Litcius/Paper detail

Physical-informed deep learning framework for CO<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si9.svg" display="inline" id="d1e596"><mml:msub><mml:mrow/><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:math>-injected EOR compositional simulation

Ruixiao Sun, Huanquan Pan, Hongyu Xiong, Hamdi A. Tchelepi

2023Engineering Applications of Artificial Intelligence17 citationsDOI

Topics & Concepts

Computer scienceConvergence (economics)Phase (matter)AlgorithmReservoir simulationGridArtificial intelligencePetroleum engineeringMathematicsGeologyChemistryEconomic growthGeometryEconomicsOrganic chemistryEnhanced Oil Recovery TechniquesReservoir Engineering and Simulation MethodsCO2 Sequestration and Geologic Interactions
Physical-informed deep learning framework for CO<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si9.svg" display="inline" id="d1e596"><mml:msub><mml:mrow/><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:math>-injected EOR compositional simulation | Litcius