ert - Ensemble based Reservoir Tool - is designed for running ensembles of dynamical models such as reservoir models, in order to do sensitivity analysis and data assimilation. ert supports data assimilation using the Ensemble Smoother (ES), Ensemble Smoother with Multiple Data Assimilation (ES-MDA) and Iterative Ensemble Smoother (IES).

$ pip install ert
$ ert --help

or, for the latest development version:

$ pip install git+https://github.com/equinor/ert.git@main
$ ert --help

For examples and help with configuration, see the ert Documentation.

The primary goal of the Everest tool is to find optimal well planning and production strategies by utilizing an ensemble of reservoir models (e.g., an ensemble of geologically-consistent models). This will enable robust decisions about drilling schedule and well placement, in order to achieve results of significant practical value.

    pip install . "[everest]"

To start developing the Python code, we suggest installing ert in editable mode into a virtual environment to isolate the install (substitute the appropriate way of sourcing venv for your shell):

# Create and enable a virtualenv
python3 -m venv my_virtualenv
source my_virtualenv/bin/activate

# Update build dependencies
pip install --upgrade pip

# Download and install ert
git clone https://github.com/equinor/ert
cd ert
pip install --editable ".[dev, everest]"

Additional development packages must be installed to run the test suite:

pip install -e ".[dev, everest]"
pytest tests/

There are many kinds of tests in the tests directory, while iterating on your code you can run a fast subset of the tests with

pytest -n logical tests/ert/unit_tests -m "not integration_tests"

Git LFS must be installed to get all the files. This is packaged as git-lfs on Ubuntu, Fedora or macOS Homebrew. For Equinor RGS node users, it is possible to use git from Red Hat Software Collections:

source /opt/rh/rh-git227/enable

If you have not used git-lfs before, you might have to make changes to your global Git config for git-lfs to work properly.

git lfs install

test-data/ert/block_storage is a submodule and must be checked out.

git submodule update --init --recursive

If you checked out submodules without having git lfs installed, you can force git lfs to run in all submodules with:

git submodule foreach "git lfs pull"

You can build the documentation after installation by running

pip install ".[dev]"
sphinx-build -n -v -E -W ./docs/ert ./tmp/ert_docs

and then open the generated ./tmp/ert_docs/index.html in a browser.

To automatically reload on changes you may use

sphinx-autobuild docs docs/_build/html

There are a set of style requirements, which are gathered in the pre-commit configuration, to have it automatically run on each commit do:

$ pip install pre-commit
$ pre-commit install

As a simple test of your ert installation, you may try to run one of the examples, for instance:

cd test-data/ert/poly_example
# for non-gui trial run
ert test_run poly.ert
# for gui trial run
ert gui poly.ert

The default maximum number of open files is normally relatively low on MacOS and some Linux distributions. This is likely to make tests crash with mysterious error-messages. You can inspect the current limits in your shell by issuing the command ulimit -a. In order to increase maximum number of open files, run ulimit -n 16384 (or some other large number) and put the command in your .profile to make it persist.

To test if ert itself is working, go to test-data/ert/poly_example and start ert by running poly.ert with ert gui

cd test-data/ert/poly_example
ert gui poly.ert

This opens up the ert graphical user interface. Finally, test ert by starting and successfully running the experiment.

To actually get ert to work at your site you need to configure details about your system; at the very least this means you must configure where your reservoir simulator is installed. In addition you might want to configure e.g. queue system in the site-config file, but that is not strictly necessary for a basic test.