{"id":19835042,"url":"https://github.com/equinor/flownet","last_synced_at":"2025-06-21T16:38:23.419Z","repository":{"id":40362972,"uuid":"245193933","full_name":"equinor/flownet","owner":"equinor","description":"FlowNet - Data-Driven Reservoir Predictions","archived":false,"fork":false,"pushed_at":"2022-12-22T11:20:57.000Z","size":152005,"stargazers_count":63,"open_issues_count":87,"forks_count":29,"subscribers_count":5,"default_branch":"master","last_synced_at":"2024-10-31T09:09:19.391Z","etag":null,"topics":["data-assimilation","data-driven","petroleum-engineering","reduced-order-models","reservoir-simulation"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/equinor.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGELOG.md","contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":".github/CODEOWNERS","security":null,"support":null}},"created_at":"2020-03-05T15:06:10.000Z","updated_at":"2024-08-31T02:52:46.000Z","dependencies_parsed_at":"2023-01-30T07:31:26.255Z","dependency_job_id":null,"html_url":"https://github.com/equinor/flownet","commit_stats":null,"previous_names":[],"tags_count":9,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/equinor%2Fflownet","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/equinor%2Fflownet/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/equinor%2Fflownet/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/equinor%2Fflownet/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/equinor","download_url":"https://codeload.github.com/equinor/flownet/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":224270291,"owners_count":17283649,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data-assimilation","data-driven","petroleum-engineering","reduced-order-models","reservoir-simulation"],"created_at":"2024-11-12T12:06:18.503Z","updated_at":"2024-11-12T12:06:19.137Z","avatar_url":"https://github.com/equinor.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cp align=\"center\"\u003e\n  \u003cimg height=\"175\" src=\"https://raw.githubusercontent.com/equinor/flownet/master/docs/_static/flownet_logo.svg\"\u003e\n\u003c/p\u003e\n\n\u003ch2 align=\"center\"\u003eFlowNet: Data-Driven Reservoir Predictions\u003c/h2\u003e\n\n\u003cp align=\"center\"\u003e\n\u003ca href=\"https://badge.fury.io/py/flownet\"\u003e\u003cimg src=\"https://badge.fury.io/py/flownet.svg\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/equinor/flownet/actions?query=workflow%3ACI\"\u003e\u003cimg src=\"https://img.shields.io/github/workflow/status/equinor/flownet/CI\"\u003e\u003c/a\u003e\n\u003ca href=\"https://www.python.org/\"\u003e\u003cimg src=\"https://img.shields.io/badge/python-3.7%20|%203.8%20|%203.9-blue.svg\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/psf/black\"\u003e\u003cimg src=\"https://img.shields.io/badge/code%20style-black-000000.svg\"\u003e\u003c/a\u003e\n\u003ca href=\"https://lgtm.com/projects/g/equinor/flownet/alerts/\"\u003e\u003cimg alt=\"Total alerts\" src=\"https://img.shields.io/lgtm/alerts/g/equinor/flownet.svg?logo=lgtm\u0026logoWidth=18\"/\u003e\u003c/a\u003e\n\u003ca href=\"https://lgtm.com/projects/g/equinor/flownet/context:python\"\u003e\u003cimg src=\"https://img.shields.io/lgtm/grade/python/g/equinor/flownet.svg?logo=lgtm\u0026logoWidth=18\"\u003e\u003c/a\u003e\n\u003c/p\u003e\n\u003cbr/\u003e\n\n_FlowNet_ aims at solving the following problems:\n\n* Create data-driven reduced physics models - directly from the data\n* Train the model\n* Assure model predictiveness\n* Use the models to efficiently optimize and make decisions\n\n\u003cp align=\"center\"\u003e\n  \u003cimg height=\"150\" src=\"https://raw.githubusercontent.com/equinor/flownet/master/docs/_static/flownet_model.svg\"\u003e\n\u003c/p\u003e\n\nFor documentation, see [the GitHub pages](https://equinor.github.io/flownet/) for this repository.\n\n## Contributing\n\nPlease check out our [contribution guidelines](CONTRIBUTING.md) if you want to contribute to FlowNet.\n\n## Installation\n\n_FlowNet_ is a Python package. All required dependencies are automatically installed\ntogether with FlowNet, except for the [_OPM-Flow_](https://opm-project.org/?page_id=19)\nreservoir simulator binaries which you will need to install separately.\n\nIf your Flow installation is not located at `/usr/bin/flow` you should set an\nenvironment variable `FLOW_PATH` with path to your Flow executable prior to running\nFlowNet.\n\n### Install FlowNet\n\nThe easiest and recommended approach is to install FlowNet from PyPI by running\n```\npip install flownet\n```\n\nIf you want to install and try out the latest unreleased code you can do\n```bash\ngit clone git@github.com:equinor/flownet.git\ncd flownet\npip install -e .\n```\nOmit the `-e` flag if you want a standard installation.\n\n\u003e :warning: Do you want to run FlowNet through the LSF queue?\nTo be able to have the ERT process, that will be called by FlowNet,\nrun jobs via LSF correctly you will need to update your default shell's\nconfiguration file (`.cshrc` or `.bashrc`) to automatically source your\nvirtual environment.\n\n### Running FlowNet\n\nYou can run _FlowNet_ as a single command line:\n```\nflownet ahm ./some_config.yaml ./some_output_folder\n```\nRun `flownet --help` to see all possible command line argument options.\n\n### Running webviz to check results\n\nBefore running `webviz` for the first time on your machine, you will need to to create a localhost `https` certificate by doing:\n```bash\nwebviz certificate --auto-install --force\n```\n\n### License\n\nFlowNet is, with a few exceptions listed below, [GPLv3](./LICENSE).\n\n- The [Norne test data](./tests/data/norne.tar.gz) is available under the [Open Database License](http://opendatacommons.org/licenses/odbl/1.0/)\n- The [FlowNet logo](./docs/_static/flownet_logo.png) is [CC BY-NC-ND 4.0](https://creativecommons.org/licenses/by-nc-nd/4.0/)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fequinor%2Fflownet","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fequinor%2Fflownet","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fequinor%2Fflownet/lists"}