| | --- |
| | license: cc-by-nc-4.0 |
| | task_categories: |
| | - tabular-regression |
| | - tabular-classification |
| | language: |
| | - en |
| | tags: |
| | - simulation |
| | - multiphase |
| | - oil |
| | - gas |
| | - water |
| | - well |
| | pretty_name: ManyWells simulated multiphase flow data |
| | size_categories: |
| | - 1M<n<10M |
| | configs: |
| | - config_name: manywells-sol-1 |
| | data_files: "data/manywells-sol-1.zip" |
| | - config_name: manywells-sol-1-config |
| | data_files: "data/manywells-sol-1_config.zip" |
| | - config_name: manywells-nsol-1 |
| | data_files: "data/manywells-nsol-1.zip" |
| | - config_name: manywells-nsol-1-config |
| | data_files: "data/manywells-nsol-1_config.zip" |
| | - config_name: manywells-nscl-1 |
| | data_files: "data/manywells-nscl-1.zip" |
| | - config_name: manywells-nscl-1-config |
| | data_files: "data/manywells-nscl-1_config.zip" |
| | --- |
| | # ManyWells: simulation of multiphase flow in thousands of wells |
| |
|
| | The ManyWells datasets contain simulations of multiphase (gas, oil, water) flow in thousands of wells. The datasets were created and shared by Solution Seeker AS to support research on data-driven methodologies and industrial applications of machine learning and AI. |
| |
|
| | ## Details |
| | - **Curated and shared by:** [Solution Seeker AS](https://www.solutionseeker.no) |
| | - **License:** Creative Commons BY-NC 4.0 |
| | - **Code repository:** [ManyWells GitHub repository](https://github.com/solution-seeker-as/manywells) |
| | - **Paper:** [ManyWells paper (preprint)](https://ssrn.com/abstract=5256125) |
| |
|
| | ## Description of datasets |
| |
|
| | There are currently three datasets for three different operating conditions: |
| | - **manywells-sol-1**: simulations with stationary boundary conditions and open-loop control (no feedback) |
| | - **manywells-nsol-1**: simulations with non-stationary boundary conditions and open-loop control (no feedback) |
| | - **manywells-nscl-1**: simulations with non-stationary boundary conditions and closed-loop control (with feedback) |
| |
|
| | Each dataset has one million data points from 2000 vertical wells (500 data points per well). |
| | Each data point corresponds to one simulation performed by the simulator code in the [ManyWells GitHub repository](https://github.com/solution-seeker-as/manywells). |
| |
|
| | The datasets include a feature called "ID", which uniquely identifies a wells. |
| | Please note that ID are unique only within each dataset, meaning that well 1 in dataset A is different from well 1 in dataset B. |
| |
|
| | The parameters used in the simulation can be found in the config files, named [dataset-name]_config.zip. |
| | The configuration is stored as a dictionary with the keys being the well IDs. |
| | |
| | ### Dataset features |
| | |
| | |
| | | Feature | Description | Unit | |
| | |:--------|:------------------------------------------------------------------|------:| |
| | | ID | Unique well ID | - | |
| | | CHK | Choke position in \[0, 1\] | - | |
| | | PBH | Pressure bottomhole | bar | |
| | | PWH | Pressure wellhead | bar | |
| | | PDC | Pressure downstream choke | bar | |
| | | TBH | Temperature bottomhole | K | |
| | | TWH | Temperature wellhead | K | |
| | | WGL | Mass flow rate, lift gas | kg/s | |
| | | WGAS | Mass flow rate, gas excl. lift gas | kg/s | |
| | | WLIQ | Mass flow rate, liquid | kg/s | |
| | | WOIL | Mass flow rate, oil | kg/s | |
| | | WWAT | Mass flow rate, water | kg/s | |
| | | WTOT | Mass flow rate, total incl. lift gas | kg/s | |
| | | QGL | Volumetric flow rate at standard conditions, lift gas | Sm³/h | |
| | | QGAS | Volumetric flow rate at standard conditions, gas excl. lift gas | Sm³/h | |
| | | QLIQ | Volumetric flow rate at standard conditions, liquid | Sm³/h | |
| | | QOIL | Volumetric flow rate at standard conditions, oil | Sm³/h | |
| | | QWAT | Volumetric flow rate at standard conditions, water | Sm³/h | |
| | | QTOT | Volumetric flow rate at standard conditions, total incl. lift gas | Sm³/h | |
| | | FGAS | Inflow gas mass fraction | - | |
| | | FOIL | Inflow oil mass fraction | - | |
| | | FWAT | Inflow water mass fraction | - | |
| | | WEEKS | Weeks since first data point | 7d | |
| | | CHOKED | Boolean indicating if flow is choked | - | |
| | | FRBH | Flow regime at bottomhole (represented by string) | - | |
| | | FRWH | Flow regime at wellhead (represented by string) | - | |
| | |
| | The following relations apply: |
| | - WLIQ = WOIL + WWAT |
| | - WTOT = WLIQ + WGAS + WGL |
| | - QLIQ = QOIL + QWAT |
| | - QTOT = QLIQ + QGAS + QGL |
| | |
| | The flow regime features, FRBH and FRWH, may take on one of the following string values: |
| | 'bubbly', 'slug-churn', 'annular'. |
| | |
| | The WEEKS feature is only present in non-stationary datasets (manywells-nsol-1 and manywells-nscl-1). |
| | |
| | ### Personal and sensitive information |
| | |
| | The datasets do not contain any personal, sensitive, or private data. |
| | |
| | ## How to use the data? |
| | |
| | The following snippet shows how to use the HuggingFace datasets package to download the dataset in Python. |
| | |
| | ``` |
| | import datasets |
| | |
| | # Download 'manywells-sol-1' |
| | data = datasets.load_dataset("solution-seeker-as/manywells", name='manywells-sol-1') |
| |
|
| | # Cast dataset to a Pandas DataFrame |
| | df = data['train'].to_pandas() |
| | |
| | # Print the data |
| | print(df) |
| | ``` |
| | |
| | ## Citation |
| | |
| | We kindly ask that you cite our paper if you use the ManyWells datasets or code in an academic work. You can cite it as shown in the BibTex entry below. |
| | |
| | ``` |
| | @article{Grimstad2026, |
| | title = {{ManyWells: Simulation of multiphase flow in thousands of wells}}, |
| | author = {Bjarne Grimstad and Erlend Lundby and Henrik Andersson}, |
| | journal = {Geoenergy Science and Engineering}, |
| | volume = {257}, |
| | pages = {214226}, |
| | year = {2026}, |
| | issn = {2949-8910}, |
| | doi = {https://doi.org/10.1016/j.geoen.2025.214226}, |
| | } |
| | ``` |
| | |
| | |
| | ## Dataset contact |
| | |
| | Queries about the dataset can be directed to Bjarne Grimstad (e-mail: bjarne.grimstad@solutionseeker.no). |
