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Gas-lift Optimization by Controlling Marginal Gas-Oil Ratio using Transient Measurements ?

机译：通过使用瞬态测量控制边际气油比来优化气举 ？

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摘要

This paper presents the application of a steady-state gradient control using transient measurements to a gas-lift optimization problem. Optimal operation of a gas-lifted field involves controlling the marginal gas-oil ratio (mGOR), which is the steady-state gradient of the oil rate with respect to the gas lift rate. In this paper, we apply a novel method to estimate the marginal GOR online using a dynamic model and transient measurements, without the need for additional perturbation. The proposed method is based on linearizing the dynamic model around the current operating point to estimate the marginal GOR, which is then controlled using simple feedback controllers to achieve optimal operation. In case of disturbances, the proposed method is able to adjust fast to the new optimal point, without the need to solve computationally expensive optimization problems. By using transient measurements, it does not need to wait for the process to reach steady-state to update the model. The proposed method was tested in simulations and was shown to provide similar performance as an economic MPC.
机译：本文介绍了采用瞬态测量的稳态梯度控制在气举优化问题中的应用。气举油田的最佳运行涉及控制边际气油比（mGOR），该边际气油比是油率相对于气举率的稳态梯度。在本文中，我们采用一种新颖的方法来使用动态模型和瞬态测量值在线估算边际GOR，而无需额外的干扰。所提出的方法基于在当前工作点周围对动态模型进行线性化以估计边际GOR，然后使用简单的反馈控制器对其进行控制以实现最佳操作。在出现干扰的情况下，所提出的方法能够快速调整到新的最佳点，而无需解决计算量大的优化问题。通过使用瞬态测量，无需等待过程达到稳态即可更新模型。所提出的方法在模拟中进行了测试，并显示出与经济的MPC类似的性能。

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