Modeling and scale-bridging using machine learning: nanoconfinement effects in porous media

por Lubbers, Nicholas, Agarwal, Animesh, Chen, Yu, Son, Soyoun, Mehana, Mohamed, Kang, Qinjun, Karra, Satish, Junghans, Christoph, Germann, Timothy C., Viswanathan, Hari S.
Publicado 2020

Quantifying Topological Uncertainty in Fractured Systems using Graph Theory and Machine Learning

por Srinivasan, Gowri, Hyman, Jeffrey D., Osthus, David A., Moore, Bryan A., O’Malley, Daniel, Karra, Satish, Rougier, Esteban, Hagberg, Aric A., Hunter, Abigail, Viswanathan, Hari S.
Publicado 2018

A machine learning framework for rapid forecasting and history matching in unconventional reservoirs

por Srinivasan, Shriram, O’Malley, Daniel, Mudunuru, Maruti K., Sweeney, Matthew R., Hyman, Jeffrey D., Karra, Satish, Frash, Luke, Carey, J. William, Gross, Michael R., Guthrie, George D., Carr, Timothy, Li, Liwei, Viswanathan, Hari S.
Publicado 2021

Predictive scale-bridging simulations through active learning

por Karra, Satish, Mehana, Mohamed, Lubbers, Nicholas, Chen, Yu, Diaw, Abdourahmane, Santos, Javier E., Pachalieva, Aleksandra, Pavel, Robert S., Haack, Jeffrey R., McKerns, Michael, Junghans, Christoph, Kang, Qinjun, Livescu, Daniel, Germann, Timothy C., Viswanathan, Hari S.
Publicado 2023