@Article{CiCP-16-1010,
author = {Heng Li},
title = {Conditional Simulation of Flow in Heterogeneous Porous Media with the Probabilistic Collocation Method},
journal = {Communications in Computational Physics},
year = {2014},
volume = {16},
number = {4},
pages = {1010--1030},
abstract = {<p style="text-align: justify;">A stochastic approach to conditional simulation of flow in randomly heterogeneous media is proposed with the combination of the Karhunen-Loeve expansion
and the probabilistic collocation method (PCM). The conditional log hydraulic conductivity field is represented with the Karhunen-Loeve expansion, in terms of some
deterministic functions and a set of independent Gaussian random variables. The
propagation of uncertainty in the flow simulations is carried out through the PCM,
which relies on the efficient polynomial chaos expansion used to represent the flow
responses such as the hydraulic head. With the PCM, existing flow simulators can be
employed for uncertainty quantification of flow in heterogeneous porous media when
direct measurements of hydraulic conductivity are taken into consideration. With illustration of several numerical examples of groundwater flow, this study reveals that
the proposed approach is able to accurately quantify uncertainty of the flow responses
conditioning on hydraulic conductivity data, while the computational efforts are significantly reduced in comparison to the Monte Carlo simulations.</p>},
issn = {1991-7120},
doi = {https://doi.org/10.4208/cicp.090513.040414a},
url = {http://global-sci.org/intro/article_detail/cicp/7070.html}
}