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Spline Fluid Models for Optimization

机译:花键流体模型进行优化

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摘要

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:油生产优化通常通过应用生产网络的质量和动量余额来配制。通过将温度作为管压下降,泵和压缩机模型中的温度可以提高它们的准确性,以及整体生产系统模型的准确性。另外,有时希望增加温度约束以避免流动保证问题(例如蜡和天然气水合物)。优化问题中的温度引入需要流体的热力学性质作为压力和温度的功能。本文介绍了使用B样品进行优化的统一流体模型。流体模型可以基于黑色油模型或PVT模拟构造。 B样条曲线具有使其适合优化的性能。该方法的适用性在两个示例中证明,结果与现实的OLGA模拟器输出进行了比较。

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