Center for Computational Science and Engineering (CCSE): Recent submissions
Now showing items 22-24 of 74
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Enhancement of unconventional oil and gas production forecasting using mechanistic-statistical modeling
(Massachusetts Institute of Technology, 2020)Unconventional oil and gas basins have rapidly become expansive and critical energy resource systems. However, accurately predicting highly variable well production rates remains challenging, given the typically poor ... -
Bayesian learning for high-dimensional nonlinear dynamical systems : methodologies, numerics and applications to fluid flows
(Massachusetts Institute of Technology, 2020)The rapidly-growing computational power and the increasing capability of uncertainty quantification, statistical inference, and machine learning have opened up new opportunities for utilizing data to assist, identify and ... -
Prediction, analysis, and learning of advective transport in dynamic fluid flows
(Massachusetts Institute of Technology, 2021)Transport of any material quantity due to background fields, i.e. advective transport, in fluid dynamical systems has been a widely studied problem. It is of crucial importance in classical fluid mechanics, geophysical ...
