Heat and mass transport in random velocity fields with application to dispersion in porous media

1995 ◽  
Vol 29 (1) ◽  
pp. 77-89 ◽  
Author(s):  
Roberto Mauri
Keyword(s):  
Porous Media ◽  
Mass Transport ◽  
Velocity Fields ◽  
Heat And Mass Transport ◽  
Random Velocity

SHEMAT-Suite: a parallel open source simulator for flow, heat and mass transport in porous media

2021 ◽  
Author(s):  
Johannes Keller ◽  
Johanna Fink ◽  
Norbert Klitzsch
Keyword(s):  
Porous Media ◽  
Mass Transport ◽  
Open Source ◽  
Source Code ◽  
Modular Structure ◽  
Numerical Code ◽  
Heat And Mass Transport ◽  
Transport In Porous Media ◽  
Wide Range ◽  
Flow Heat

<p>We present SHEMAT-Suite, a numerical code for simulating flow, heat, and mass transport in porous media that has been published as an open source code recently. The functionality of SHEMAT-Suite comprises pure forward computation, deterministic Bayesian inversion, and stochastic Monte Carlo<br>simulation and data assimilation. Additionally, SHEMAT-Suite features a multi-level OpenMP parallelization. Along with the source code of the software, extensive documentation and a suite of test models is provided.</p><p>SHEMAT-Suite has a modular structure that makes it easy for users to adapt the code to their needs. Most importantly, there is an interface for defining the functional relationship between dynamic variables and subsurface parameters. Additionally, user-defined input and output can be implemented without interfering with the core of the code. Finally, at a deeper level, linear solvers and preconditioners can be added to the code.</p><p>We present studies that have made use of the code's HPC capabilities. SHEMAT-Suite has been applied to large-scale groundwater models for a wide range of purposes, including studying the formation of convection cells, assessing geothermal potential below an office building, or modeling submarine groundwater discharge since the last ice age. The modular structure of SHEMAT-Suite has also led to diverse applications, such as glacier modeling, simulation of borehole heat exchangers, or Optimal Experimental Design applied to the placing of geothermal boreholes.</p><p>Further, we present ongoing developments for improving the performance of SHEMAT-Suite, both by refactoring the source code and by interfacing SHEMAT-Suite with up-to-date HPC software. Examples of this include interfacing SHEMAT-Suite with the Portable Data Interface (PDI) for improved data management, interfacing SHEMAT-Suite with PetSC for MPI-parallel solvers, and interfacing SHEMAT-Suite with PDAF for parallel EnKF algorithms.</p><p>The goal for the open source SHEMAT-Suite is to provide a rigorously tested core code for flow, heat and transport simulation, Bayesian and stochastic inversion, while at the same time enabling a wide range of scientific research through straightforward user interaction.</p>

CAPILLARY POROUS MEDIA: INTERNAL HEAT AND MASS TRANSPORT

1991 ◽  
Vol 9 (1) ◽  
pp. 139-158 ◽  
Author(s):  
Michael Schönherr ◽  
Horst Mocikat
Keyword(s):  
Porous Media ◽  
Mass Transport ◽  
Internal Heat ◽  
Heat And Mass Transport

Heat Exchange in Unsaturated Porous Media with Heat Dependent Water Flow

2019 ◽  
Vol 391 ◽  
pp. 1-10
Author(s):  
Jozef Kačur ◽  
Patrik Mihala
Keyword(s):  
Porous Media ◽  
Parabolic Equation ◽  
Heat Exchange ◽  
Mass Transport ◽  
Numerical Experiments ◽  
Linear Parabolic Equation ◽  
Hydraulic Permeability ◽  
Unsaturated Porous Media ◽  
Input Output ◽  
Heat And Mass Transport

We discuss the heat and mass transport in unsaturated-saturated porous mediaincluding heat exchange between inltrated water and matrix. We include the thermal inuenceon hydraulic permeability and on the water expansion which changes the water saturation.This consequently inuences the hydraulic permeability.Numerical modelling includes the direct and inverse solution of the problem, where model parametersare determined. Numerical experiments require only simple input/output measurementsof suitable ow characteristics in laboratory conditions with 3D cylindrical samples.The ow model is based on Richard's strongly non-linear parabolic equation based on empiricalvan Genuchten's capillary-pressure model. The transport includes longitudinal and transversaldispersion.

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