Editorial to the Special Issue: Uncertainty Quantification and Multiple-Scale Methods for Porous Media
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Chemical Engineering,Catalysis
Link
http://link.springer.com/article/10.1007/s11242-018-1212-1/fulltext.html
Reference17 articles.
1. Asiaei, S., Zadehkafi, A., Siavashi, M.: Multi-layered porous foam effects on heat transfer and entropy generation of nanofluid mixed convection inside a two-sided lid-driven enclosure with internal heating. Transp. Porous Media (2019). https://doi.org/10.1007/s11242-018-1166-3
2. Babaei, M.: Integrated carbon sequestration–geothermal heat recovery: performance comparison between open and close systems. Trans. Porous Media (2019). https://doi.org/10.1007/s11242-018-1042-1
3. Chiachío, J., Chiachío, M., Sankararaman, S., Prescott, D.: A Bayesian assessment of an approximate model for unconfined water flow in sloping layered porous media. Transp. Porous Media (2019). https://doi.org/10.1007/s11242-018-1094-2
4. Crevillén-García, D., Leung, P.K., Rodchanarowan, A., Shah, A.A.: Uncertainty quantification for flow and transport in highly heterogeneous porous media based on simultaneous stochastic model dimensionality reduction. Transp. Porous Media (2019). https://doi.org/10.1007/s11242-018-1114-2
5. Dagan, G., Neuman, S.P.: Subsurface Flow and Transport: A Stochastic Approach. Cambridge University Press, Cambridge (1997)
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