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improving real-time reservoir operation based on combining demand hedging and simple storage management rules

机译:通过结合需求套期和简单的存储管理规则来改进实时水库运营

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摘要

A number of deterministic reservoir optimization models are capable of finding optimal basin allocation over multiple time steps simultaneously. This is commonly referred to as Multiple Time Step Optimization (MTO). However, such solutions are predicated on perfect foreknowledge of incoming runoff over the entire simulated period (typically one year), which is not available to reservoir operators in real time, thus creating a gap between the results of MTO-based modeling and their practical use. There is no universally accepted methodology on how the results of MTO should be used to develop practical and easy-to-understand operating rules. This paper offers a simple approach to bridge this gap and suggests additional avenues for further research in this direction.
机译:许多确定性的油藏优化模型能够同时在多个时间步长上找到最优盆地分配。这通常称为多时步优化(MTO)。但是,这样的解决方案是基于在整个模拟期间(通常是一年)内完全预测流入的径流,而储层运营商无法实时获得该径流量,因此在基于MTO的建模结果与实际使用之间存在差距。 。没有关于如何使用MTO的结果来制定实用且易于理解的操作规则的普遍接受的方法。本文提供了一种弥合这一差距的简单方法,并提出了进一步的研究方向。

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