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Improved feedback control system of unstable gas-lift wells

机译:改进的不稳定气举井反馈控制系统

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Oil production wells on gas lift are sometimes unstable at low gas lift rates, even though steady-state flow analysis gives most efficient production at these gas lift rates. Unstable production, often called heading, may lead to periods of reduced or even no liquid production followed by large peaks of liquid and gas. This result in average oil production less than expected, and oil and gas production less than the systems design capacity to allow for the production peaks without causing shutdowns. To solve the problem the amount of lift gas is normally increased beyond the most optimum rate. When the lift gas supply is limited, other gas lifted wells must then be shut in. This paper describes field proven sequence based automation for oil production, plus a new model-based automatic controller. Both technologies solve the problem of unstable production from gas lifted wells through manipulation of the production and/or the gas-injection chokes. The sequence-based automation and the model-based controller stabilize the production at operating points that would be unstable under standard operation. Field measurements such as wellhead pressure, annulus pressure etc. are inputs to the controllers (or are used by the controller). Examples are given of the modelbased controller working together with realistic transient flow models of gas lift wells. Testing of the model-based controller on real unstable wells is planned.
机译:即使在这些气举率下进行稳态流量分析可以实现最有效的生产,在气举率低的情况下,使用气举的采油井有时也会不稳定。不稳定的生产(通常称为航向)可能导致液体产量减少甚至没有的时期,然后是大量的液体和气体峰值。这导致平均石油产量低于预期,石油和天然气产量低于系统设计能力,以允许生产高峰而不会造成停机。为了解决该问题,通常将提升气体的量增加到超过最佳速率。当提升气的供应受到限制时,必须关闭其他天然气提升井。本文介绍了油田生产中基于现场验证的基于序列的自动化方法,以及一种基于模型的新型自动控制器。两种技术都通过操纵生产和/或注气节流阀解决了气举井生产不稳定的问题。基于序列的自动化和基于模型的控制器使生产稳定在标准操作下不稳定的工作点。井口压力,环空压力等现场测量值将输入到控制器(或由控制器使用)。给出了基于模型的控制器与气举井的实际瞬态流量模型一起工作的示例。计划在实际的不稳定井上测试基于模型的控制器。

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