Novel techniques for seabed monitoring of CO2 leakage and monitoring campaigns based on reservoir, cap rock and overburden migration models.

海底二氧化碳泄漏监测新技术以及基于储层、盖层和覆盖层迁移模型的监测活动。

• 批准号: EP/L022958/1
• 负责人: John Stahl
• 金额: $ 21.65万
• 依托单位: Scottish Association For Marine Science
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2013
• 资助国家: 英国
• 起止时间: 2013 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FL022958%2F1
• 关键词: Novel; techniques; seabed; monitoring; CO2

The project team with partners from United Kingdom (UK), Greece (G) and Norway (N) proposes to use the Next Generation Technology of metagenomics and bioinformatic, for offshore post injection and long-term monitoring of CO2 storage sites. DNA extracted from seafloor sediments exposed to in situ CO2 release at the Scottish west coast will be analysed and compared to our existing CO2 anomaly signatures from the North Sea. An automatic workflow for fast finding and precise detection of genes associated with prokaryotic CO2 assimilation will be generated. Correlation analysis of geochemical parameters and genetic anomalies in in situ and ex situ CO2 exposed sediments will be made. To be able to estimate the resolution and sampling frequency required for safe long term monitoring of CO2 storage sites, we will calculate the theoretical migration of CO2 to the seabed from a conceptual storage site model with cap rock leakage. Based on this approach we will suggest monitoring campaigns and recommendations for the conceptual storage site model and estimate the monitoring costs. The CCS community needs a technique able to detect deviations from baseline conditions in the seafloor in good time before CO2 migrates from the seafloor into the sea water where pelagic organisms such as fish can be affected.

该项目团队与来自英国（UK）、希腊（G）和挪威（N）的合作伙伴提议使用宏基因组学和生物信息学的下一代技术，对二氧化碳封存地点进行海上后注入和长期监测。将从苏格兰西海岸暴露于原位二氧化碳释放的海底沉积物中提取的 DNA 进行分析，并与我们现有的北海二氧化碳异常特征进行比较。将生成一个自动工作流程，用于快速查找和精确检测与原核二氧化碳同化相关的基因。对原位和非原位CO2暴露沉积物的地球化学参数和成因异常进行相关分析。为了能够估计长期安全监测二氧化碳封存地点所需的分辨率和采样频率，我们将根据具有盖层泄漏的封存地点概念模型计算二氧化碳到海底的理论迁移量。基于这种方法，我们将建议监测活动和概念储存点模型的建议，并估计监测成本。 CCS 界需要一种技术，能够在二氧化碳从海底迁移到海水中（鱼类等中上层生物可能受到影响）之前及时检测到海底基线条件的偏差。

项目成果

Using Prokaryotes for Carbon Capture Storage.

• DOI: 10.1016/j.tibtech.2016.06.011
• 发表时间: 2017
• 期刊: Trends in biotechnology
• 影响因子: 17.3
• 作者: N. Hicks;U. Vik;P. Taylor;E. Ladoukakis;Joonsang Park;F. Kolisis;K. Jakobsen

Reviews and synthesis: Carbon capture and storage monitoring - an integrated biological, biophysical and chemical approach

评论与综合：碳捕获和储存监测——一种综合的生物、生物物理和化学方法

• DOI: 10.5194/bgd-12-8909-2015
• 发表时间: 2015
• 作者: Hicks N

Leakage of carbon dioxide from a simulated sub-seabed carbon capture and storage reservoir : potential impacts on benthic biogeochemistry

• 发表时间: 2015
• 作者: P. Taylor