Developing large-footprint leak detection strategies for enhances oil recovery

开发大范围泄漏检测策略以提高石油采收率

• 批准号: 469483-2014
• 负责人: Risk, David
• 金额: $ 3.28万
• 依托单位: St. Francis Xavier University
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=577410
• 关键词: Developing; large; footprint; leak; detection

Detection of fugitive emissions of carbon dioxide, methane, and related Enhance Oil Recovery (EOR) gases is challenging because many of these gases are already naturally occurring and may leak from a point anywhere along, for example, thousands of km of pipeline, or from any one of the hundreds of pump jacks or wellheads in a large EOR field. For operators interested in the future, lessening environmental impact goes hand in hand with sustainability and profitability. A mobile air quality monitoring system targeting CO2, CH4, H2S and d13CH4 was built in 2012, as part of an NRCan-funded study by Dr. Dave Risk (StFX University) at a Cenovus Energy EOR operation in Weyburn Saskatchewan. The multi-gas approach allows for fingerprinting, where low-level anomalies can be attributed to specific source classes. The system can be applied at large scales (100 sq km), but is able to pinpoint anomalies within metres. For Cenovus, there is an interest in implementing this system, but there are still 2 areas of uncertainty, including the feasibility of technology transfer from the university developers to the company. In this project a MSc student will carry out further development and local calibration of the monitoring system, in conjunction with the developers, but resident generally from a base at the company's operations. He or she will also allow the team (StFX-Cenovus) to assess barriers to implementation within an active Oil and Gas setting. In the short-term, the project provides excellent HQP training opportunities, could enhance environmental performance of energy extraction in southern Saskatchewan. In the long-term the project holds promise for use in other unconventional energy extraction projects.

检测二氧化碳、甲烷和相关的提高石油采收率（EOR）气体的无组织排放是一项重要的技术。 因为这些气体中的许多已经自然产生，并且可能从任何地方的某个点泄漏 沿着，例如，数千公里的管道，或从数百个泵千斤顶或井口中的任何一个 在一个大的EOR领域。对于对未来感兴趣的运营商来说，减少对环境的影响是齐头并进的 可持续性和盈利性。一个移动的空气质量监测系统， d13 CH 4于2012年建成，作为NRC资助的研究的一部分，由Dave Risk博士（StFX大学）在 位于萨斯喀彻温省韦伯恩的Cenovus Energy EOR操作。多气体方法允许指纹识别， 其中低水平异常可归因于特定源类别。该系统可广泛应用 它可以在100平方公里的范围内测量，但能够在几米范围内精确定位异常。对于Cenovus来说， 实施这一系统，但仍有2个领域的不确定性，包括技术的可行性 从大学开发商转移到公司。在这个项目中，一个硕士生将进一步开展 开发和本地校准的监测系统，在与开发商，但驻地 一般是从公司的运营基地。他或她还将允许团队（StFX-Cenovus） 评估在活跃的石油和天然气环境中实施的障碍。在短期内，该项目提供 优秀的HQP培训机会，可以提高能源开采的环境绩效， 萨斯喀彻温省南部。从长远来看，该项目有望用于其他非传统能源 提取项目。