An experimental case study

Controllability Analysis of an Unstable, Non-Minimum Phase Process

Increased Oil Production by Advanced Control of Receiving Facilities

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