Datasets:

Arailym-tleubayeva
/

KazOilWellOps_Dataset

license: apache-2.0
task_categories:
  - tabular-regression
  - time-series-forecasting
language:
  - ru
tags:
  - oil-production
  - industrial-ai
  - predictive-modeling
  - kazakhstan
pretty_name: kaz-oilwell-operational-dataset
size_categories:
  - n<1K

Kazakhstan Oil Well Operational Dataset

Description

This dataset contains structured operational and production parameters of sucker rod pump (SRP) oil wells in Kazakhstan. It is intended for industrial AI research, oil production analysis, production forecasting, and predictive modeling of well performance under real field operating conditions. Location: North-West Konys oil field, Kyzylorda Region, Kazakhstan (≈150 km NW of Kyzylorda city).

Dataset Structure

The repository includes:

train.csv – training split
test.csv – testing split
dataset_cleaned.csv – cleaned full dataset
dataset_ml_ready_onehot.csv – one-hot encoded ML-ready dataset

Intended Use

Oil production forecasting
Regression modeling
Industrial AI research
Performance optimization of rod pump wells

License

Apache 2.0

Authors

Arailym Tleubayeva – PhD student at Astana IT University, Researcher at Viridi Navitas LLP, Kazakhstan

Citation

If you use this dataset in your research, please cite:

@dataset{tleubayeva2026kazoilwellops, author = {Arailym Tleubayeva}, title = {Kazakhstan Oil Well Operational Dataset (KazOilWellOps)}, year = {2026}, publisher = {Hugging Face}, url = {https://huggingface.co/datasets/Arailym-tleubayeva/kaz-oilwell-operational-dataset}, license = {Apache-2.0} }