Previously, we used the setStatus method to set wells that do not
exist on the local grid to SHUT. Or at least this is what I thought
that ```well.setStatus(timestep, SHUT)```. Unfortunately, my
assumption was wrong. This was revealed while testing a parallel run
with SPE9 that threw an expeption about "Elements must be added in
weakly increasing order" in Opm::DynamicState::add(int, T). Seems like
the method name is a bit misleading.
As it turns out the WellManager has its own complete list of active
wells (shut wells are simply left out). Therefore we can use this
behaviour to our advantage: With this commit we not only exclude shut
wells from the list, but also the ones that do not exist on the local
grid. We even get rid of an ugly const_cast.
Currently, I have running a parallel SPE9 test that has not yet
aborted.
In this case the parallel index set might represent N entries (this might be the number of
cells of grid). Nevertheless, there several (n) equations/unknowns attached to each index.
In this case we construct a larger index set representing N*n unknows, where each unknown
is attached to an index.
This change only affects parallel runs.
In a parallel run each process only knows a part of the grid. Nevertheless
it does hold the complete well information. To resolve this the WellsManager
must be able to handle this case.
With this commit its constructor gets a flag indicating whether this is
a parallel run. If it is, then it does not throw if a well has cells that
are not present on the local part of the grid. Nevertheless it will check
that either all or none of the cells of a well are stored in the local part
of the grid.
Wells with no perforated cells on the local will still be present but set to SHUT.
This commit adds a verbose flag to the constructor of
SimulatorReport to allow for deactivating any
output to std:cout. This is handy for parallel runs where we only
want to print statistics on one process.
It does not make sense to report transport and pressure separately
for fully implicit solvers. It still makes sense to separate solver
from init and output though.
This commit updates the source code comment about using operator[] to
initialize the unordered map. Thanks to Bard's persistence we found
out that the cause is not the construction of the key value of type
std::string from const char* but the mapped type being a (mutable)
char* (due to C?).
This completes the PR #784.
g++-4.4 has problems converting const char* to char*
which it thinks is needed for constructing std::string.
Using operator[] circumvents this problem.
The compiler error fixed here was:
/usr/include/c++/4.4/bits/stl_pair.h: In constructor ‘std::pair<_T1, _T2>::pair(std::pair<_U1, _U2>&&) [with _U1 = const char*, _U2 = const char*, _T1 = const std::basic_string<char, std::char_traits<char>, std::allocator<char> >, _T2 = char*]’:
/home/mblatt/src/dune/opm/opm-core/opm/core/linalg/LinearSolverPetsc.cpp:40: instantiated from here
/usr/include/c++/4.4/bits/stl_pair.h:107: error: invalid conversion from ‘const char*’ to ‘char*’
make[2]: *** [CMakeFiles/opmcore.dir/opm/core/linalg/LinearSolverPetsc.cpp.o] Fehler 1
Currently the keyword EQUIL is not supported by the fully
implicit blackoil simulator when using CpGrid. This
commit is a first step towards this as it makes the
implementation of initStateEquil generic.
Well, you never know. There are containers that use a signed integer
for storing its size. This results in a warning about comparing signed with
unsigned integers. This commit prevents this by explicitly casting the size
to std::size_t.
Due to the size of the overlap layer and the discretization scheme
the rhs might not contain correct values for overlap cells. This
commit makes sure they are correct by an additional communication step.
One would think that such an assumption is safe in any case,
wouldn't one? But foen Eigen'S container this does not hold.
They do not provide STL compliant iterators, and access to them.
With this patch make the even stricter assumption that the containers
are random access and use operator[] instead of iterators.
As there are no functors for computing the minimum and maximum,
we convert the std::max and std::min function pointers to
functors (which is not really nice.) Previously we were somehow
tricked into using std::greater and std::less, which of course do
return true or false and not what we need. Additionally, do more
excessive testing with different ranges.