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Derivative-Free Optimization of Offshore Production Platforms Sharing a Subsea Gas Network ?

机译：共享海底天然气网络的海上生产平台的无衍生物优化 ？

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Several systems in the real-world arise from the integration of subsystems, bringing about the need for coordination to share limited resources and drive economic gains. Large offshore oilfields fall in this category, such as the Santos Basin, which consists of multiple reservoirs that are operated by platforms interconnected by a subsea gas network. The high content of CO2 imposes constraints on the produced gas delivered to an onshore terminal. To cope with complexity, previous works proposed modeling the production platforms in terms of boundary conditions, thereby decoupling the platform local problems from the optimization of integrated operations. This work follows the same strategy, however proposes the use of derivative-free optimization to find boundary conditions that optimize the overall production. Such an approach adds flexibility from the direct use of simulators for the gas network, while allowing the platform problems to be solved with the method of choice, possibly using mixed-integer nonlinear or linear optimization. The derivative-free approach was shown to be effective in the optimization of the integrated production of the Santos Basin.
机译：子系统的集成产生了现实世界中的多个系统，因此需要进行协调以共享有限的资源并推动经济增长。大型海上油田属于此类，例如桑托斯盆地，该盆地由多个油藏组成，这些油藏由通过海底天然气网络互连的平台操作。高含量的CO2限制了输送到陆上码头的产出气。为了应对复杂性，先前的工作提出了根据边界条件对生产平台进行建模的方法，从而将平台局部问题与集成操作的优化脱钩。这项工作遵循相同的策略，但是建议使用无导数优化来找到优化整体生产的边界条件。这种方法增加了直接将仿真器用于天然气网络的灵活性，同时允许使用所选方法（可能使用混合整数非线性或线性优化）解决平台问题。事实证明，无衍生物方法可有效地优化桑托斯盆地的综合生产。

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