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Efficient planning of crude oil supplies through long-distance pipelines

机译：通过长输管道有效规划原油供应

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摘要

This work introduces a mixed-integer nonlinear programming (MINLP) formulation for the efficient planning of crude oil supplies to a major refinery, through a long-distance pipeline. The proposed approach combines the potentials of slot-based and general precedence continuous-time representations to simultaneously address two problems that are typically decoupled: pipeline transportation and crude oil blending. General precedence sequencing variables coordinate incoming/outgoing flows to/from every tank, while crude oil batches are traced into the pipeline following a slot-based scheme. The model precisely monitors key component concentrations, keeping oil properties within admissible ranges. Since the proposed formulation is nonconvex, an efficient solution strategy is followed and a tailored relaxation is subsequently solved to assess the quality of the solutions achieved. Results show that the model is able to find very efficient solutions to real-world case studies in modest CPU times. (C) 2018 Elsevier Ltd. All rights reserved.
机译：这项工作介绍了一种混合整数非线性规划（MINLP）公式，用于通过长距离管道有效规划对大型炼油厂的原油供应。所提出的方法结合了基于时隙和通用优先级连续时间表示的潜力，以同时解决通常脱钩的两个问题：管道运输和原油调合。通用优先顺序变量可协调进/出每个储罐的进/出流量，而原油批次则按照基于时隙的方案被跟踪到管道中。该模型可以精确监控关键成分的浓度，从而将油性保持在允许范围内。由于建议的配方是非凸面的，因此遵循有效的解决方案策略，随后解决了定制的松弛问题，以评估实现的解决方案的质量。结果表明，该模型能够在不多的CPU时间下为实际案例研究找到非常有效的解决方案。 （C）2018 Elsevier Ltd.保留所有权利。

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