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

该项目团队与来自英国（UK），希腊（G）和挪威（N）的合作伙伴建议使用宏基因组学和生物信息学的下一代技术，用于海上注入后和长期监测二氧化碳储存地点。从暴露于苏格兰西海岸原位CO2释放的海底沉积物中提取的DNA将进行分析，并与我们现有的北海CO2异常特征进行比较。将产生一个自动化的工作流程，用于快速发现和精确检测与原核CO2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与成因异常进行相关分析。为了能够估计的分辨率和采样频率所需的安全长期监测的CO2存储网站，我们将计算理论迁移的CO2到海底的概念存储网站模型与盖层泄漏。基于这种方法，我们将建议监测活动和建议的概念存储网站模型和估计的监测成本。CCS界需要一种技术，能够在CO2从海底迁移到可能影响鱼类等远洋生物的海水之前，及时发现海底基线条件的偏差。

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.