In this section
Our research includes exploring fundamental pore scale fluid dynamics, developing digital rocks analysis techniques, increasing the accuracy of field scale reservoir simulation, and evaluating the feasibility of scaling up CO2 storage to climate relevant scales.
StrataTrapper Advanced Modelling of CO2 Migration and Trapping
THMC4CCS: ThorougH experiMental and numerical investigation of Coupled processes for geologiC Carbon Storage
@article{Zahasky:2020:10.1039/d0ee00674b,
author = {Zahasky, C and Krevor, S},
doi = {10.1039/d0ee00674b},
journal = {Energy and Environmental Science},
pages = {1561--1567},
title = {Global geologic carbon storage requirements of climate change mitigation scenarios},
url = {http://dx.doi.org/10.1039/d0ee00674b},
volume = {13},
year = {2020}
}
TY - JOUR
AB - Integrated assessment models have identified carbon capture and storage (CCS) as an important technology for limiting climate change. To achieve 2 °C climate targets, many scenarios require tens of gigatons of CO2 stored per year by mid-century. These scenarios are often unconstrained by growth rates, and uncertainty in global geologic storage assessments limits resource-based constraints. Here we show how logistic growth models, a common tool in resource assessment, provide a mathematical framework for stakeholders to monitor short-term CCS deployment progress and long-term resource requirements in the context of climate change mitigation targets. Growth rate analysis, constrained by historic commercial CO2 storage rates, indicates sufficient growth to achieve several of the 2100 storage targets identified in the assessment reports of the Intergovernmental Panel on Climate Change. A maximum global discovered storage capacity of approximately 2700 Gt is needed to meet the most aggressive targets, with this ceiling growing if CCS deployment is delayed.
AU - Zahasky,C
AU - Krevor,S
DO - 10.1039/d0ee00674b
EP - 1567
PY - 2020///
SN - 1754-5692
SP - 1561
TI - Global geologic carbon storage requirements of climate change mitigation scenarios
T2 - Energy and Environmental Science
UR - http://dx.doi.org/10.1039/d0ee00674b
UR - https://pubs.rsc.org/en/content/articlelanding/2020/EE/D0EE00674B
UR - http://hdl.handle.net/10044/1/79709
VL - 13
ER -