Publikationen

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2024
Veröffentlicht
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.
Publikationen: Beitrag in Fachzeitschrift › Artikel › Forschung › (peer-reviewed)
Veröffentlicht
Deep reinforcement learning algorithm for wellbore cleaning across drilling operation
Keshavarz, S., Elmgerbi, A. & Thonhauser, G., 25 März 2024, Fourth EAGE Digitalization Conference & Exhibition, Mar 2024, Volume 2024, p.1 - 5. Band 2024.
Publikationen: Beitrag in Buch/Bericht/Konferenzband › Beitrag in Konferenzband
2023
Veröffentlicht
A fundamentals mineralogical investigation of downhole cements within the context of Underground Hydrogen Storage
Sammer, T., Ravi, K. & Raith, J., 11 Juli 2023.
Publikationen: Konferenzbeitrag › Poster › Forschung
Veröffentlicht
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., Juni 2023, in: Natural Gas Industry. B. 10.2023, 3, S. 233-244 12 S.
Publikationen: Beitrag in Fachzeitschrift › Artikel › Forschung › (peer-reviewed)
Veröffentlicht
Application of machine learning to determine the shear stress and filtration loss properties of nano-based drilling fluid
Cai Ning, Y., Ridha, S., Umer Ilyas, S., Krishna, S., Dzulkarnain, I. & Abdurraham, M., Apr. 2023, in: Journal of Petroleum Exploration and Production Technology. 13.2023, April, S. 1031-1052 22 S.
Publikationen: Beitrag in Fachzeitschrift › Artikel › Forschung › (peer-reviewed)
Veröffentlicht
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).
Publikationen: Beitrag in Buch/Bericht/Konferenzband › Beitrag in Konferenzband
Veröffentlicht
Mitigation of Non-productive Time Events by Continuously Monitoring the Drilling Parameters
Elmgerbi, A., 2023
Publikationen: Thesis / Studienabschlussarbeiten und Habilitationsschriften › Dissertation
2022
Veröffentlicht
Performance investigation of a drag-based hydrokinetic turbine considering the effect of deflector, flow velocity, and blade shape
Maldar, N. R., Yee, N. C., Oguz, E. & Krishna, S., 15 Dez. 2022, in: Ocean Engineering. 2022, Vol.266, Part2 15 December, 22 S., 112765.
Publikationen: Beitrag in Fachzeitschrift › Artikel › Forschung › (peer-reviewed)
Elektronische Veröffentlichung vor Drucklegung.
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, (Elektronische Veröffentlichung vor Drucklegung.) in: Measurement. 205.2022, December, 19 S., 112152.
Publikationen: Beitrag in Fachzeitschrift › Artikel › Forschung › (peer-reviewed)
Veröffentlicht
Synthesis and application of cellulose acetate-acrylic acid-acrylamide composite for removal of toxic methylene blue dye from aqueous solution
Rana, J., Goindi, G., Kaur, N., Krishna, S. & Kakati, A., 15 Sept. 2022, in: Journal of Water Process Engineering. 49.2022, October, 14 S., 103102.
Publikationen: Beitrag in Fachzeitschrift › Artikel › Forschung › (peer-reviewed)

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Forschungsportal

Publikationen

Evaluating Multi-target Regression Framework for Dynamic Condition Prediction in Wellbore

Deep reinforcement learning algorithm for wellbore cleaning across drilling operation

A fundamentals mineralogical investigation of downhole cements within the context of Underground Hydrogen Storage

Cellulose nanocrystals (CNCs) as a potential additive for improving API class G cement performance: An experimental study

Application of machine learning to determine the shear stress and filtration loss properties of nano-based drilling fluid

A Reinforcement Learning Approach for Real-Time Autonomous Decision-Making in Well Construction

Mitigation of Non-productive Time Events by Continuously Monitoring the Drilling Parameters

Performance investigation of a drag-based hydrokinetic turbine considering the effect of deflector, flow velocity, and blade shape

Ultrasound velocity profiling technique for in-line rheological measurements: A prospective review

Synthesis and application of cellulose acetate-acrylic acid-acrylamide composite for removal of toxic methylene blue dye from aqueous solution

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