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.

我们将使用基于分布式声学光纤的传感器来监控管道的状况并检测**泄漏。我们将开发数据驱动的建模技术，构建**声学信号沿管道传播的数学模型，以及影响测量的任何声学信号源**的特性和位置。这些声源将模拟**管道、泵、管道附近行驶的车辆、管道泄漏和许多其他来源中的流体流动所产生的信号。一旦**源被分离，就可以将每个源归类为关键事件，例如泄漏，或者**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条件的**变化，以及任何此类变化的位置。在该项目中开发的工具**将允许对管道进行精确可靠的持续监测和泄漏检测。**这项技术的开发有可能为加拿大人带来直接的社会和环境效益**。它将帮助加拿大政府、石油和天然气行业以及管道运营商**获得社会许可证，以便更好地在所有司法管辖区运营。公众，特别是环保组织和原住民，将得到保证，正在**部署额外的积极措施**以防止管道泄漏。更重要的是，他们将知道，如果真的发生泄漏，几乎在发生时就会被**检测到，这样可以将泄漏的规模降到最低，缓解工作可以**几乎立即开始。