Asad Elmgerbi
Research output
- Published
A Mathematical Approach Using Thermoporoelastic Model for Reamer While Drilling Efficiency Analysis and Closeness
Roohi, A., Nascimento, A., Elmgerbi, A., Prohaska-Marchried, M. & Thonhauser, G., 5 Jul 2016, In: Research Journal of Applied Sciences, Engineering and Technology. 13.2016, 1, p. 7-14 8 p.Research output: Contribution to journal › Article › Research › peer-review
- Published
An Investigation of Stuck Pipe Occurrences in Iran
Roohi, A., Thonhauser, G., Makvandi, M., Shahbazi, K., Ashena, R., Zamani, A. & Elmgerbi, A., Mar 2016, In: International Journal of Scientific and Engineering Research. 7.2016, 3, p. 1001-1006 6 p.Research output: Contribution to journal › Article › Research › peer-review
- Published
Application of Computer Programming to Estimate Volumetric Change of an Active Drilling Fluid System Cause by Elastic Deformation of an Open Borehole Section Wall: Application of Computer Programming to Estimate Volumetric Change of an Active Drilling Fluid System Cause by Elastic Deformation of an Open Borehole Section Wall
Elmgerbi, A., Thonhauser, G. (Co-editor), Prohaska-Marchried, M. (Co-editor), Roohi, A. (Co-editor) & Nascimento, A. (Co-editor), 1 Dec 2016.Research output: Contribution to conference › Paper › peer-review
- Published
Application of Machine Learning Techniques for Real-Time Rate of Penetration Optimization
Elmgerbi, A., Thonhauser, G. (Co-editor), Ettinger, C. (Co-editor), Tekum, P. (Co-editor) & Nascimento, A., 26 May 2021.Research output: Contribution to conference › Paper › peer-review
- 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
- Published
A Study of the Applicability of Bourgoyne & Young ROP Model and Fitting Reliability through Regression
Elmgerbi, A., Thonhauser, G., Prohaska-Marchried, M., Roohi, A., Kutas, D., Nascimento, A. & Hugo Mathias, M., 9 Dec 2015.Research output: Contribution to conference › Paper
- 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
Conception of a Web Operation System for Processing Petroleum Related Drilling Data: A Focus on Pre-Salt Real-Time Automation and Optimization
Elmgerbi, A., Thonhauser, G., Nascimento, A., Pinheiro, Y. S., Vieira, L. C., Souza dos Santos, F. D. A., Mathias, M. H. & Hunt, J., 10 Apr 2019.Research output: Contribution to conference › Paper › 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
- Published
DETECTING DOWNHOLE DRILLING EVENTS
Elmgerbi, A. (Inventor) & Thonhauser, G. (Inventor), 3 Feb 2022, IPC No. E21B 47/ 06 A I, Patent No. WO2022022812, Priority date 28 Jul 2020, Priority No. WO2020EP71284Research output: Patent