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Spline Fluid Models for Optimization

机译:样条流体模型的优化

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Oil production optimization is usually formulated by applying mass and momentum balances of the production network. By including temperature as a variable in pipe pressure drop, pump, and compressor models one may improve their accuracy, as well as the accuracy of the overall production system model. In addition, it is sometimes desirable to add temperature constraints to avoid flow assurance issues [e.g. wax and gas hydrates). The introduction of temperatures in the optimization problem requires thermodynamic properties of the fluid as functions of pressure and temperature. In this paper, a unifying fluid model for optimization using B-splines is presented. The fluid model can be constructed based on a Black-Oil model or from PVT simulations. The B-spline has properties that make it suitable for optimization. The applicability of the method is demonstrated in two examples, and the results are compared with realistic Olga simulator output.
机译:石油生产的优化通常是通过应用生产网络的质量和动量平衡来制定的。通过在管道压降中包括温度作为变量,泵和压缩机模型可以提高其精度以及整个生产系统模型的精度。另外,有时希望增加温度限制以避免流量保证问题。蜡和气体水合物)。在优化问题中引入温度要求流体的热力学性质是压力和温度的函数。在本文中,提出了用于使用B样条曲线进行优化的统一流体模型。可以基于Black-Oil模型或PVT模拟来构建流体模型。 B样条具有使其适合优化的属性。在两个示例中证明了该方法的适用性,并将结果与​​实际的Olga仿真器输出进行了比较。

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