| Model-Free Assessment of Inter-Well Connectivity in CO2 WAG Projects Using Statistical Recurrent Unit Models H Chen, D Sen, A Datta-Gupta, M Nagao SPE Annual Technical Conference and Exhibition?, D021S038R006, 2021 | 21 | 2021 |
| A description of Chinese characters using sub-patterns T Sakai, M Nagao, H Terai Information Processing (Japan) 10 (5), 285-293, 1969 | 18 | 1969 |
| An efficient deep learning-based workflow for CO2 plume imaging considering model uncertainties with distributed pressure and temperature measurements M Nagao, C Yao, T Onishi, H Chen, A Datta-Gupta, S Mishra International Journal of Greenhouse Gas Control 132, 104066, 2024 | 10 | 2024 |
| An Efficient Deep Learning-Based Workflow for CO2 Plume Imaging Using Distributed Pressure and Temperature Measurements M Nagao, C Yao, T Onishi, H Chen, A Datta-Gupta SPE Annual Technical Conference and Exhibition?, D021S033R002, 2022 | 9 | 2022 |
| A deep-learning based accelerated workflow for robust co2 plume imaging at the illinois basin-decatur carbon sequestration project C Yao, M Nagao, A Datta-Gupta National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV …, 2023 | 6 | 2023 |
| An efficient deep learning-based workflow for CO2 plume imaging with distributed pressure and temperature measurements M Nagao, C Yao, T Onishi, H Chen, A Datta-Gupta SPE Journal, 1-15, 2023 | 5 | 2023 |
| An Efficient Deep Learning-Based Workflow for CO2 Plume Imaging Considering Model Uncertainties Using Distributed Pressure and Temperature Measurements M Nagao, C Yao, T Onishi, H Chen, A Datta-Gupta, S Mishra Proceedings of the 16th Greenhouse Gas Control Technologies Conference (GHGT …, 2022 | 5 | 2022 |
| Data-Driven Discovery of Physics for Reservoir Surveillance M Nagao, W Sun, S Sankaran SPE Western Regional Meeting, D031S013R002, 2022 | 5 | 2022 |
| Fukibayashi: Line extraction and pattern recognition in a photograph T Sakai, M Nagao Pattern Recognition 1, 233-248, 1969 | 5 | 1969 |
| Reservoir connectivity identification and robust production forecasting using physics informed machine learning M Nagao, A Datta-Gupta, T Onishi, S Sankaran SPE Reservoir Simulation Conference?, D011S004R002, 2023 | 3 | 2023 |
| CO2 plume imaging with accelerated deep learning-based data assimilation using distributed pressure and temperature measurements at the Illinois Basin … T Sakai, M Nagao, CH Chan, A Datta-Gupta Carbon Capture, Utilization, and Storage Conference and Exhibition, 11–13 …, 2024 | 1 | 2024 |
| Physics Informed Machine Learning for Reservoir Connectivity Identification and Robust Production Forecasting M Nagao, A Datta-Gupta, T Onishi, S Sankaran SPE Journal, 1-15, 2024 | | 2024 |
| An Efficient Deep Learning-Based Workflow for Real-Time CO2 Plume Visualization in Saline Aquifer using Distributed Pressure and Temperature Measurements C Yao, M Nagao, A Datta-Gupta, S Mishra Geoenergy Science and Engineering, 212990, 2024 | | 2024 |
| Data-driven discovery of reservoir physics for reservoir surveillance S Sankaran, W Sun, M Nagao US Patent App. 18/092,971, 2023 | | 2023 |
| Distributed Agent Optimization for Large-Scale Network Models M Nagao, S Sankaran, Z Guo SPE Western Regional Meeting, D031S010R005, 2023 | | 2023 |
| Towards Real Time CO2 Plume Imaging Using Machine Learning M Nagao, A Datta-Gupta AGU Fall Meeting Abstracts 2022, H16H-05, 2022 | | 2022 |
| Data-Driven Reservoir Modeling using Recurrent Neural Network and Physics-Based Network Model M Nagao | | 2021 |
