Physics-guided machine learning using engineered dimensionless parameters to predict CO2 trapping indices in heterogeneous carbonate saline aquifers
Year: 2026
Type: article
Source: Gas Science and Engineering
Institution: Nazarbayev University
Language: English
Subfield: Environmental Engineering
Field: Environmental Science
Domain: Physical Sciences
SDG: Climate action
Open Access status: closed
Funder: Nazarbayev University
Award: G1412109742
OpenAlex ID: W7170823143
