Pipeline monitoring and leak detection using system identification methods

使用系统识别方法进行管道监控和泄漏检测

• 批准号: 514531-2017
• 负责人: Westwick, David
• 金额: $ 3万
• 依托单位: University of Calgary
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=668427
• 关键词: Pipeline; monitoring; leak; detection; using

We will use a distributed acoustic fibre-optic based sensor to monitor the condition of a pipeline and detect**leaks. We will develop data-driven modelling techniques that construct mathematical models of both the**propagation of acoustic signals along the pipeline, and the properties and locations of any acoustic signal**sources that affect the measurements. These acoustic sources will model the signals created by fluid flow in**the pipeline, pumps, vehicles travelling near the pipeline, leaks in the pipeline, and many other sources. Once**the sources have been separated, it will be possible to classify each as either a critical event, such as a leak, or a**non-critical or routine event. By monitoring the acoustic properties of the pipeline, it will be possible to infer**changes in its physical condition, and the locations of any such changes. The tools developed in this project**will allow for continuous monitoring and leak detection in pipelines that is precise and reliable.**The development of this technology has the potential to provide immediate social and environmental benefits**to Canadians. It will assist the Canadian government, the oil and gas industry, and pipeline operators in**obtaining the social license to better operate in all jurisdictions. The general public and specifically,**environmental groups and First Nations, will have the assurance that additional proactive measures are being**deployed to prevent pipeline leaks. More importantly, they will know that if a leak does occur, it will be**detected virtually as soon as it occurs, so that the size of the leak can be minimized and mitigation work can**begin almost immediately.

我们将使用一种分布式的基于声光纤的传感器来监测管道的状况并检测泄漏。我们将开发数据驱动的建模技术，构建声学信号沿着管道传播的数学模型，以及影响测量的任何声学信号源的属性和位置。这些声源将模拟由管道中的流体流动、泵、在管道附近行驶的车辆、管道中的泄漏和许多其他来源产生的信号。一旦 ** 源被分离，就可以将每个源分类为关键事件（如泄漏）或 ** 非关键或常规事件。通过监测管道的声学特性，将有可能推断其物理状况的变化以及任何此类变化的位置。本项目 ** 中开发的工具将允许对管道进行精确可靠的连续监测和泄漏检测。**这项技术的发展有可能为加拿大人提供直接的社会和环境效益。它将协助加拿大政府、石油和天然气行业以及管道运营商获得社会许可证，以便在所有司法管辖区更好地运营。公众，特别是 ** 环保组织和原住民，将得到保证，将采取额外的积极措施 ** 防止管道泄漏。更重要的是，他们将知道，如果确实发生泄漏，几乎在泄漏发生时就能被检测到，这样泄漏的规模就可以被最小化，缓解工作几乎可以立即开始。