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A Computational Analysis of Convex Combination Models for Multidimensional Piecewise-Linear Approximation in Oil Production Optimization

机译:油生产优化多维分段线性近似凸组合模型的计算分析

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The lift-gas allocation problem with pressure-drop constraints and well-separator routing is a mixed-integer nonlinear program considerably hard to solve. To this end, a mixed-integer linear programming formulation was developed by multidimensional piecewise-linearization of pressure drop functions using standard (CC) and logarithmic (Log) aggregated models. These models were compared by means of a computational analysis, which indicates that the logarithmic model is faster than the standard one possibly because of the reduced number of variables and constraints.
机译:压力下降约束和良好分离器路由的升力 - 气体分配问题是混合整数的非线性程序,非常难以解决。为此,通过使用标准(CC)和对数(LOG)聚合模型的压降函数的多维分段线性化开发了混合整数线性编程配方。通过计算分析比较这些模型,这表明对数模型可能比标准更快,因为减少了变量和约束的数量。

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