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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6063400/ https://www.ncbi.nlm.nih.gov/pubmed/30052628 http://dx.doi.org/10.1371/journal.pone.0198586 |