Uncertainty Quantification for Flow and Transport in Highly Heterogeneous Porous Media Based on Simultaneous Stochastic Model Dimensionality Reduction

Groundwater flow models are usually subject to uncertainty as a consequence of the random representation of the conductivity field. In this paper, we use a Gaussian process model based on the simultaneous dimension reduction in the conductivity input and flow field output spaces in order quantify th...

Descripción completa

Detalles Bibliográficos
Autores principales: Crevillén-García, D., Leung, P. K., Rodchanarowan, A., Shah, A. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6390710/
https://www.ncbi.nlm.nih.gov/pubmed/30872877
http://dx.doi.org/10.1007/s11242-018-1114-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6390710/
https://www.ncbi.nlm.nih.gov/pubmed/30872877
http://dx.doi.org/10.1007/s11242-018-1114-2

Ejemplares similares