Litcius/Paper detail

Advancing spatiotemporal forecasts of CO<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si72.svg" display="inline" id="d1e380"><mml:msub><mml:mrow/><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:math> plume migration using deep learning networks with transfer learning and interpretation analysis

Ming Fan, Hongsheng Wang, Jing Zhang, Seyyed A. Hosseini, Dan Lu

2024International journal of greenhouse gas control17 citationsDOIOpen Access PDF

Topics & Concepts

PlumeComputer scienceDeep learningArtificial intelligenceConvolutional neural networkEmulationMachine learningAlgorithmMeteorologyGeographyEconomicsEconomic growthCO2 Sequestration and Geologic InteractionsReservoir Engineering and Simulation MethodsEnhanced Oil Recovery Techniques