Beam Me Up SCO2TPRO: A Comparison to the FE/NETL CO2 Saline Storage Cost Model and Updates on Tool Development

Abstract

In order to meet climate goals, carbon capture and storage (CCS) needs to be developed at a large scale. A major factor in developing CCS is where CO2 can be safely stored, and for what cost. To assist with this determination, we have developed the professional version of the Sequestration of CO2 Tool (SCO2TPRO). In this paper, we introduce SCO2TPRO and compare its performance to the FE/NETL CO2 Saline Storage Cost Model. Finally, we present on-going development progress including developing new training data with the STOMP reservoir simulator, advanced reduced order models, and refined geologic inputs.

Keywords: Carbon capture and storage, Site screening, Machine learning