Gerhard Thonhauser

1 - 20 out of 111Page size: 20

Research output

  1. 2025
  2. Published

    Detecting downhole drilling events EP 4 189 206 B1

    Elmgerbi, A. (Inventor) & Thonhauser, G. (Inventor), 2025, Patent No. EP 4 189 206 B1

    Research output: Patent

  3. 2024
  4. Published

    Smart predictions of petrophysical formation pore pressure via robust data-driven intelligent models

    Krishna, S., Irfan, S. A., Keshavarz, S., Thonhauser, G. & Umer Ilyas, S., 24 Jul 2024, In: Multiscale and multidisciplinary modeling, experiments and design. 7.2024, 6, p. 5611-5630 20 p.

    Research output: Contribution to journal › Article › Research › peer-review

  5. 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

  6. 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

  7. 2023
  8. 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

  9. 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

  10. 2022
  11. 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

  12. 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

  13. 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

  14. 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. WO2020EP71284

    Research output: Patent

  15. 2021
  16. 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

  17. 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

  18. Published

    Evaluation of Cement-Casing & Cement-Rock Bond Integrity during Well Operations.

    Lamik, A., Thonhauser, G., Ravi, K., Prohaska-Marchried, M., Pittino, G. & Antretter, T., 27 May 2021, p. 1-13. 13 p.

    Research output: Contribution to conference › Paper › peer-review

  19. 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

  20. 2019
  21. 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

  22. Published

    The complexity of drilling digitalization, a display of potential pitfalls during implementation

    Lettner, A. & Thonhauser, G., Apr 2019.

    Research output: Contribution to conference › Paper

  23. Published

    Innovatives Trainingskonzept mittels Echtzeit-simulation des Bohrprozesses

    Lettner, A., Thonhauser, G. & Kucs, R., Feb 2019, In: Erdöl, Erdgas, Kohle. 135.2019, 2, p. 76-81 6 p.

    Research output: Contribution to journal › Conference article

  24. 2018
  25. Published

    Optimization of core retrieval using a Thermo-Poro-Elastic (T-P-E) approach

    Ashena, R., Thonhauser, G., Vortisch, W., Rasouli, V. & Azizmohammadi, S., Aug 2018, In: Journal of Petroleum Science and Engineering. 167.2018, August, p. 577-607 31 p.

    Research output: Contribution to journal › Article › Research › peer-review

  26. 2017
  27. Published

    A Thermoporoelastic (T-P-E) Model Developed for Core Tripping Failure Analysis

    Ashena, R., Thonhauser, G., Ott, H., Rasouli, V., Azizmohammadi, S. & Prohaska-Marchried, M., 27 Aug 2017.

    Research output: Contribution to conference › Presentation › Research › peer-review

  28. 2016
  29. 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

Previous 1 2 3 4 5 6 Next
View graph of relations

Contact

Phone: 3050

Latest Research Output

View more (111)