Summary
Severe slugging in an offshore riser pipeline imposes a major challenge to
production and flow assurance in the oil and gas industry. Riser-top-valve
choking has shown effectiveness in eliminating severe slugging. However, most
manual-choking and active-control techniques were tuned by trial and error,
resulting in an operation at a smaller-than-necessary valve position for a
stable-flow condition. This imposes unnecessarily high backpressure on the
riser pipeline, which leads to reduction in production. One way to overcome
this problem is to design the active-control system to operate at a large valve
position. However, at such an operating point, the riser-pipeline system is
naturally open-loop unstable associated with severe slugging flows.
In this work, an approach to tune a robust proportional-integral-derivative
(PID) slug controller at an open-loop unstable condition is proposed. First, at
an open-loop unstable operating condition, a reliable linear model is derived
from the nonlinear simplified riser/separator model (SRSM) developed in
previous work. Then, a robust stabilizing PID controller is designed on the
basis of the linearized model.
The controller was successfully applied to a 2-in. laboratory riser at
Cranfield University and an 8-in. generic industrial riser system modeled in
the commercial multiphase-flow simulator OLGA. Simulation on the industrial
riser system shows that the proposed approaches not only can eliminate severe
slugging but also can increase oil production. It also shows that the
percentage improvement in oil production compared with manual choking will
increase as the well pressure declines. This means that adopting active slug
control is even more beneficial for mature oil fields than for relatively new
fields.
The result is very significant for mature fields that are susceptible to
severe slugging and low oil production because of declining reservoir
pressure.
© 2010. Society of Petroleum Engineers
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History
- Original manuscript received:
6 June 2009
- Meeting paper published:
9 September 2009
- Revised manuscript received:
13 October 2009
- Manuscript approved:
17 November 2009
- Published online:
22 March 2010
- Version of record:
22 September 2010