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Pipeline monitoring and leak detection using system identification methods

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:
$3.0万
依托单位:
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
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31

项目摘要

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中文摘要
翻译
我们将使用分布式声学光纤传感器来监测管道状况并检测泄漏。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属性和位置。这些声源将模拟由管道中的流体流动、泵、管道附近行驶的车辆、管道泄漏和许多其他来源产生的信号。一旦分离了源,就可以将每个源分类为关键事件(如泄漏)或非关键事件或常规事件。通过监测管道的声学特性,将有可能推断其物理状态的变化,以及任何这种变化的位置。该项目开发的工具**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即时的社会和环境效益。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,以便更好地在所有司法管辖区开展业务。公众,特别是环保组织和原住民,将会得到额外的积极措施的保证,以防止管道泄漏。更重要的是,他们将知道,如果泄漏确实发生,它将被检测到几乎一旦发生,因此泄漏的大小可以最小化,缓解工作可以几乎立即开始。
英文摘要
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.
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Practical Methods for the Identification of Nonlinear Systems
  • 批准号:
    RGPIN-2020-04590
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.04万
  • 财政年份:
    2022
  • 负责人:
    Westwick, David
  • 依托单位:
Practical Methods for the Identification of Nonlinear Systems
  • 批准号:
    RGPIN-2020-04590
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.04万
  • 财政年份:
    2021
  • 负责人:
    Westwick, David
  • 依托单位:
Practical Methods for the Identification of Nonlinear Systems
  • 批准号:
    RGPIN-2020-04590
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.04万
  • 财政年份:
    2020
  • 负责人:
    Westwick, David
  • 依托单位:
Identification of Nonlinear Systems
  • 批准号:
    RGPIN-2015-06464
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.82万
  • 财政年份:
    2019
  • 负责人:
    Westwick, David
  • 依托单位:
国内基金
海外基金
RGD-68Ga@AuNCs PET监测PRMT5通过VEGFA调节肺腺癌血管新生的功能及机制
  • 批准号:
    82372007
  • 项目类别:
    面上项目
  • 资助金额:
    48.00万元
  • 批准年份:
    2023
  • 负责人:
    谢文晖
  • 依托单位: