A multiscale probabilistic collocation method for subsurface flow in heterogeneous media

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Probabilistic collocation method for unconfined flow in heterogeneous media

0022-1694/$ see front matter Published by Elsevier doi:10.1016/j.jhydrol.2008.11.012 * Corresponding author. Tel.: +1 323 710 3690; fax E-mail address: [email protected] (L. Shi). In this study, we make use of the probabilistic collocation method in studying nonlinear flow in heterogeneous unconfined aquifers. In realistic problems there may exist multiple random inputs, nonlinearity, rainfall/e...

متن کامل

A stochastic heterogeneous multiscale method for porous media flow

A new multiscale algorithm is introduced based on the framework of the heterogeneous multiscale method. The mixed finite element method used ensures continuity of the flux within the entire domain. This method is shown to be free of “resonance error” and uses less memory than the mixed multiscale finite element method. To account for the highstochastic dimensionality of the permeability field, ...

متن کامل

Modeling diffusion in random heterogeneous media: Data-driven models, stochastic collocation and the variational multiscale method

In recent years, there has been intense interest in understanding various physical phenomena in random heterogeneous media. Any accurate description/simulation of a process in such media has to satisfactorily account for the twin issues of randomness as well as the multi-length scale variations in the material properties. An accurate model of the material property variation in the system is an ...

متن کامل

Probabilistic collocation method for flow in porous media: Comparisons with other stochastic methods

[1] An efficient method for uncertainty analysis of flow in random porous media is explored in this study, on the basis of combination of Karhunen-Loeve expansion and probabilistic collocation method (PCM). The random log transformed hydraulic conductivity field is represented by the Karhunen-Loeve expansion and the hydraulic head is expressed by the polynomial chaos expansion. Probabilistic co...

متن کامل

A stochastic mixed finite element heterogeneous multiscale method for flow in porous media

A computational methodology is developed to efficiently perform uncertainty quantification for fluid transport in porous media in the presence of both stochastic permeability and multiple scales. In order to capture the small scale heterogeneity, a new mixed multiscale finite element method is developed within the framework of the heterogeneous multiscale method (HMM) in the spatial domain. Thi...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Water Resources Research

سال: 2010

ISSN: 0043-1397

DOI: 10.1029/2010wr009066