Chair of Drilling and Completion Engineering (590)
Organisational unit: Chair
301 - 310 out of 365Page size: 10
Research output
- Published
A Study of Ultrasonic Measurement Technique to Discriminate Fluids
Lutz, P., 2023Research output: Thesis › Master's Thesis
- 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
A Study of a concept geothermal ERD well for the South German Molasse Basin
Minihold, M., 2024Research output: Thesis › Master's Thesis
- Published
A Statistical Feature-Based Approach for Operations Recognition in Drilling Time Series
Esmael, B., Arnaout, A., Fruhwirth, R. & Thonhauser, G., 2012, In: International Journal of Computer Information Systems and Industrial Management Applications . 4, 6, p. 100-108Research output: Contribution to journal › Article › Research › peer-review
- Published
Assessment of Reliability of Cement Bond Evaluation with Some Interesting Field Case Studies
Ashena, R. & Thonhauser, G., Nov 2014.Research output: Contribution to conference › Paper
- Published
Assessment of an Innovative Compressor Design
Niederseer, C., 2014, 134 p.Research output: Thesis › Master's Thesis
- Published
Assessing the Feasibility and Effectiveness of Reverse Circulation in Drilling Operation
Stanic, T., 2023Research output: Thesis › Master's Thesis
- Published
Artificial Intelligence-based Approach for Predicting Mud Pump Failures
Feizi, F., 2023Research output: Thesis › Master's Thesis
- 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
- Published
A probabilistic approach to time and cost estimation for geothermal wells
Lentsch, D., 2013Research output: Thesis › Master's Thesis
