Efficient big data assimilation through sparse representation: A 3D benchmark case study in petroleum engineering.
Data assimilation is an important discipline in geosciences that aims to combine the information contents from both prior geophysical models and observational data (observations) to obtain improved model estimates.Ensemble-based methods are among the state-of-the-art assimilation algorithms in the data assimilation community.When applying ensemble-