Big Data Analytic for Pipeline Monitoring

近年来，加拿大公众对环境影响的敏感程度有所提高， 管道泄漏，就像最近的尼克森管道泄漏一样，这是阿尔伯塔最大的泄漏 历史管道泄漏或溢出可能是昂贵的、危险的和耗时的。重要的是能够 当泄漏很小时，可以感知并检测泄漏。另一方面，随着传感器技术的改进， 这些管道监测传感器产生大量数据。Hifi Engineering Inc.是一家加拿大 一家专门开发用于监测流体流量的强大光纤传感技术的公司， 管道、威尔斯和关键基础设施。他们的目标是提高威尔斯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测完整性和检测泄漏。能够检测 基于大量数据的小漏洞，我们将与Hifi工程公司合作。探索使用 大数据分析，以提高泄漏检测与海量数据，并开发一个模型的流体流动， 管道使用光纤传感数据。该项目试图提高要分析的数据的规模， 同时快速准确地检测干扰。传感器数据（声学、温度、应变数据） 将使用Hifi Engineering提供的数据集进行泄漏检测分析。环境 该项目的好处也将是重要的，因为一些高调的管道项目，有可能 创造了许多就业机会，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.