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

管道运输加拿大95%的天然气和原油，总计约54万公里的管道网络。2010至2014年间，平均向加拿大运输安全委员会报告了147起管道事故，其中大多数涉及产品在环境中的释放。改进对管道泄漏的检测至关重要，因为石油/废水泄漏可能会对河流、湖泊、湿地和植被地区造成环境影响，对人类健康和安全造成风险，并产生重大的经济影响。鉴于管道基础设施经常位于偏远地区，很难定期监测，新的地球观测卫星传感器提供频繁和公开的数据，具有补充现有技术的巨大潜力。然后，该项目的主要目标是根据开放的、免费的哨兵2号和陆地卫星7号和陆地卫星8号图像的时间序列，为雪灾条件下科学严谨的半自动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件。最近南达科他州Keystone管道发生的795,000升石油泄漏可能是一个研究案例。图像将使用Hatfield自动处理系统进行预处理。将探索不同的增强技术来检测管道泄漏。我们将测试在哪些条件下，可以在水道、土壤表面或受压力的植被中看到石油或废水。INRS-ETE将提供遥感方面的研究专业知识，而Hatfield Consulters将贡献其在石油和天然气部门的自动图像处理和环境监测方面的经验。

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.