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.

管道输送加拿大95%的天然气和原油，总管道网络约540，000公里。在2010年至2014年期间，平均有147起管道事故报告给加拿大运输安全委员会，其中大多数事件涉及产品在环境中的释放。改进管道泄漏的检测至关重要，因为石油/废水泄漏会对河流、湖泊、湿地、植被地区造成环境影响，并对人类健康和安全造成风险，同时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，难以定期监测，新的地球观测（EO）卫星传感器，提供频繁和开放的数据，具有很大的潜力，以补充现有的技术。然后，该项目的主要目标是开发分析方法，用于在积雪条件下基于开放、免费的Sentinel-2和Landsat-7和Landsat-8图像的时间序列的科学上严格的半自动管道泄漏监测系统。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管道泄漏的795，000升石油可以作为研究案例。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。我们将测试在何种条件下可以在水道、土壤表面或受压植被中看到油或废水。INRS-ETE将提供遥感方面的研究专门知识，而哈特菲尔德咨询公司将贡献其在石油和天然气部门自动图像处理和监测方面的经验。