Background
Energy transition is now one of the topmost priorities of the oil and gas industry. According the IEA, the oil and gas industry accounts for about 45% of global Greenhouse Gas (GHG) emissions. To achieve realistic energy transition and sustain the production of fossil fuels, the petroleum industry must play a leading role to decarbonize its operations and support climate initiatives. Carbon Capture Utilization and Storage (CCUS) is the most viable option for decarbonizing the oil and gas industry. The main prerequisite for deployment of CCUS is the availability of viable, safe and secure geological storage facilities. Ghana is blessed with at least four sedimentary basins that could be deployed as suitable formations for CO2 storage. But these storage facilities must be identified and properly assessed to determine their storage potential. This project will identify, screen, score and rank geological storage facilities in Ghana in terms of their CO2 storage prospectivity to develop a preliminary CO2 Storage Resource Database for the country and prepare a knowledge gap score card to direct data mobilization towards a more robust assessment in future.
Objectives
- To conduct qualitative assessment of the four existing sedimentary basins in Ghana to identify, screen, score and rank suitable geological storage facilities for CCUS using a machine learning-based multi-criteria screening framework.
- To conduct a quantitative assessment of the promising storage facilities to estimate the total storage capacity and the amount of CO2 the country can mitigate through CCUS under current conditions.
Proposed Method
- Data Collection: Stakeholders including the Petroleum Commission (PC) and GNPC shall be consulted to mobilize data on the four sedimentary basins. Outcrop studies shall also be conducted to fill in missing data.
- Screening and Ranking: A machine learning-based multi-criteria framework shall be developed to screen, score and rank the storage facilities according to their CO2 storage prospectivity and eliminate those that do not meet the qualifying criteria.
- Storage Potential Estimation: The storage potential of the promising storage facilities including the storage capacity, injectivity and containment efficiency shall be estimated. A preliminary CO2 storage resource database shall then be developed.
- Knowledge Gap Analysis: Knowledge gap analysis shall be conducted to direct data mobilization towards a more robust assessment in the near future.