Asad Elmgerbi
Research output
- 2024
- E-pub ahead of print
Evaluating Multi-target Regression Framework for Dynamic Condition Prediction in Wellbore
Keshavarz, S., Elmgerbi, A., Vita, P. & Thonhauser, G., 23 Apr 2024, (E-pub ahead of print) In: The Arabian journal for science and engineering. 49.2024, June, p. 8953-8982 30 p.Research output: Contribution to journal › Article › Research › peer-review
- Published
Deep reinforcement learning algorithm for wellbore cleaning across drilling operation
Keshavarz, S., Elmgerbi, A. & Thonhauser, G., 25 Mar 2024, Fourth EAGE Digitalization Conference & Exhibition, Mar 2024, Volume 2024, p.1 - 5. Vol. 2024.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 2023
- Published
Cellulose nanocrystals (CNCs) as a potential additive for improving API class G cement performance: An experimental study
Elmgerbi, A., Abou Askar, I., Fine, A., Thonhauser, G. & Ashena, R., Jun 2023, In: Natural Gas Industry. B. 10.2023, 3, p. 233-244 12 p.Research output: Contribution to journal › Article › Research › peer-review
- Published
Mitigation of Non-productive Time Events by Continuously Monitoring the Drilling Parameters
Elmgerbi, A., 2023Research output: Thesis › Doctoral Thesis
- 2022
- E-pub ahead of print
Ultrasound velocity profiling technique for in-line rheological measurements: A prospective review
Krishna, S., Thonhauser, G., Kumar, S., Elmgerbi, A. & Ravi, K., 2 Nov 2022, (E-pub ahead of print) In: Measurement. 205.2022, December, 19 p., 112152.Research output: Contribution to journal › Article › Research › peer-review
- Published
Stepwise mathematical derivation of the Herschel–Bulkley laminar fluid flow equations—in pipes
Ashena, R., Elmgerbi, A., Badrouchi, F., Mishani, S., Sotoudeh, F. & Nekoeian, S., 26 Aug 2022.Research output: Contribution to conference › Paper › peer-review
- 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 journal › Article › Research › peer-review
- 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 conference › Paper
- 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. WO2020EP71284Research output: Patent
- 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 conference › Paper › peer-review