The implementation of CCS projects faces challenges related to the accurate assessment of potential storage sites, understanding the complex interactions between CO₂, fluids, and rock formations, and ensuring the long-term containment of stored CO₂. Traditional methods may lack the precision or comprehensiveness required to address these challenges, leading to uncertainties in project feasibility and safety. There is a pressing need for integrated solutions that can provide detailed geochemical characterisation and reliable monitoring to support the successful deployment of CCS technologies.

The offered services provide a holistic approach to CCS by combining laboratory experiments, geochemical modelling, and advanced monitoring techniques. This integration allows for a thorough understanding of CO₂ behaviour in subsurface environments, enabling accurate predictions of storage capacity and containment integrity. The use of machine learning in seismic data analysis and the application of fibre optic technologies enhance the monitoring capabilities, ensuring real-time detection of any anomalies. These services support stakeholders in making informed decisions regarding site selection, risk assessment, and long-term monitoring strategies.

The innovation lies in the multidisciplinary integration of geochemical analysis, advanced modelling, and cutting-edge monitoring technologies. By leveraging machine learning algorithms for seismic data interpretation and employing fibre optic sensors for continuous monitoring, the solution offers unprecedented insights into subsurface CO₂ dynamics. This approach not only improves the accuracy of storage assessments but also enhances the ability to detect and respond to potential issues, thereby increasing the overall reliability and safety of CCS projects.