iterative_ensemble_smoother is a Python package that implements the subspace iterative ensemble smoother as described in evensen2019. This algorithm is particularly effective for problems with a large number of parameters (e.g., millions) and a few realizations or samples (e.g., hundreds).
iterative_ensemble_smoother is on PyPi and can be installed using pip:
pip install iterative_ensemble_smoother
iterative_ensemble_smoother mainly implements SIES and ESMDA classes. Check out
the examples section to see how to use them.
To build iterative_ensemble_smoother from source:
git clone https://github.com/equinor/iterative_ensemble_smoother.git
cd iterative_ensemble_smoother
pip install .apt install pandoc # Pandoc is required to build the documentation.
pip install .[doc]
sphinx-build -c docs/source/ -b html docs/source/ docs/build/html/