考虑不确定性的海上生产系统设计

Leonardo Sales, C. Morooka
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引用次数: 0

摘要

海上油田的开发是一项复杂而有风险的工程。该任务的一个核心问题是,在不确定的情况下,选择一种生产系统,使石油采收率最大化,投资和运营成本最小化,同时满足外部、经济、环境、社会和技术需求。一些研究在文献中解决了这个问题;然而,它们既不考虑初始数据中的不确定性,也不客观地证明在其他可行的备选方案中所选择的备选方案是合理的。我们建议使用智能系统来选择海上生产系统,该系统考虑输入的不确定性并以合理的方式选择最佳替代方案。通过与以往研究结果和实际情况的比较,我们得出结论,我们的方法可以在其他方法无法获得最优解的情况下获得最优解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of Offshore Production Systems Considering Uncertainties
The development of an offshore oil field is a complex and risky project. One core problem in this task is the selection of a production system that maximizes oil recovery and minimizes investments and operational costs while meeting external, economic, environmental, societal and technological demands in a scenario of uncertainties. Several studies address this problem in the literature; however, they do not consider uncertainties in the initial data neither justify objectively the chosen alternative among other feasible ones. We propose to select an offshore production system using an intelligent system that considers input uncertainties and chooses the best alternative in a rational manner. By comparing the results obtained with previous studies and real scenarios, we conclude that our methodology can obtain the optimal solution in situations where other methods cannot.
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