Stochastic flow simulation in 3D porous media
نویسندگان
چکیده
منابع مشابه
Stochastic langevin model for flow and transport in porous media.
We present a new model for fluid flow and solute transport in porous media, which employs smoothed particle hydrodynamics to solve a Langevin equation for flow and dispersion in porous media. This allows for effective separation of the advective and diffusive mixing mechanisms, which is absent in the classical dispersion theory that lumps both types of mixing into dispersion coefficient. The cl...
متن کاملIn-Situ Data Compression for Flow Simulation in Porous Media
Supercomputing simulations easily generate datasets in the range of tera or even peta bytes. However, writing datasets during simulation and reading them for post-processing implies a high I/O load and thus imposes a major bottleneck. In the computation phase, compute nodes stall at writing large amounts of data and the simulation slows down scientists have to capture data less frequently losin...
متن کاملNumerical Simulation of Three-Phase Flow in Heterogeneous Porous Media
We describe an efficient numerical simulator, based on an operator splitting technique, for three-phase flow in heterogeneous porous media that takes into account capillary forces, general relations for the relative permeability functions and variable porosity and permeability fields. Our numerical procedure combines a non-oscillatory, second order, conservative central difference scheme for th...
متن کاملMesoscopic Simulation of Rarefied Gas Flow in Porous Media
The accurate description of flow in nano-scale pores or channels is very important for the reliable design of materials and processes in the areas of MEMS, mesoporous media, and vacuum technologies. Use of classical flow equations fails in this regime since the continuum assumption is not valid. This is due to the fact that the mean free path is comparable to the characteristic dimensions of th...
متن کاملذخیره 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: Monte Carlo Methods and Applications
سال: 2005
ISSN: 0929-9629,1569-3961
DOI: 10.1515/1569396054027292