长输油管道泄漏检测与定位技术研究进展

长输油管道泄漏事故不仅会造成重大经济损失，而且会给生态环境带来灾难性的破坏，因此对长输油管道进行在线实时监测与快速精准定位是保障管道安全运行的核心要素。首先对目前国内外常用的泄漏检测技术进行了分类总结，其次详细论述了长输油管道泄漏检测技术原理、性能及其优缺点，并对长输油管道泄漏检测中存在的微小泄漏、缓泄漏等难点问题进行了重点评述。最后在全面总结现有研究成果的基础上，对长输油管道泄漏检测技术的发展潜力、应用前景、目前存在的问题以及如何进行下一步研究进行了深刻的分析和展望，认为干涉型分布式光纤传感法联合深度学习模式识别技术可以更好地实现远距离输油管道泄漏检测领域的智能化、高效化，并在未来的泄漏检测领域具有良好的应用前景。

Research progress on leak detection and location technology for long-distance oil pipeline

Long-distance pipeline leaks not only cause significant economic losses, but also bring catastrophic damage to the ecological environment, so online real-time monitoring and rapid and accurate positioning of long-distance pipelines are the core elements to ensure safe operation of pipelines. Firstly, the commonly used leak detection technologies at home and abroad are classified and summarized. Secondly, the principles, performance and advantages and disadvantages of the long-distance pipeline leak detection technologies are discussed in detail, and the difficult problems such as tiny leaks and slow leaks in long-distance pipeline leak detection are highlighted in the review. Finally, on the basis of a comprehensive summary of existing research results, the development potential of long-distance pipeline leak detection technology, application prospects, current problems and how to carry out the next step of research are profoundly analyzed and prospected, and it is concluded that the interferometric distributed fiber optic sensing method combined with deep learning pattern recognition technology can better achieve intelligence and efficiency in the field of long-distance oil pipeline leak detection, and has good application prospects in the future leak detection field.