Skip to content
Snippets Groups Projects
Commit aace6f1b authored by Melanie Lipp's avatar Melanie Lipp Committed by Katharina Heck
Browse files

[doc][handbook] Include examples in handbook.

parent 8bf95129
No related branches found
No related tags found
1 merge request!1717Feature/handbook
...@@ -11,6 +11,7 @@ ...@@ -11,6 +11,7 @@
\usepackage{enumerate} \usepackage{enumerate}
\usepackage{hyperref} \usepackage{hyperref}
\usepackage{graphicx} \usepackage{graphicx}
\usepackage{mhchem}
\usepackage{listings} \usepackage{listings}
\usepackage[square,numbers]{natbib} \usepackage[square,numbers]{natbib}
...@@ -124,7 +125,19 @@ how to build the documentation and about external libraries and modules. ...@@ -124,7 +125,19 @@ how to build the documentation and about external libraries and modules.
\input{3_detailedinstall} \input{3_detailedinstall}
\chapter{Learning to use \Dumux}\label{chp:tutorial} \chapter{Learning to use \Dumux}\label{chp:tutorial}
So, you've downloaded your very own copy of \Dumux and its dependencies.
You've run dunecontrol, and your example ``test$\_$dumux" not only compiles,
but it even shows a nice simulation in ParaView.
Maybe you've read through parts of the handbook, and even started looking
through the Doxygen documentation.
Well done. What now? \par
%
\textit{``How on earth is this going to help me solve my multi-(phase, component,
scale, physics) flow and transport problems in porous media systems?''}, you begin to wonder.
Don't panic! In order to best ease our prospective users and developers into the
wonderful \Dumux simulation environment, we've prepared a \Dumux course and extensively-documented examples.
\input{4_course} \input{4_course}
\input{4_examples}
\input{4_furtherpractice} \input{4_furtherpractice}
\chapter{Overview and Infrastructure} \chapter{Overview and Infrastructure}
......
So, you've downloaded your very own copy of \Dumux and its dependencies. \section{Hands-on \Dumux experience -- the \Dumux course}
You've run dunecontrol, and your example ``test$\_$dumux" not only compiles,
but it even shows a nice simulation in ParaView.
Maybe you've read through parts of the handbook, and even started looking
through the Doxygen documentation.
Well done. What now? \par
%
\textit{``How on earth is this going to help me solve my multi-(phase, component,
scale, physics) flow and transport problems in porous media systems?''}, you begin to wonder.
Don't panic! In order to best ease our prospective users and developers into the
wonderful \Dumux simulation environment, we've prepared a \Dumux course.
This course is offered once a year over a period of 3 days at the University of Stuttgart. This course is offered once a year over a period of 3 days at the University of Stuttgart.
If you're looking for information on attending, subscribe to the \Dumux mailing list If you're looking for information on attending, subscribe to the \Dumux mailing list
and stay tuned for updates: and stay tuned for updates:
......
\section{Experience \Dumux by reading -- the \Dumux examples}
As an alternative to going through exercises, you can have a look at our well-documented \Dumux examples. They show how to apply \Dumux to typical physical problems. In the \texttt{README.md} files, the setup is explained, the used code is presented and documented and images resulting from the simulation are included. The \texttt{README.md} files are located directly in the subfolders of \texttt{examples} and can be displayed by web browsers.
We currently have the examples
\begin{itemize}
\item \texttt{1ptracer}: one-phase groundwater flow including a tracer
\item \texttt{2pinfiltration}: two-phase infiltration problem
\item \texttt{shallowwaterfriction}: steady subcritical shallow water flow including bottom friction
\end{itemize}
The number of examples is continuously growing.
\ No newline at end of file
...@@ -39,7 +39,7 @@ contained in the \texttt{dumux-lecture} module: ...@@ -39,7 +39,7 @@ contained in the \texttt{dumux-lecture} module:
\item \texttt{co2plume}: Analysis of the influence of the gravitational number on the $\text{CO}_2$ plume \item \texttt{co2plume}: Analysis of the influence of the gravitational number on the $\text{CO}_2$ plume
\item \texttt{columnxylene}: A VEGAS experiment \item \texttt{columnxylene}: A VEGAS experiment
\item \texttt{convectivemixing}: A test case related to CO$_2$ storage \item \texttt{convectivemixing}: A test case related to CO$_2$ storage
\item \texttt{fuelcell}%TODO \item \texttt{fuelcell}: Water management in PEM fuel cells
\item \texttt{heatpipe}: A show case for two-phase two-component flow with heat fluxes \item \texttt{heatpipe}: A show case for two-phase two-component flow with heat fluxes
\item \texttt{heavyoil}: Steam assisted gravity drainage (SAGD) \item \texttt{heavyoil}: Steam assisted gravity drainage (SAGD)
\item \texttt{henryproblem}: A show case related to salt water intrusion \item \texttt{henryproblem}: A show case related to salt water intrusion
......
...@@ -9,6 +9,7 @@ ...@@ -9,6 +9,7 @@
\item \texttt{dumux}: the main folder, containing the source files. See \ref{fig:dumux-structure} \item \texttt{dumux}: the main folder, containing the source files. See \ref{fig:dumux-structure}
for a visualized structure. For more information on the models have a look at the for a visualized structure. For more information on the models have a look at the
Doxygen documentation. Doxygen documentation.
\item \texttt{examples}: well-documented examples of applying \Dumux to typical physical problems. In the \texttt{README.md} files, the setup is explained, the used code is presented and documented and images resulting from the simulation are included. The \texttt{README.md} files are located directly in the subfolders of \texttt{examples} and can be displayed by web browsers.
\item \texttt{test}: tests for each numerical model and some functionality. \item \texttt{test}: tests for each numerical model and some functionality.
The structure is equivalent to the \texttt{dumux} folder, the \texttt{references} folder The structure is equivalent to the \texttt{dumux} folder, the \texttt{references} folder
contains solutions for the automatic testing. Each test program consist of a main file contains solutions for the automatic testing. Each test program consist of a main file
......
...@@ -3,7 +3,6 @@ Here the basic definitions, the general models concept, and a list of ...@@ -3,7 +3,6 @@ Here the basic definitions, the general models concept, and a list of
models available in \Dumux are given. The actual differential equations models available in \Dumux are given. The actual differential equations
can be found in the local residuals (see Doxygen documentation of the can be found in the local residuals (see Doxygen documentation of the
model's \texttt{LocalResidual} class). model's \texttt{LocalResidual} class).
%TODO: Add more physics
\subsection{Basic Definitions and Assumptions} \subsection{Basic Definitions and Assumptions}
The basic definitions and assumptions are made, using the example The basic definitions and assumptions are made, using the example
...@@ -125,6 +124,207 @@ $\boldsymbol{v}_\alpha$ & velocity (Darcy or free flow)& & \\ ...@@ -125,6 +124,207 @@ $\boldsymbol{v}_\alpha$ & velocity (Darcy or free flow)& & \\
\label{fig:phaseMassEnergyTransfer} \label{fig:phaseMassEnergyTransfer}
\end{figure} \end{figure}
\subsection[Scale]{Scale\footnote{\label{foot:hommel}This subsection is taken from \cite{hommel2016modeling} in a slightly adapted form.}}
Depending on the scale of interest, physical and chemical processes and properties can be described
using different approaches.
On the molecular scale, the properties and interactions of individual molecules are described,
which is only feasible for a restricted number of molecules.
For larger systems, a continuum approach is used, where properties are averaged over
groups of similar molecules, assuming continuous matter. This upscaling by averaging
from the molecular scale results in the micro-scale, on which the system is described by
the pore geometry and the distribution of distinct fluid phases within the pores.
However, for larger laboratory or field-scale applications, the micro-scale is still
computationally prohibitively expensive and system descriptions on the macro-scale
are used for calculations. The macro-scale description is obtained by averaging over the
micro-scale properties within a representative elementary volume (REV),
which needs to be large enough to ensure that the averaged properties are independent of the REV size
or position. However, it should in turn be much smaller than the entire domain size \citep{helmig1997multiphase}. %(Bear 1988)
The detailed pore-geometry and phase-distribution information of the micro-scale is lost
on the macro-scale and replaced by volume average quantities,
such as porosity, permeability and phase saturation,
and relations like the Darcy's law.
The macro-scale is also called the REV (or Darcy) scale and is the scale of the
models available in \Dumux.
\subsection[Porous medium properties]{Porous medium properties\footref{foot:hommel}}
\subsubsection{Porosity}
The porosity $\phi$ is defined as the fraction of the volume occupied by fluids in an REV $V_\mathrm{fluid}$
divided by the total volume of the REV $V_\mathrm{total}$.
\begin{equation}\label{eq:def_poro}
\phi=\frac{V_\mathrm{fluid}}{V_\mathrm{total}}=1-\frac{V_\mathrm{solid}}{V_\mathrm{total}}.
\end{equation}
\subsubsection{Intrinsic permeability}
The intrinsic permeability is a measure on the REV scale of the ease of fluid flow through porous media.
It relates the potential gradient and the resulting flow velocity in the Darcy equation.
As the porous medium may have a structure leading to preferential flow in certain directions,
intrinsic permeability is in general a tensorial quantity $\mathbf{K}$.
For isotropic porous media, it can be reduced to a scalar quantity $K$.
% \begin{equation}
% \mathbf{v}=
% \end{equation}
\newpage
\subsection[Phases and components]{Phases and components\footref{foot:hommel}}\label{sec:phases_components}
A phase is defined as a continuum having distinct properties (e.g. density and viscosity). If phases are miscible, they contain dissolved portions of the substance of the other phase.
Fluid and solid phases are distinguished. The fluid phases have different affinities to the solid phases. The phase, which has a higher affinity to the solid phases is referred to as the (more) wetting phase. In the case of two phases, the less wetting one is called the non-wetting phase.
The fluid phases may be composed of several components, while the solid phases are assumed to consist exclusively of a single component. Components are distinct chemical species or a group of chemical species.
The composition of the components in a phase can influence the phase properties.
\subsubsection{Mass fraction, mole fraction}\label{sec:mole_frac_molality}
The composition of a phase is described by mass or mole fractions of the components.
The mole fraction $x^\kappa_\alpha$ of component $\kappa$ in phase $\alpha$ is defined as:
\begin{equation}\label{eq:def_molefrac}
x^\kappa_\alpha = \frac{n^\kappa_\alpha}{\sum_i n^i_\alpha},
\end{equation}
where $n^\kappa_\alpha$ is the number of moles of component $\kappa$ in phase $\alpha$.
The mass fraction $X^\kappa_\alpha$ is defined similarly
using the mass of component $\kappa$ in phase $\alpha$ instead of $n^\kappa_\alpha$,
$X^\kappa_\alpha = \nicefrac{\mathrm{mass^\kappa_\alpha}}{\mathrm{mass^{total}_\alpha}}$.
% as:
%
% \begin{equation}\label{eq:def_massfrac}
% X^\kappa_\alpha = \frac{m^\kappa_\alpha}{\sum_i m^i_\alpha},
% \end{equation}
%
% where $m^\kappa_\alpha$ is the mass of component $\kappa$ in phase $\alpha$.
The molar mass $M^\kappa$ of the component $\kappa$ relates the mass fraction
to the mole fraction and vice versa.
\subsection[Fluid properties]{Fluid properties\footref{foot:hommel}}\label{sec:fluid_properties}
The most important fluid properties to describe fluid flow on the REV scale are density and viscosity.
\subsubsection{Density}\label{sec:density}
The density $\rho_\alpha$ of a fluid phase $\alpha$ is defined as the ratio of its mass to its volume
$(\rho_\alpha = \nicefrac{\mathrm{mass_\alpha}}{\mathrm{volume_\alpha}})$ while
the molar density $\rho_{\mathrm{mol},\alpha}$ is defined as the ratio of the number of moles per volume
$(\rho_{\mathrm{mol},\alpha} = \nicefrac{\mathrm{moles_\alpha}}{\mathrm{volume_\alpha}})$.
\subsubsection{Viscosity}\label{sec:viscosity}
The dynamic viscosity $\mu_\alpha$ characterizes the resistance of a fluid to flow.
As density, it is a fluid phase property.
For Newtonian fluids, it relates the shear stress $\tau_\mathrm{s}$ to the
velocity gradient $\nicefrac{d v_{\alpha,\,x}}{d y}$:
\begin{equation}\label{eq:def_viscosity}
\tau_\mathrm{s} = \mu_\alpha \frac{d v_{\alpha,\,x}}{d y}.
\end{equation}
Density and viscosity are both dependent on pressure, temperature and phase composition.
\subsection[Fluid phase interactions in porous media]{Fluid phase interactions in porous media\footref{foot:hommel}}\label{sec:fluid_interact}
If more than a single fluid is present in the porous medium, the fluids interact with each other and the solids, which leads to additional properties for multi-phase systems.
\subsubsection{Saturation}\label{sec:saturation}
The saturation $S_\alpha$ of a phase $\alpha$ is defined as the ratio of the volume occupied
by that phase to the total pore volume within an REV.
As all pores are filled with some fluid, the sum of the saturations of all present phases is equal to one.
\subsubsection{Capillary pressure}\label{sec:pc}
Immiscible fluids form a sharp interface as a result of differences in their intermolecular forces
translating into different adhesive and cohesive forces at the fluid-fluid and fluid-fluid-solid interfaces
creating interfacial tension on the microscale.
From the mechanical equilibrium which has also to be satisfied at the interface,
a difference between the pressures of the fluid phases results defined as
the capillary pressure $p_\mathrm{c}$:
\begin{equation}\label{eq:pc-pn_pw}
p_\mathrm{c} = p_\mathrm{n} - p_\mathrm{w}.
\end{equation}
On the microscale, $p_\mathrm{c}$ can be calculated from the surface tension
according to the Laplace equation \citep[see][]{helmig1997multiphase}.
On the REV scale, however, capillary pressure needs to be defined by quantities of that scale.
Several empirical relations provide expressions to link $p_\mathrm{c}$ to the wetting-phase saturation $S_\mathrm{w}$.
An example is the relation given by \citet{brooks1964hydrau} %, Corey1994}
to determine $p_\mathrm{c}$ based on
$S_\mathrm{e}$, which is the effective wetting-phase saturation,
the entry pressure $p_\mathrm{d}$, and the parameter $\lambda$ describing the pore-size distribution:
\begin{equation}\label{eq:pc-Sw}
p_\mathrm{c} = p_\mathrm{d} S_\mathrm{e}^{-\frac{1}{\lambda}},
\end{equation}
with
\begin{equation}\label{eq:Se}
S_\mathrm{e} = \frac{S_\mathrm{w}-S_\mathrm{w,r}}{1-S_\mathrm{w,r}},
\end{equation}
where $S_\mathrm{w,r}$ is the residual wetting phase saturation which cannot be displaced
by another fluid phase and remains in the porous medium.
\subsubsection{Relative permeability}\label{sec:kr}
The presence of two fluid phases in the porous medium reduces the space available for flow
for each of the fluid phases.
This increases the resistance to flow of the phases, which is accounted for by the means of
the relative permeability $k_\mathrm{r,\alpha}$, which scales the intrinsic permeability.
It is a value between zero and one, depending on the saturation.
The relations describing the relative permeabilities of the wetting and non-wetting phase are different
as the wetting phase predominantly occupies small pores and the edges of larger pores while the
non-wetting phases occupies large pores.
The relative permeabilities for the wetting phase $k_\mathrm{r,w}$ and the non-wetting phase are calculated as:
\begin{equation}\label{eq:krw}
k_\mathrm{r,w} = S_\mathrm{e}^{\frac{2+3\lambda}{\lambda}}
\end{equation}
and
\begin{equation}\label{eq:krn}
k_\mathrm{r,n} = \left( 1- S_\mathrm{e}\right)^2 \left( 1- S_\mathrm{e}^{\frac{2+\lambda}{\lambda}}\right).
\end{equation}
\subsection[Transport processes in porous media]{Transport processes in porous media \footref{foot:hommel}}\label{sec:tipm}
On the macro-scale, the transport of mass can be grouped according to the driving force of the
transport process. Pressure gradients result in the advective transport of a fluid phase
and all the components constituting the phase,
while concentration gradients result in the diffusion of a component within a phase.
\subsubsection{Advection}\label{sec:Advection}
Advective transport is determined by the flow field.
On the macro-scale, the velocity $\mathbf{v}$ is calculated using the Darcy equation
depending on the potential gradient $(\nabla p_\alpha - \rho_\alpha \mathbf{g})$,
accounting for both pressure difference and gravitation,
the intrinsic permeability of the porous medium,
and the viscosity $\mu$ of the fluid phase:
\begin{equation} \label{eq:Darcy1p}
\mathbf{v}=-\frac{\mathbf{K}}{\mu}(\nabla p - \rho \mathbf{g}).
\end{equation}
$\mathbf{v}$ is proportional to $(\nabla p - \rho \mathbf{g})$ with the proportional factor $\nicefrac{\mathbf{K}}{\mu}$.
This equation can be extended to calculate the velocity $\mathbf{v}_{\alpha}$ of phase $\alpha$ in the case of
two-phase flow by considering the relative permeability $k_\mathrm{r,\alpha}$ (Section~\ref{sec:kr}):
\begin{equation} \label{eq:Darcy2p}
\mathbf{v}_{\alpha}=-\frac{k_\mathrm{r,\alpha}\mathbf{K}}{\mu_{\alpha}}(\nabla p_{\alpha} - \rho_{\alpha} \mathbf{g})
\end{equation}
\subsubsection{Diffusion}\label{sec:Diffusion}
Molecular diffusion is a process determined by the concentration gradient.
It is commonly modeled as Fickian diffusion following Fick's first law:
\begin{equation} \label{eq:Diffusion}
\mathbf{j_d}=-\rho_{\mathrm{mol},\alpha} D^\kappa_\alpha \nabla x^\kappa_\alpha,
\end{equation}
where $D^\kappa_\alpha$ is the molecular diffusion coefficient of component $\kappa$ in phase $\alpha$.
In a porous medium, the actual path lines are tortuous due to the impact of the solid matrix.
This tortuosity and the impact of the presence of multiple fluid phases
is accounted for by using an effective diffusion coefficient $D^\kappa_\mathrm{pm, \alpha}$:
\begin{equation} \label{eq:diffusion_coeff_pm}
D^\kappa_\mathrm{pm, \alpha}= \phi \tau_\alpha S_\alpha D^\kappa_\alpha,
\end{equation}
where $\tau_\alpha$ is the tortuosity of phase $\alpha$.
\subsection{Gas mixing laws} \subsection{Gas mixing laws}
Prediction of the $p-\varrho-T$ behavior of gas mixtures is typically based on two (contradicting) concepts: Dalton's law or Amagat's law. Prediction of the $p-\varrho-T$ behavior of gas mixtures is typically based on two (contradicting) concepts: Dalton's law or Amagat's law.
......
\section{Temporal Discretization and Solution Strategies} \section{Temporal Discretization and Solution Strategies}
%TODO: Intro sentences In this section, the temporal discretization as well as solution strategies (monolithic/sequential) are presented.
\subsection{Temporal discretization} \subsection{Temporal discretization}
Our systems of partial differential equations are discretized in space and in time. Our systems of partial differential equations are discretized in space and in time.
......
...@@ -1854,3 +1854,31 @@ year={1999} ...@@ -1854,3 +1854,31 @@ year={1999}
year={1993}, year={1993},
publisher={John Wiley \& Sons} publisher={John Wiley \& Sons}
} }
@phdthesis{hommel2016modeling,
author = {Hommel, Johannes},
isbn = {978-3-942036-48-1},
month = {2},
school = {Universität Stuttgart, TASK},
title = {Modeling biogeochemical and mass transport processes in the subsurface: Investigation of microbially induced calcite precipitation},
type = {Promotionsschrift},
url = {https://elib.uni-stuttgart.de/handle/11682/8787},
volume = 244,
year = 2016
}
@book{helmig1997multiphase,
title={Multiphase flow and transport processes in the subsurface: a contribution to the modeling of hydrosystems.},
author={Helmig, Rainer and others},
year={1997},
publisher={Springer-Verlag}
}
@article{brooks1964hydrau,
title={HYDRAU uc properties of porous media},
author={Brooks, R and Corey, T},
journal={Hydrology Papers, Colorado State University},
volume={24},
pages={37},
year={1964}
}
0% Loading or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment