An Efficient Deep Learning-Based Workflow for CO2 Plume Imaging Using Distributed Pressure and Temperature MeasurementsNagao, M., Yao, C., Onishi, T., Chen, H., and Datta-Gupta, A.2022Proceedings Refereed Peer-ReviewedIn SPE Annual Technical Conference and Exhibition, Art. D021S033R002Abstract ▾(Published: September 26, 2022)DOIDOI: 10.2118/210309-msCite
An Efficient Deep Learning-Based Workflow for CO2 Plume Imaging Considering Model Uncertainties Using Distributed Pressure and Temperature MeasurementsNagao, M., Yao, C., Onishi, T., Chen, H., Datta-Gupta, A., and Mishra, S.2022Proceedings Refereed Peer-ReviewedIn 16th Greenhouse Gas Control Technologies Conference (GHGT-16) (Lyon, France)Abstract ▾(Published: January 1, 2022)DOIDOI: 10.2139/ssrn.4280048Cite
Robust CO2 Plume Imaging Using Joint Tomographic Inversion of Distributed Pressure and Temperature MeasurementsYao, C., Chen, H., Onishi, T., Datta-Gupta, A., Mawalkar, S., Mishra, S., and Pasumarti, A.2021Proceedings Refereed Peer-ReviewedIn SPE Annual Technical Conference and Exhibition, Art. D021S023R006Abstract ▾(Published: September 15, 2021)DOIDOI: 10.2118/206249-msCite
