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

项目组与来自联合王国(联合王国)、希腊(G)和挪威(N)的合作伙伴提议使用下一代元基因组学和生物信息学技术，用于离岸后注入和对二氧化碳储存地点的长期监测。从暴露于苏格兰西海岸就地二氧化碳释放的海底沉积物中提取的DNA将被分析，并与我们现有的北海二氧化碳异常特征进行比较。将产生一个用于快速发现和精确检测与原核生物二氧化碳同化相关的基因的自动工作流程。对原地和异地CO2暴露沉积物的地球化学参数与成因异常进行了相关分析。为了能够估计对二氧化碳储存点进行安全长期监测所需的分辨率和采样频率，我们将从一个有盖层岩石泄漏的概念储存点模型计算二氧化碳向海床的理论迁移。基于这种方法，我们将为概念性存储站点模型建议监控活动和建议，并估计监控成本。CCS社区需要一种技术，能够在二氧化碳从海底迁移到可能影响鱼类等远洋生物的海水之前及时发现海底偏离基线条件的情况。

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.