Big Data Analytic for Pipeline Monitoring

近年来，加拿大公众对环境影响表现出越来越高的敏感度 管道泄漏，就像最近的尼克森管道泄漏一样，这是艾伯塔省最大的泄漏 历史。管道泄漏或泄漏可能代价高昂、危险且耗时。重要的是要能够 在泄漏很小的时候感知并检测到它们。另一方面，随着传感器技术的改进，海量 这些管道监测传感器产生了大量的数据。HIFI工程公司是加拿大人 该公司专门开发用于监测流体流动的强健光纤传感技术 管道、油井和关键基础设施。他们的目标是提高油井和管道的可靠性和安全性。 通过提供分布式动态传感系统来监控完整性和检测泄漏。为了能够检测到 根据小规模泄露的大量数据，我们将与Hifi Engineering Inc.合作，探索使用 大数据分析，以改进海量数据的泄漏检测，并开发流体在井下的流动模型 管道采用光纤传感数据。该项目试图改善要分析的数据的大小， 同时快速准确地检测干扰。传感器数据(声、温度、应变数据) 将使用Hifi Engineering提供的数据集进行分析以进行泄漏检测。环境问题 该项目的好处也将是重要的，因为许多备受瞩目的管道项目有可能 创造了许多工作，目前处于搁置状态，部分原因是无法进行可靠的泄漏检测 技术。

In recent years, the Canadian public has shown an increased level of sensitivity to the environmental impacts of pipeline leaks as was the case with the recent Nexen pipeline leak, which was the largest leak in Alberta history. A pipeline leak or spill can be costly, dangerous, and time-consuming. It is important to be able to sense and detect the leaks when they are small. On the other hand, with improved sensor technologies, massive amount of data are generated by these pipeline monitoring sensors. Hifi Engineering Inc. is a Canadian company specializing in developing robust fiber optic sensing technology for monitoring fluid flow in pipelines, wells, and critical infrastructure. Their goal is to increase reliability and safety of wells and pipelines by providing a distributed dynamic sensing system to monitor integrity and detect leaks. To be able to detect small leaks based on the large amount of data, we will work with Hifi Engineering Inc. to explore the use of big data analytics to improve leak detection with massive data and to develop a model of the fluid flow in the pipeline using the fiber optic sensing data. The project tries to improve the size of the data to be analyzed, while quickly and accurately detecting disturbances. The sensor data (acoustic, temperature, strain data) provided by Hifi Engineering will be used as the dataset to analyze for leak detection. The environmental benefits of this project will also be important as a number of high profile pipeline projects, with the potential to create many jobs, are currently on-hold, partially due to the unavailability of reliable leak detection technologies.