Chair of Drilling and Completion Engineering (590)

Organisational unit: Chair

Research output

  1. 2022
  2. E-pub ahead of print

    Holistic autonomous model for early detection of downhole drilling problems in real-time

    Elmgerbi, A. & Thonhauser, G., 20 Jun 2022, (E-pub ahead of print) In: Process safety and environmental protection. 164.2022, August, p. 418-434 17 p.

    Research output: Contribution to journalArticleResearchpeer-review

  3. Published

    Machine Learning Techniques Application for Real-Time Drilling Hydraulic Optimization

    Elmgerbi, A., Thonhauser, G., Nascimento, A. & Chuykov, E., 21 Feb 2022.

    Research output: Contribution to conferencePaper

  4. Published

    DETECTING DOWNHOLE DRILLING EVENTS

    Elmgerbi, A. & Thonhauser, G., 3 Feb 2022, IPC No. E21B 47/ 06 A I, Patent No. WO2022022812, Priority date 28 Jul 2020, Priority No. WO2020EP71284

    Research output: Patent

  5. Published

    A Practical Decision Tool to Evaluate and Rank Potential Solutions for Expected Downhole Drilling Problems During the Well-planning Phase

    Elmgerbi, A., Rahman Ashena , Timothy Atkin & Borna Les, Feb 2022.

    Research output: Contribution to conferencePaperpeer-review

  6. Published
  7. Published
  8. Published
  9. Published
  10. Published
  11. Published
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