Simon Pedersen, Petar Durdevic, Kasper Stampe, Sandra Lindberg Pedersen and Zhenyu Yang. Experimental Study of Stable Surfaces for Anti-Slug Control in Multi-phase Flow. International Journal of Automation and Computing, vol. 13, no. 1, pp. 81-88, 2016. DOI: 10.1007/s11633-015-0915-9
Citation: Simon Pedersen, Petar Durdevic, Kasper Stampe, Sandra Lindberg Pedersen and Zhenyu Yang. Experimental Study of Stable Surfaces for Anti-Slug Control in Multi-phase Flow. International Journal of Automation and Computing, vol. 13, no. 1, pp. 81-88, 2016. DOI: 10.1007/s11633-015-0915-9

Experimental Study of Stable Surfaces for Anti-Slug Control in Multi-phase Flow

  • Severe slugging flow is always challenging in oil & gas production, especially for the current offshore based production. The slugging flow can cause a lot of problems, such as those relevant to production safety, fatigue as well as capability. As one typical phenomenon in multi-phase flow dynamics, the slug can be avoided or eliminated by proper facility design or control of operational conditions. Based on a testing facility which can emulate a pipeline-riser or a gas-lifted production well in a scaled-down manner, this paper experimentally studies the correlations of key operational parameters with severe slugging flows. These correlations are reflected through an obtained stable surface in the parameter space, which is a natural extension of the bifurcation plot. The maximal production opportunity without compromising the stability is also studied. Relevant studies have already showed that the capability, performance and efficiency of anti-slug control can be dramatically improved if these stable surfaces can be experimentally determined beforehand. The paper concludes that obtaining the stable surface on the new developed map can significantly improve the production rate in a control scheme. Even though the production rate can be further improved by moving the stable surface using advanced control strategies, the constant inputs can in some cases be preferable due to the easier implementation.
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