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Hybrid adaptive memory programming using GRASP and path relinking for the scheduling workover rigs for onshore oil production

机译:使用GRASP和路径重新链接的混合自适应内存编程,用于陆上石油生产的调度修井台

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There are many oil wells in onshore fields that need artificial lift methods in Brazil. These wells periodically need some maintenance services that are performed by workover rigs, available on a limited number. The problem consists in optimizing the workover rigs schedule by minimizing the production loss associated with the yield of the wells that are waiting for service. We propose a hybrid GRASP algorithm to solve this problem. Experimental results illustrate the effectiveness of the hybrid version in terms of quality solution.
机译:在巴西,陆上油田有很多油井需要人工举升方法。这些井定期需要一些由修井机执行的维护服务,数量有限。问题在于通过使与等待服务的油井的产量相关的生产损失最小化来优化修井设备的时间表。我们提出了一种混合GRASP算法来解决此问题。实验结果证明了混合版本在质量解决方案方面的有效性。

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