6572aeed5e
This commit adds sequential solvers, including a simulator variant using them (flow_sequential.cpp) with an integration test (running SPE1, same as for fully implicit). The sequential code is capable of running several (but not all) test cases without tuning or special parameters, but reducing ds_max a bit (from default 0.2 to say 0.1) helps with transport solver convergence. The Norne model runs fine (esp. with a little tuning). A parameter iterate_to_fully_implicit (defaults to false) is available, when set the simulator will iterate with alternating pressure and transport solves towards the fully implicit solution. Although that takes a lot extra time it serves as a correctness check. Performance is not competitive with fully implicit at this point: essentially both the pressure and transport models inherit the fully implicit model and do a lot of double (or triple) work. The point has been to establish a proof of concept and baseline for further experiments, without disturbing the base model too much (or at all, if possible). Changes to existing code has been minimized by merging most such changes as smaller PRs already, the only remaining such change is to NewtonIterationBlackoilInterleaved. Admittedly, that code (to solve the pressure system with AMG) is not ideal because it duplicates similar code in CPRPreconditioner.hpp and is not parallel. I propose to address this later by refactoring the "solve elliptic system" code from CPRPreconditioner into a separate class that can be used also from here |
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debian | ||
doc/doxygen | ||
examples | ||
jenkins | ||
opm | ||
redhat | ||
tests | ||
travis | ||
.gitignore | ||
.travis.yml | ||
CMakeLists_files.cmake | ||
CMakeLists.txt | ||
configure | ||
CTestConfig.cmake | ||
dune.module | ||
README.md |
Open Porous Media Simulators and Automatic Differentiation Library
CONTENT
opm-simulators contains simulator programs for porous media flow. It also contains a small library for automatic differentiation built on the Eigen linear algebra package which is used by many of the simulators to handle the building of Jacobians. The most important parts are:
- flow.cpp (a fully implicit black-oil simulator)
- AutoDiffBlock.hpp (class for AD on vectorized data with sparse jacobians)
LICENSE
The library is distributed under the GNU General Public License, version 3 or later (GPLv3+).
PLATFORMS
The opm-simulators module is designed to run on Linux platforms. It is also regularly run on Mac OS X. No efforts have been made to ensure that the code will compile and run on windows platforms.
REQUIREMENTS
opm-simulators requires opm-output, opm-core, and all their requirements (see opm-core/README). In addition, opm-simulators requires the Dune modue dune-istl and Eigen, version 3.1 (has not been tested with later versions).
DOWNLOADING
For a read-only download: git clone git://github.com/OPM/opm-simulators.git
If you want to contribute, fork OPM/opm-simulators on github.
BUILDING
See build instructions at http://opm-project.org/?page_id=36
DOCUMENTATION
Efforts have been made to document the code with Doxygen. In order to build the documentation, enter the command
make doc
in the topmost directory. The class AutoDiffBlock is the most important and most well-documented.
REPORTING ISSUES
Issues can be reported in the Git issue tracker online at:
https://github.com/OPM/opm-simulators/issues
To help diagnose build errors, please provide a link to a build log together with the issue description.
You can capture such a log from the build using the `script' utility, e.g.:
LOGFILE=$(date +%Y%m%d-%H%M-)build.log ;
cmake -E cmake_echo_color --cyan --bold "Log file: $LOGFILE" ;
script -q $LOGFILE -c 'cmake ../opm-core -DCMAKE_BUILD_TYPE=Debug' &&
script -q $LOGFILE -a -c 'ionice nice make -j 4 -l 3' ||
cat CMakeCache.txt CMakeFiles/CMake*.log >> $LOGFILE
The resulting file can be uploaded to for instance gist.github.com.