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Shortest path algorithm for optimal sectioning of hydrocarbon transport pipeline

机译:油气输送管道最优分段的最短路径算法

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Pipeline transportation mode is one of most used modes in oil industries. Transportation of hazardous substances by pipelines involves environmental, social and economic risks since a failure on a pipeline generates a subsequent release of a possible hazardous material. Limiting the amount of the spill volume reduces de losses and in consequence the associated risks; this mitigation is usually achieved by the installation of sectioning valves located along the pipeline. On practice a challenging problem is how much valves and where to locate them in function of the risks presented on each section. In this work, we tackle the valve location problem (VLP) for sectioning. This problem is modeled as a shortest path problem minimizing the maximum volume that could be spilled as well as environmental and social risks. To solve the problem we use the Bellman-Ford’s algorithm, assessing the number and location of valves to minimize environmental and social consequences. The approach was tested on a case study for sectioning a pipeline in Colombia. The results show reductions around 75% of the maximum possible spilled volume and the resulting valve configurations effectively cover areas with high vulnerability, guarantying individual risks lower than the acceptable risk on all populated areas and protecting areas of environmental interest.
机译:管道运输模式是石油工业中最常用的模式之一。管道运输有害物质涉及环境,社会和经济风险,因为管道故障会导致随后释放可能的有害物质。限制溢出量可减少损失,并因此减少相关风险;通常通过在管道上安装分段阀来实现这种缓解。在实践中,一个具有挑战性的问题是根据每个部分显示的风险,要安装多少阀门以及将阀门放置在何处。在这项工作中,我们解决了用于切片的阀门位置问题(VLP)。该问题被建模为最短路径问题,该问题使可能溢出的最大体积以及环境和社会风险最小化。为了解决该问题,我们使用Bellman-Ford算法,评估阀门的数量和位置,以最大程度地减少对环境和社会的影响。对该方法进行了案例研究,以剖析哥伦比亚的一条管道。结果表明,减少的泄漏量约为最大可能泄漏量的75%,并且最终的阀门配置有效地覆盖了脆弱性高的区域,从而保证了个人风险低于所有人口稠密地区可接受的风险,并保护了环境相关地区。

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