Fahd Saghir

Fahd Saghir

Higher Degree by Research Candidate

Australian School of Petroleum & Energy Resources (Inact)

Faculty of Sciences, Engineering and Technology

  • Journals
    Year Citation
    2023 Saghir, F., Gonzalez Perdomo, M. E., & Behrenbruch, P. (2023). Performance analysis of artificial lift systems deployed in natural gas wells: A time-series analytics approach. Geoenergy Science and Engineering, 230, 212238.
    DOI
    2022 Saghir, F., Gonzalez Perdomo, M. E., & Behrenbruch, P. (2022). Application of streaming analytics for Artificial Lift systems: a human-in-the-loop approach for analysing clustered time-series data from progressive cavity pumps. Neural Computing and Applications, 35(2), 1247-1277.
    DOI Scopus1
    2020 Saghir, F., Gonzalez Perdomo, M. E., & Behrenbruch, P. (2020). Application of machine learning methods to assess progressive cavity pumps (PCPs) performance in coal seam gas (CSG) wells. APPEA Journal.
    2008 Al Braik, M., Nasr, H., & Saghir, F. (2008). New wireless sensor network monitors water-injection wells off Abu Dhabi. OIL & GAS JOURNAL, 106(44), 40-+.

  • Conference Papers
    Year Citation
    2023 Saghir, F., Qais, T., Malibari, M., & Alaas, Y. (2023). Enhancing Drilling Operations Through Edge Analytics: Evaluation of IIoT Architecture for Remote Rig Automation. In Society of Petroleum Engineers - SPE Symposium: Leveraging Artificial Intelligence to Shape the Future of the Energy Industry, AIS 2023. SPE.
    DOI
    2020 Saghir, F., Gilabert, H., & Mancuso, B. M. (2020). Application of augmented intelligence and edge analytics in upstream production operations: An innovative approach for optimizing artificial lift systems performance. In Proceedings - SPE Annual Technical Conference and Exhibition Vol. 2020-October.
    2020 Saghir, F., Gilabert, H., Boujonnier, M., Bissuel-Beauvais, L., & Boguslawski, B. (2020). Combining augmented intelligence and edge analytics for improved artificial lift systems performance. In Society of Petroleum Engineers - Abu Dhabi International Petroleum Exhibition and Conference 2020, ADIP 2020.
    2019 Saghir, F. A. H. D., Gonzalez Perdomo, M. E., & Behrenbruch, P. E. T. E. R. (2019). Converting Time Series Data into Images: An Innovative Approach to Detect Abnormal Behavior of Progressive Cavity Pumps Deployed in Coal Seam Gas Wells. In Proceedings - SPE Annual Technical Conference and Exhibition Vol. 2019-September (pp. 1-14). online: Society of Petroleum Engineers (SPE).
    DOI Scopus5
    2019 Saghir, F., Gonzalez Perdomo, M., & Behrenbruch, P. (2019). Machine Learning for Progressive Cavity Pump Performance Analysis: A Coal Seam Gas Case Study. In Proceedings of the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference (pp. 1-9). online: SPE.
    DOI Scopus3
    2019 Saghir, F., Gonzalez Perdomo, M. E., & Behrenbruch, P. (2019). Application of Exploratory Data Analytics EDA in Coal Seam Gas wells with Progressive Cavity Pumps PCPs. In Proceedings of the 2019 SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition (APOGCE) (pp. 1-10). Bali, Indonesia: Society of Petroleum Engineers.
    DOI Scopus5
    2019 Boguslawski, B., Boujonnier, M., Bissuel-Beauvais, L., & Saghir, F. (2019). Edge analytics at the wellhead: Designing robust machine learning models for artificial lift failure detection. In Society of Petroleum Engineers - Abu Dhabi International Petroleum Exhibition and Conference 2018, ADIPEC 2018.
    Scopus7
    2018 Saghir, F., Gilabert, H., & Boujonnier, M. (2018). Edge analytics and future of upstream automation. In Society of Petroleum Engineers - SPE Asia Pacific Oil and Gas Conference and Exhibition 2018, APOGCE 2018. SPE.
    DOI Scopus11
    2018 Boguslawski, B., Boujonnier, M., Bissuel-Beauvais, L., Saghir, F., & Sharma, R. D. (2018). IIoT edge analytics: Deploying machine learning at the wellhead to identify rod pump failure. In Society of Petroleum Engineers - SPE Middle East Artificial Lift Conference and Exhibition 2018, MEAL 2018. SPE.
    DOI Scopus10
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