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Adrian Ambrus

Adrian Ambrus

Senior Researcher

aamb@norceresearch.no
+47 51 87 50 87
Prof. Olav Hanssensvei 15, 4021 Stavanger, Norway

Adrian Ambrus

Division

Energy & Technology

Research Groups

Bore og brønnmodellering

More information about Adrian Ambrus

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Projects
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Publications
Sequential Multi-Realization Probabilistic Interpretation of Well Logs and Geological Prediction by a Deep-Learning Method – 2022
Transfer Learning Approach to Prediction of Rate of Penetration in Drilling – Lecture Notes in Computer Science (LNCS) 2022
On Transitions Functions Model for Decision-Making in Offshore Operations – IEEE International Conference on Control and Automation 2022
Computationally efficient simulation of non-isothermal two-phase flow during well construction using a new reduced drift-flux model – Applied Thermal Engineering 2022
Development, Testing and Validation of an Adaptive Drilling Optimization System – 2021
Autonomous Decision-Making While Drilling – Energies 2021
Analysis of Torsional Stick-Slip Situations from Recorded Downhole Rotational Speed Measurements – SPE Drilling & Completion 2021
Statistical Determination of Bit-Rock Interaction and Drill String Mechanics for Automatic Drilling Optimization – 2020
Gas in riser: On modeling gas influxes in non-aqueous drilling fluids with time-dependent desorption considerations – Journal of Petroleum Science and Engineering 2020
A phenomenological transient model of bit foundering – Journal of Petroleum Science and Engineering 2020
A Switching MPD Controller for Mitigating Riser Gas Unloading Events in Offshore Drilling – SPE Drilling & Completion 2020
Analysis of Torsional Stick-Slip Situations Observed with Downhole High-Frequency Magnetometer Data – 2020
A Switching Controller for Mitigating Riser Gas Unloading Hazards in Offshore Drilling – 2019
Feature selection for kick detection with machine learning using laboratory data – 2019
OpenLab: Design and Applications of a Modern Drilling Digitalization Infrastructure – Society of Petroleum Engineering 2019
Automatic detection of anomalous drilling operations using machine learning methods and drilling process simulations – Oil, Gas 2019
Similarity Analysis for Downscaling a Full Size Drill String to a Laboratory Scale Test Drilling Rig – 2018
From shallow horizontal drilling to ERD wells: How scale affects drillability and the management of drilling incidents – Journal of Petroleum Science and Engineering 2017
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