The road to a stabilized climate is challenging and contentious.
One of the removal methods scientists are exploring is known as carbon capture and storage .
CO2 flow inside the pore space of a millimeter-sized rock sample, which is initially filled with brine.
A physics-guided deep learning framework proposed for anomaly detection in soil gas data at geologic CO2 storage sites.
Another effective process that ensures the security of CO₂ storage is capillary trapping, which happens when CO₂ pinches off and becomes immobilized in the pore space by capillary forces.
Supercomputers are one of the key tools that geoscientists have at their disposal to study processes relevant to carbon capture and storage, according to Bakhshian.
Writing in Environmental Science and Technology in October 2021, Bakhshian proposed a deep learning framework to detect anomalies in soil gas concentration sensor data.
Though some environmentalists argue that CCS is simply a way for energy companies to continue to extract fossil fuels, others, including the International Panel on Climate Change, include CCS as one of the ways the global community can achieve net-zero emissions by mid-century.