Ming Fan Contact fanm@ornl.gov Publications A deep learning-based workflow for fast prediction of 3D state variables in geological carbon storage: A dimension reduction approach Journal June, 2024 Advancing spatiotemporal forecasts of CO 2 plume migration using deep learning networks with transfer learning and interpretation analysis February, 2024 Advancing subseasonal reservoir inflow forecasts using an explainable machine learning method... December, 2023 Explainable machine learning model for multi-step forecasting of reservoir inflow with uncertainty quantification December, 2023 A Comparative Study of Deep Learning Models for Fracture and Pore Space Segmentation in Synthetic Fractured Digital Rocks Conference Paper October, 2023 Pagination Current page 1 Page 2 Page 3 Next page ›› Last page Last » View All Key Links Google Scholar ORCID GitHub Organizations Computing and Computational Sciences Directorate Computational Sciences and Engineering Division Advanced Computing Methods for Physical Sciences Section Computational Earth Sciences Group
A deep learning-based workflow for fast prediction of 3D state variables in geological carbon storage: A dimension reduction approach Journal June, 2024
Advancing spatiotemporal forecasts of CO 2 plume migration using deep learning networks with transfer learning and interpretation analysis February, 2024
Advancing subseasonal reservoir inflow forecasts using an explainable machine learning method... December, 2023
Explainable machine learning model for multi-step forecasting of reservoir inflow with uncertainty quantification December, 2023
A Comparative Study of Deep Learning Models for Fracture and Pore Space Segmentation in Synthetic Fractured Digital Rocks Conference Paper October, 2023