2012 American Control Conference (ACC) 2012
DOI: 10.1109/acc.2012.6314622
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Control of heave-induced pressure fluctuations in managed pressure drilling

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Cited by 15 publications
(4 citation statements)
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“…In this simulation, the heave disturbance is assumed to be predictable. The heave disturbance is given by = (2 /12)[ ], where 2 /12 corresponds closely to the most dominant wave frequency in the North Atlantic, with reference to the JONSWAP spectrum (Landet et al (2012b(Landet et al ( , 2013). The input weight for MPC with future knowledge of heave disturbance is chosen as = 85.…”
Section: Simulation Resultsmentioning
confidence: 99%
“…In this simulation, the heave disturbance is assumed to be predictable. The heave disturbance is given by = (2 /12)[ ], where 2 /12 corresponds closely to the most dominant wave frequency in the North Atlantic, with reference to the JONSWAP spectrum (Landet et al (2012b(Landet et al ( , 2013). The input weight for MPC with future knowledge of heave disturbance is chosen as = 85.…”
Section: Simulation Resultsmentioning
confidence: 99%
“…It is shown in , a discretized model into five sections captures the main dynamics of Ullrigg well in case of having heave disturbance. The set of nine ordinary differential equations describing flow and pressure dynamics in the annulus can be written as follows : trueṗ1=β1A1l1(q1vdAd), trueṗ2=β2A2l2(q1q2), trueṗ3=β3A3l3(q2q3), trueṗ4=β4A4l4(q3q4), trueṗ5=β5A5l5(q4qc+qitalicbpp), trueq...…”
Section: Modelingmentioning
confidence: 99%
“…In , the results of the previous paper is extended to consider the effect of friction in the annulus and also to the case of estimation and control of heave disturbance with multiple sinusoids. In , two different disturbance rejection strategies, a nonlinear output regulation controller and a linear internal model controller, based on discretized partial differential equations are presented. In , a constrained model predictive controller is designed for handling heave disturbance and output regulation constraints.…”
Section: Introductionmentioning
confidence: 99%
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