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.2022Journal Article Peer-ReviewedSSRN Electronic JournalAbstract ▾DOI: 10.2139/ssrn.4280048Cite
An Efficient Deep Learning-Based Workflow Incorporating a Reduced Physics Model for Subsurface Imaging in Unconventional ReservoirsOnishi, T., Chen, H., Datta-Gupta, A., and Mishra, S.2021Presentation Peer-ReviewedSPE Annual Technical Conference and ExhibitionAbstract ▾DOI: 10.2118/206065-msCite
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.2021Presentation Peer-ReviewedSPE Annual Technical Conference and ExhibitionAbstract ▾DOI: 10.2118/206249-msCite
Machine Learning Applications in Subsurface Energy Resource ManagementMishra, S.2022Book Peer-ReviewedCRC PressDOI: 10.1201/9781003207009Cite
