Deep-learning-based surrogate models show great promise for use in geolo...
Closed-loop reservoir management (CLRM), in which history matching and
p...
Data assimilation presents computational challenges because many
high-fi...
A general control policy framework based on deep reinforcement learning ...
Production optimization under geological uncertainty is computationally
...
A deep-learning-based surrogate model capable of predicting flow and
geo...
Geological parameterization enables the representation of geomodels in t...
Data-space inversion (DSI) and related procedures represent a family of
...
A deep-learning-based surrogate model is developed and applied for predi...
A new low-dimensional parameterization based on principal component anal...