Research output

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2024
Published
Status und Potenziale von Carbon Capture
Wolf-Zöllner, P. & Lehner, M., 10 Sept 2024
Research output: Non-textual form › Web publication/site › Research
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
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
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
Hydrogen intensified synthesis processes to valorise process off-gases in integrated steelworks
Matino, I., Dettori, S., Conde, A. S., Colla, V., Petrucciani, A., Zaccara, A., Iannino, V., Mocci, C., Hauser, A., Kolb, S., Karl, J., Wolf-Zöllner, P., Haag, S., Bampaou, M., Panopoulos, K., Heracleous, E., Kieberger, N., Rechberger, K., Rog, L. & Rompalski, P., 28 Aug 2023, In: Matériaux et techniques. 111.2023, 2, 14 p., 204.
Research output: Contribution to journal › Article › Research › peer-review
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
Published
Application-based catalytic methanation of steelworks gases under dynamic operating conditions
Wolf-Zöllner, P., Lehner, M. & Kieberger, N., 14 Aug 2022, In: Journal of Cleaner Production. 371.2022, 15 October, 11 p., 133570.
Research output: Contribution to journal › Article › Research › peer-review
Published
Economic Evaluation of Renewable Hydrogen Integration into Steelworks for the Production of Methanol and Methane
Bampaou, M., Panopoulos, K., Seferlis, P., Sasiain, A., Haag, S., Wolf-Zöllner, P., Lehner, M., Rog, L., Rompalski, P., Kolb, S., Kieberger, N., Dettori, S., Matino, I. & Colla, V., 24 Jun 2022, In: Energies. 15.2022, 13, 26 p., 4650.
Research output: Contribution to journal › Article › Research › peer-review

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Research Portal

Research output

Status und Potenziale von Carbon Capture

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

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

Deep reinforcement learning algorithm for wellbore cleaning across drilling operation

Hydrogen intensified synthesis processes to valorise process off-gases in integrated steelworks

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

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

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

Application-based catalytic methanation of steelworks gases under dynamic operating conditions

Economic Evaluation of Renewable Hydrogen Integration into Steelworks for the Production of Methanol and Methane

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