Development of analytical approaches for monitoring pipeline corridors for leak detection using open satellite Earth Observation data

使用开放卫星地球观测数据开发用于监测管道走廊泄漏检测的分析方法

• 批准号: 520816-2017
• 负责人: Bernier, Monique
• 金额: $ 1.82万
• 依托单位: Institut national de la recherche scientifique
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=639662
• 关键词: Development; analytical; approaches; monitoring; pipeline

Pipelines move 95% of Canada's natural gas and crude oil, totaling a network of some 540,000 kilometres ofpipeline. Over the 2010 to 2014 period, an average of 147 pipeline incidents were reported to theTransportation Safety Board of Canada, with a majority of these incidents involving the release of products inthe environment. Improved detection of pipeline leaks is of critical importance as oil/waste-water leaks canlead to environmental impacts on rivers, lakes, wetlands, vegetated areas, and cause risk to human health andsafety, as well as having significant economic impacts. Given that pipeline infrastructures are frequentlylocated in remote areas and are difficult to monitor regularly, new Earth Observation (EO) satellite sensors,providing frequent and open data, has great potential to complement existing techniques. Then, the mainobjective of this project is to develop analytical methods for a scientifically rigorous and semi-automatedpipeline leaks surveillance system in snow-off conditions based on time series of open, cost-free Sentinel-2 andLandsat-7 and Landsat-8 imagery. The selection of satellites images will be based on past pipeline incidents.The recent 795,000-litre oil spill from the Keystone pipeline in South Dakota could be a study case. Theimages will be pre-processed using Hatfield Automatic Processing System. Different enhancement techniqueswill be explored to detect pipeline leaks. We will test under which conditions oil or waste water can be seen inwater courses, on soil surface or by stressed vegetation. INRS-ETE will provide research expertise in remotesensing while Hatfield Consultants will contribute its experience in automated images processing andenvironmental monitoring in the oil and gas sector.

管道占加拿大天然气和原油的95％，总计约540,000公里的pipeline网络。在2010年至2014年期间，平均向加拿大TheTransportation安全委员会报告了147起管道事件，其中大多数这些事件涉及在环境中释放产品。改善管道泄漏的检测至关重要，因为石油/废水泄漏剥夺了对河流，湖泊，湿地，植被区域的影响的影响，并对人类健康和安全造成了风险，并产生了重大的经济影响。鉴于管道基础架构经常在偏远地区进行，并且很难定期监测，因此提供频繁和开放数据的新地球观测（EO）卫星传感器具有巨大的补充现有技术的潜力。然后，该项目的主要原则是根据基于开放的，无成本成本的Sentinel-2 Andlandsat-7和Landsat-8图像的时间序列，在下雪条件下开发了科学严格和半自动化的私线泄漏系统的分析方法。卫星图像的选择将基于过去的管道事件。最近的795,000升的79.5万升石油溢油可能是研究案例。图片将使用Hatfield自动处理系统进行预处理。将探索不同的增强技术以检测管道泄漏。我们将测试在哪些情况下可以看到油或废水在土壤表面或压力植被上的水上课程。 INRS-ETE将提供远程启用的研究专业知识，而Hatfield顾问将在石油和天然气领域的自动图像处理和环境监测方面贡献其经验。