A Comparative Study of the Probabilistic-Collocation and Experimental-Design Methods for Petroleum-Reservoir Uncertainty Quantification
By Heng Li, Pallav Sarma, Dongxiao Zhang. 2011
54 citations recorded by the source corpus.
Subfields: Mechanical Engineering, Ocean Engineering, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/7064584b076530b6aa80777fcc67b1f733a6cdb1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Mechanical Engineering
- M. Christie
- Sergey Oladyshkin
- Wolfgang Nowak
- Ahmed H. Elsheikh
- Holger Class
- Mohammad Hossein Ahmadi
- Hamid Bazargan
In Ocean Engineering
- Ahmed H. Elsheikh
- Sergey Oladyshkin
- Holger Class
- M. Christie
- Wolfgang Nowak
- Mohammad Hossein Ahmadi
- Hamid Bazargan
- Knut-Andreas Lie
In Statistics and Probability
- Wolfgang Nowak
- Sergey Oladyshkin
- Holger Class
- M. Christie
- Ahmed H. Elsheikh
- Mohammad Hossein Ahmadi
- Hamid Bazargan
Citations in the corpus
- Surrogate accelerated sampling of reservoir models with complex structures using sparse polynomial chaos expansion (2015, background): “Unfortunately, the sparsity of effects assumption does not hold for a range of practical applications in the literature [42].”
- Bayesian updating via bootstrap filtering combined with data-driven polynomial chaos expansions: methodology and application to history matching for carbon dioxide storage in geological formations (2013, methodology): “As an improvement of classical optimization, several successful stochastic approximation methods have been adapted for the history matching problem [3, 21, 40].”