Surrogate accelerated sampling of reservoir models with complex structures using sparse polynomial chaos expansion
By Hamid Bazargan, M. Christie, Ahmed H. Elsheikh, Mohammad Hossein Ahmadi. 2015
52 citations recorded by the source corpus.
Subfields: Environmental Engineering, Statistical and Nonlinear Physics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/c465df24c8163f8719cd9e6d18e783e80492629a
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In Environmental Engineering
In Statistical and Nonlinear Physics
In Statistics and Probability
Citations in the corpus
- A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems (2019, methodology): “[9] for inverse modeling with a 40-parameter representation of a 2D fluvial channelized reservoir undergoing waterflooding.”