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.

加拿大 95% 的天然气和原油均由管道输送，管道网络总长约 540,000 公里。 2010年至2014年期间，平均向加拿大运输安全委员会报告了147起管道事故，其中大多数事故涉及产品释放到环境中。改进管道泄漏检测至关重要，因为石油/废水泄漏可能会对河流、湖泊、湿地、植被区造成环境影响，并对人类健康和安全造成风险，并产生重大经济影响。鉴于管道基础设施经常位于偏远地区，难以定期监测，新的地球观测（EO）卫星传感器可提供频繁且开放的数据，具有补充现有技术的巨大潜力。然后，该项目的主要目标是基于开放、免费的 Sentinel-2 以及 Landsat-7 和 Landsat-8 图像的时间序列，为降雪条件下科学严谨的半自动化管道泄漏监测系统开发分析方法。卫星图像的选择将基于过去的管道事故。最近南达科他州 Keystone 管道发生的 795,000 升石油泄漏事件可以作为一个研究案例。这些图像将使用哈特菲尔德自动处理系统进行预处理。将探索不同的增强技术来检测管道泄漏。我们将测试在什么条件下可以在水道、土壤表面或受胁迫的植被中看到石油或废水。 INRS-ETE 将提供遥感研究专业知识，而 Hatfield Consultants 将贡献其在石油和天然气领域的自动图像处理和环境监测方面的经验。