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https://github.com/GEOS-DEV/GEOS

GEOS Simulation Framework
https://github.com/GEOS-DEV/GEOS

carbon-storage geomechanics gpu hpc llnl reservoir-simulation

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GEOS Simulation Framework

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README

        

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Welcome to the GEOS project!
-----------------------------
GEOS is a simulation framework for modeling coupled flow, transport, and geomechanics
in the subsurface. The code provides advanced solvers for a number of target applications,
including
- carbon sequestration,
- geothermal energy,
- and similar systems.

A key focus of the project is achieving scalable performance on current and next-generation
high performance computing systems. We do this through a portable programming model and research into scalable algorithms.

You may want to browse our
[publications](https://geosx-geosx.readthedocs-hosted.com/en/latest/docs/sphinx/Publications.html)
page for more details on the HPC, numerics,
and applied engineering components of this effort.

Documentation
-------------

Please visit the [Main documentation for GEOS](https://geosx-geosx.readthedocs-hosted.com/en/latest/?).

If you would like to contribute to GEOS, please see the [developer guide](https://geosx-geosx.readthedocs-hosted.com/en/latest/docs/sphinx/developerGuide/Index.html)

If you would like to report a bug, please submit an [issue](https://github.com/GEOS-DEV/GEOS/issues/new/choose).

Who develops GEOS?
-------------------
GEOS is an open source project and is developed by a community of researchers at
several institutions. The bulk of the code has been written by contributors from
four main organizations:
- Lawrence Livermore National Laboratory,
- Stanford University,
- TotalEnergies,
- Chevron

See our
[authors](https://geosx-geosx.readthedocs-hosted.com/en/latest/docs/sphinx/Contributors.html)
and
[acknowledgements](https://geosx-geosx.readthedocs-hosted.com/en/latest/docs/sphinx/Acknowledgements.html)
page for more details.

How does GEOS relate to the earlier GEOS code?
------------------------------
GEOS is the offshoot of an earlier code developed at LLNL also called GEOS. The new
code differs from our previous efforts in two important ways:
- This new code GEOS uses a fundamentally different programming model to achieve
high performance on the complicated chip architectures common on today's
HPC systems. This code is ready for exascale-class systems as they are delivered.
- The new code has been released as an open-source effort to encourage collaboration
within the research and industrial community. See the release notes below
for details of the [LGPL 2.1 License](./LICENSE) that has been adopted.

Release
-------

For release details and restrictions, please read the [LICENSE](./LICENSE) file.

For copyrights, please read the [COPYRIGHT](./COPYRIGHT ) file.

For contributors, please read the [CONTRIBUTORS](./CONTRIBUTORS ) file.

For acknowledgements, please read the [ACKNOWLEDGEMENTS](./ACKNOWLEDGEMENTS ) file.

For notice, please read the [NOTICE](./NOTICE ) file.

`LLNL-CODE-812638` `OCEC-18-021`