Litcius/Paper detail

Storage efficiency prediction for feasibility assessment of underground CO2 storage: Novel machine learning approaches

Farshad Sadeghpour

2025Energy12 citationsDOI

Topics & Concepts

Computer scienceMachine learningProcess engineeringArtificial intelligenceEngineeringReliability engineeringCO2 Sequestration and Geologic InteractionsHydraulic Fracturing and Reservoir AnalysisEnhanced Oil Recovery Techniques
Storage efficiency prediction for feasibility assessment of underground CO2 storage: Novel machine learning approaches | Litcius