Addressing the challenges for carbon capture and storage technology (CCS) to deep decarbonisation
Project Description
Most deep decarbonisation scenarios that limit global average temperature rise to 2 degrees Celsius or less involve rapid growth and widespread deployment of carbon capture and storage technologies (CCS), to mitigate emissions from thermal power generation, industrial processes and biofuels production during the next few decades, and/or to deliver negative emissions in the second half of the century.
To date, CCS deployment has fallen well short of expectations, with many projects being cancelled during the feasibility study phase, permitting and/or financing. Much of the literature attributes these failures to excessive capital cost, public opposition, inadequate legal framework, and/or a lack of policy support. CO2 storage capacity uncertainty is also likely to be a critical barrier to rapid, large-scale deployment especially for regions which do not host a significant upstream oil and gas industrial ecosystem.
Working with researchers at Princeton University, the project team will investigate approaches to provide practicable CO2 storage (reserves-like) capacity assessments for China and India. The researchers are developing and verifying a method to translate/approximate available oil and gas reserves and production rate data to Original Oil in Place (OOIP) data. They use this to translate/approximate available CO2 (OOIP-like) pore space data to injection rate-based storage capacity assessments, and ultimately, reserves-like estimates for CO2 storage capacity.
Researchers
Andrew Garrett; Chris Greig; Joe Lane