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Oil production optimization solved by piecewise linearization in a Branch & Price framework

机译:在Branch&Price框架中通过分段线性化解决石油产量优化问题

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This paper presents a method for optimizing oil production on large scale production networks such as the Troll west field in the North Sea. The method is based on piecewise linearization of all nonlinearities, and on decomposition of the full scale problem into smaller subproblems. Column generation in a Branch & Price framework is used to solve the decomposed problem. The method differs from most Branch & Price methods by branching only on continuous quantities and by solving the subproblems using commercial MILP software. The method is applied to a realistic model of an oil field, the Troll oil and gas field at the Norwegian Continental Shelf, a petroleum asset with severe production optimization challenges due to rate dependent gas-coning wells. This study shows that the method is capable of solving instances of practical size to proven optimality.
机译:本文提出了一种在大规模生产网络(例如北海的Troll west油田)上优化石油生产的方法。该方法基于所有非线性的分段线性化,以及将满量程问题分解为较小的子问题。 Branch&Price框架中的列生成用于解决分解问题。该方法与大多数“分支与价格”方法不同,该方法仅对连续数量进行分支,并使用商业MILP软件解决子问题。该方法适用于油田,挪威大陆架上的Troll油气田的现实模型,该石油资产由于依赖于速率的气锥井而面临着严峻的生产优化挑战。这项研究表明,该方法能够解决实际尺寸实例达到公认的最优性。

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