Abstract
In January 2021, the Norwegian government presented a whitepaper describing its action plan to transform the society by 2030 [1]. Norway needs to reduce CO2 emissions by over 20 million tons per year by 2030 to meet its climate goals. In this plan, CCS is promoted as an effective mitigation tool. To achieve the emission goals, the pace of change and value creation must increase. Part of this game is to provide new efficient, reliable workflows and value chains for CO2 storage. In this work, performed through the LINCCS project, we present a software tool for quick assessment of CO2 injectivity and storage potential to be included in such workflows. The tool includes a fast analytical CO2 reservoir simulator, services that fetch data from the Cognite Reuse Atlas and Jupyter notebooks for running the simulator. The reservoir simulator is based on the method described by Azizi and Cinar (2013) [2] and Joshi et.al (2016) [3]. Azizi's model provides analytical solutions for pressure and saturation radially away from an injection well for three different types of formation outer boundary conditions – infinite acting, closed and constant-pressure boundaries, while Joshi et.al. addresses modelling of multiple injection wells. Using the CDF API we automate the lookup, fetching and forwarding of some of the input data to the assessment simulator tool.