Skip to main content

Ensemble based Reservoir Tool (ERT)

Project description

ert

Build Status PyPI - Python Version Downloads GitHub commit activity GitHub contributors Code Style Type checking Run test-data Run polynomial demo Run SPE1 demo License: GPL v3 Code style: black

ERT - Ensemble based Reservoir Tool - is a tool to run ensemble based on reservoir models. ERT was originally devised as tool to do model updating (history matching) with the EnKF method, now the primary method for model updating is the Ensemble Smoother (ES).

Prerequisites

The following is needed to run ert properly

  • libblas
  • lapack

MacOS already ships with BLAS and LAPACK implementations in its vecLib framework.

Installation

$ pip install ert
$ ert --help

or, for the latest development version:

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

The ert program is based on three different repositories:

  1. ecl which contains utilities to read and write Eclipse files.

  2. libres utilities to manage reservoir data, and algorithms do actually do model updating.

  3. ert - this repository - the actual application and all of the GUI.

ERT is now Python 3 only. The last Python 2 compatible release is 2.14

Documentation

Documentation for ert is located at https://ert.readthedocs.io/en/latest/.

Developing

ERT is Python and C software. To start developing, install it in editable mode:

$ git clone https://github.com/equinor/ert
$ cd ert
$ pip install -e .

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

$ pip install -r dev-requirements.txt
$ pytest tests/

For Mac-users The default maximum number of open files is normally relatively low on MacOS. This is likely to make tests crash with mysterious error-messages. You can inspect the current limits in your shell by issuing he 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.

ERT is meant to be installed using setup.py, directly or using pip install ./. The CMakeLists.txt in libres exists, but is used by setup.py to generate the ERT C library (the C library formerly known as libres) and by Github Actions to run C tests.

ERT requires a recent version of pip - hence you are advised to upgrade your pip installation with

$ pip install --upgrade pip

If your pip version is too old the installation of ERT will fail, and the error messages will be incomprehensible.

Testing C code

Install ecl using CMake as a C library. Then:

$ mkdir build
$ cd build
$ cmake ../libres -DBUILD_TESTS=ON
$ cmake --build .
$ ctest --output-on-failure

Building

Use the following commands to start developing from a clean virtualenv

$ pip install -r requirements.txt
$ python setup.py develop

Alternatively, pip install -e . will also setup ERT for development, but it will be more difficult to recompile the C library.

scikit-build is used for compiling the C library. It creates a directory named _skbuild which is reused upon future invocations of either python setup.py develop, or python setup.py build_ext. The latter only rebuilds the C library. In some cases this directory must be removed in order for compilation to succeed.

The C library files get installed into res/.libs, which is where the res module will look for them.

Example usage

Basic ert test

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

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

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

ert with a reservoir simulator

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. This is described in the Post installation section of the libres README. 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.

In the location test-data/local/example_case is a small ert case which can be used to verify that your installation is basically sound. The example config file looks like this:

-- This ert configuration file is an example which can be used to check that your
-- local ert installation is basically sane. This example is not meant to be used
-- as an automatically run integration test, rather it is meant to be tested
-- interactively. In addition to the compiled application this will also verify that
-- the various configuration files are reasonably correctly stitched together.
--
-- To actually test this invoke the ert binary you have installed and give the path to
-- this file as argument:
--
--    /path/to/installed/ert/bin/ert example.ert
-- 
-- The example is based on the ECLIPSE100 forward model, that implies that you must
-- configure the local eclipse related details corresponding to your site[1].
-- 
-- NB: the current case has *not* been carefully constructed to demonstrate the
-- capabilities of ert; from a model updating perspective the current case is
-- totally uninteresting.
-- 
-- [1]: This amounts to editing the file ecl_config.yml in the res.fm.ecl python
-- package from the libres installation. See the documentation in the
-- ecl_config.yml example file supplied with the libres distribution, or
-- alternatively the "Post install configuration" section in the libres README. 

NUM_REALIZATIONS 20

QUEUE_SYSTEM LOCAL
QUEUE_OPTION LOCAL MAX_RUNNING 4

RUNPATH      output/simulations/runpath/realisation-%d/iter-%d
ENSPATH      output/storage

ECLBASE   EXAMPLE%d
DATA_FILE eclipse/model/SPE1.DATA
REFCASE   eclipse/refcase/REFCASE

GEN_KW MULT_PORO templates/poro.tmpl   poro.grdecl  parameters/poro.txt

-- This job will copy the file eclipse/input/schedule to the runpath folder. 
SIMULATION_JOB COPY_FILE eclipse/input/schedule  


-- This forward model job requires that you have eclipse version 2016.02
-- installed locally, feel free to modify this to use a different version if
-- that is what you have installed.
SIMULATION_JOB ECLIPSE100 2016.2 <ECLBASE>

OBS_CONFIG observations/observations.txt


-- This tells ert that you want to load all summary vectors starting with 'W'. 
-- 'F' and 'BPR'. To be able to use the wildcard notation this way you need to 
-- specify a REFCASE.

SUMMARY W*
SUMMARY F*
SUMMARY BPR*

NB: Depending on which reservoir simulator versions you have installed locally you might have to change the eclipse version number 2016.2 to something else.

To actually test this go to the test-data/local/example_case directory and start ert by giving the full path to the installed binary:

   cd test-data/local/example_case
   /local/ert/install/bin/ert example.ert

Then the ert gui should come up and you can press the Run simulations button. In addition to the gui there is a simple text interface which can be invoked with the --text option.

Configuration

The site_config file

As part of the installation process ERT will install a file called site-config in share/ert/site-config; when ert starts this file will be loaded before the users personal config file. For more extensive use of ert it might be beneficial to customize the site-config file to your personal site.

To customize, you need to set the environment variable ERT_SITE_CONFIG to point to an alternative file that will be used.

6.2 Forward models

ERT contains basic functionality for forward models to run the reservoir simulators Eclipse/flow and the geomodelling program RMS. Exactly how these programs depend on the setup on your site and you must make some modifications to two files installed with ERT:

6.2.1. Eclipse/flow configuration

In the Python distribution installed by ERT there is a file res/fm/ecl/ecl_config.yml which is used to configure the eclipse/flow versions are available at the location. You can provide an alternative configuration file by setting the environment variable ECL_SITE_CONFIG.

6.2.2. RMS configuration

In the Python distribution installed by ERT there is a file: res/fm/rms/rms_config.yml which contains some site specific RMS configuration. You should provide an alternative file with your local path to the rms wrapper script supplied by Roxar by setting the environment variable RMS_SITE_CONFIG to point to the alternative file.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

ert-2.29.0rc1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.8 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

ert-2.29.0rc1-cp39-cp39-macosx_10_15_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.9 macOS 10.15+ x86-64

ert-2.29.0rc1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.8 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

ert-2.29.0rc1-cp38-cp38-macosx_10_15_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.8 macOS 10.15+ x86-64

ert-2.29.0rc1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.8 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

ert-2.29.0rc1-cp37-cp37m-macosx_10_15_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.7m macOS 10.15+ x86-64

ert-2.29.0rc1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.8 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ x86-64

ert-2.29.0rc1-cp36-cp36m-macosx_10_15_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.6m macOS 10.15+ x86-64

File details

Details for the file ert-2.29.0rc1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ert-2.29.0rc1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9fa2987fb021b78d575bbde216badc18090d23bbbf8e1c7ebd8acc99df4bea9b
MD5 8d30527f6f1c5a5cd726c9c63f7ef5b0
BLAKE2b-256 34d5832586b4462a7b65fffc8bac9adbdc77cfbaf0ac40c462e8d594556b534b

See more details on using hashes here.

File details

Details for the file ert-2.29.0rc1-cp39-cp39-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: ert-2.29.0rc1-cp39-cp39-macosx_10_15_x86_64.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: CPython 3.9, macOS 10.15+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.12

File hashes

Hashes for ert-2.29.0rc1-cp39-cp39-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 2364cb299cc8388aea578977daac8741d297abf389f3800d3147293739329fd7
MD5 459cb789e550fb79af744679f5885b81
BLAKE2b-256 f5d95255a7ee473522c715fa7930368c1ae673bbe4ea85b6558b91fb6844bdbc

See more details on using hashes here.

File details

Details for the file ert-2.29.0rc1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ert-2.29.0rc1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 881bdd0eb9dc169031bf239b21089cf93cf71a51eccf51946932da9da3b8413f
MD5 c184dc4c5e8913e21ee383d2212520bb
BLAKE2b-256 054486e0c430402939a718bc1374e1990a0d0cf3af01e3959a7438366763ab71

See more details on using hashes here.

File details

Details for the file ert-2.29.0rc1-cp38-cp38-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: ert-2.29.0rc1-cp38-cp38-macosx_10_15_x86_64.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: CPython 3.8, macOS 10.15+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.12

File hashes

Hashes for ert-2.29.0rc1-cp38-cp38-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 324f8a7f21be917cc10cd824587040b4b0b9b4517a28cce57df7361633f3b090
MD5 3a57623b4c42791d5b4ba5855f48a791
BLAKE2b-256 341f57f9e809c5941ba482813fb3b3839d4d9180fd09a35f51615572813eff15

See more details on using hashes here.

File details

Details for the file ert-2.29.0rc1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ert-2.29.0rc1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5d144066f4535b406c3013c4ed99aa460d04b5ac78738aac38f7feffce979b6d
MD5 0e0ba5b2e465e0a929f98bd25a507455
BLAKE2b-256 864f3ab1012c6a00e62dc0f0ad36a577f61865a793e97f67b127e97ec44affa1

See more details on using hashes here.

File details

Details for the file ert-2.29.0rc1-cp37-cp37m-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: ert-2.29.0rc1-cp37-cp37m-macosx_10_15_x86_64.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: CPython 3.7m, macOS 10.15+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.12

File hashes

Hashes for ert-2.29.0rc1-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 0f7c765d18bf9fe5a01cebd1de4bbbdb1960c1a369a240d3914d81bdedf1c88b
MD5 c37b13aed7b45bbf7d64d4b89aa50872
BLAKE2b-256 1f0c9afcde4024e207b984f109b9b0296f77275935c75216be6afc767ec16d6e

See more details on using hashes here.

File details

Details for the file ert-2.29.0rc1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ert-2.29.0rc1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b8b84cff7a441f54251a0afa570ef7bddae551548b4ef6b6f0d7de5c597346ed
MD5 cd3ee018959a9aae10eb5c7dc1d2f8a6
BLAKE2b-256 17fad34638f5b93182f2e49c0091e31bc212dc753231531112dfe3e4e5e2f39a

See more details on using hashes here.

File details

Details for the file ert-2.29.0rc1-cp36-cp36m-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: ert-2.29.0rc1-cp36-cp36m-macosx_10_15_x86_64.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: CPython 3.6m, macOS 10.15+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.12

File hashes

Hashes for ert-2.29.0rc1-cp36-cp36m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 26cc658b5a4c224f1fe8de6f7718e1382cdc22979f707d5c2d6ff87e47022954
MD5 cc6937ad09f3a6162996029d791f323b
BLAKE2b-256 2ccbdddab35b182ecc799d8679a68734a92521120fc83058ef8477b3cdad60f7

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page