Data Assimilation in Geosciences is, for now, a simple 2D reservoir simulator and a straight-forward implementation of the basic Ensemble smoother with multiple data assimilation (ESMDA) algorithm as presented by Emerick and Reynolds, 2013. However, more DA methods and examples might be added in the future.
Documentation: https://tuda-geo.github.io/dageo
Source Code: https://github.com/tuda-geo/dageo
Bug reports: https://github.com/tuda-geo/dageo/issues
Available through pip and conda: pip install dageo / conda install -c conda-forge dageo.
(Note that until v1.0.2, dageo was called resmda.)
Metadata
Release files for dageo 1.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dageo-1.1.2.tar.gz | 19.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dageo-1.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 40.5 kB
Release files / dageo-1.1.2.tar.gz
| Download URL | dageo-1.1.2.tar.gz |
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| Size | 19.7 kB |
| Tags | Source |
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Release files / dageo-1.1.2-py3-none-any.whl
| Download URL | dageo-1.1.2-py3-none-any.whl |
|---|---|
| Size | 20.8 kB |
| Tags | Python 3 |
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