Structured Noise Detection: An Application on Well Test Pressure Derivative Data

About

This repository contain the source code for reproducing the results from the paper "Structured Noise Detection: An Application on Well Test Pressure Derivative Data" published in SIGKDD 2019 in Applied Data Science track (see https://dl.acm.org/citation.cfm?id=3330661).

Please go through the user manual and developer's guide files in the Documentation folder for more information.

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Authors

Farhan Asif Chowdhury
Email: aumyfarhan@gmail.com

Reference

If you use or find this source code useful, please cite the following work:

Farhan Asif Chowdhury, Satomi Suzuki, Abdullah Mueen. Structured Noise Detection: Application on Well Test Pressure Derivative Data. KDD 2019.

BibTeX:

  @inproceedings{chowdhury2019structured,
    title={Structured Noise Detection: Application on Well Test Pressure Derivative Data},
    author={Chowdhury, Farhan Asif and Suzuki, Satomi and Mueen, Abdullah},
    booktitle={Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery \& Data Mining},
    pages={2952--2960},
    year={2019},
    organization={ACM}
  }

Acknowledgments

• This project has received funding from ExxonMobil Upsream Research Company.