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A mixed-integer linear programming model for automatic routing decisions in oil production optimization

机译:石油生产优化中自动路线决策的混合整数线性规划模型

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Production optimization of gas-lifted oil wells with routing and pressure constraints is a complex problem, which has attracted the interest of engineers and scientists alike. To this end, a mixed-integer nonlinear model is developed to automatically decide upon flowing well production to a single or multiple manifolds (in the paper referred to as automatic routing). To bypass the complexity of the problem due to its nonlinear and discrete characteristics, a mixed-integer linear reformulation is proposed using piecewise-linear approximations. The resulting formulation splits flows in the pipelines based on the pressure differences which is also observed in commercial multiphase flow simulators. Finally, a computational analysis shows that significant gains can be obtained in oil production by considering automatic routing in the optimization model.
机译:具有路径和压力限制的气举油井的生产优化是一个复杂的问题,已经引起了工程师和科学家的兴趣。为此,建立了一个混合整数非线性模型,以自动决定将油井生产流向一个或多个歧管(在本文中称为自动布线)。为了避免由于其非线性和离散特性而导致的问题复杂性,提出了使用分段线性逼近的混合整数线性重构。最终的配方根据压力差将管道中的流量分开,这在商用多相流模拟器中也可以观察到。最后,计算分析表明,通过在优化模型中考虑自动布线,可以在石油生产中获得可观的收益。

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