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
- License: Creative Commons BY-NC 4.0
- Code repository: ManyWells GitHub repository
- Paper: ManyWells paper (preprint)
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.
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.
Note that the paper is currently in review and that the reference below is to a preprint.
@article{Grimstad2025,
title = {{ManyWells: Simulation of Multiphase Flow in Thousands of Wells}},
author = {Grimstad, Bjarne and Lundby, Erlend and Andersson, Henrik},
journal = {SSRN Electronic Journal},
issn = {1556-5068},
doi = {10.2139/ssrn.5256125},
year = {2025},
pages = {1--47},
note = {Preprint}
}
Dataset contact
Queries about the dataset can be directed to Bjarne Grimstad (e-mail: [email protected]).