Gerhard Thonhauser
1 - 10 out of 109Page size: 10
Research output
- 2024
- Published
Evaluating Multi-target Regression Framework for Dynamic Condition Prediction in Wellbore
Keshavarz, S., Elmgerbi, A., Vita, P. & Thonhauser, G., 23 Apr 2024, In: The Arabian journal for science and engineering.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
A Reinforcement Learning Approach for Real-Time Autonomous Decision-Making in Well Construction
Keshavarz, S., Vita, P., Rückert, E., Ortner, R. & Thonhauser, G., 19 Jan 2023, SPE AI Symposium 2023: Leveraging Artificial Intelligence to Shape the Future of the Energy Industry. (Society of Petroleum Engineers - SPE Symposium: Leveraging Artificial Intelligence to Shape the Future of the Energy Industry, AIS 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 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
- 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
- 2021
- Published
Implementing the autonomous adaptive algorithm to manage ESP operation in harsh reservoir conditions
Antonic, M., Solesa, M., Thonhauser, G., Aleksic, M. & Zolotukhin, A., 25 Nov 2021.Research output: Contribution to conference › Paper › peer-review
- Published
Experimental approach for assessing filter-cake removability derived from reservoir drill-in fluids
Elmgerbi, A., Thonhauser, G., Fine, A., Borovina, A. & Hincapie, R., 8 Sept 2021.Research output: Contribution to conference › Paper › peer-review
