Adrian Ambrus
Senior Researcher
aamb@norceresearch.no
+47 51 87 50 87
Prof. Olav Hanssensvei 15, 4021 Stavanger, Norway
Division
Energy and Technology
Research Groups
Energy Modelling and Automation
More information about Adrian
Projects
Publications
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Academic articleEvaluation of distributed damping subs with active control for stick–slip reduction in drilling– Geoenergy Science and Engineering 2023
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Academic articleImproving predictive models for rate of penetration in real drilling operations through transfer learning– Journal of Computational Science 2023
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Academic articleSelf-Attenuation of Drillstring Torsional Vibrations Using Distributed Dampers– SPE Journal 2023
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Academic chapterExperimental Verification of Vibration Mitigation Through a Viscous Damping System Along the Drill String– 2023
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Academic chapterOn Transitions Functions Model for Decision-Making in Offshore Operations– 2022
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Conference lectureExploring transfer learning for ROP prediction on the NCS– Annual seminar SFI DigiWells 2022
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Conference lectureAI‐based multi‐modal prediction of stratigraphy to inform drilling performance– Annual seminar SFI DigiWells 2022
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Conference lecturePredicting likely stratigraphy realizations from shallow logs with AI– NFES Monthly Technical Meeting 2022
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Research reportDADPC: Demonstration of autonomous drilling in OpenLab and at Ullrigg test centre– NORCE Norwegian Research Centre 2022
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Academic chapterDemonstration of Autonomous Drilling on a Full-Scale Test Rig– 2022
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Academic chapterModeling and Analysis of Non-Rotating Damping Subs for Removing Torsional Vibrations in Drilling– 2022
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Academic chapterRate of Penetration Prediction Using Quantile Regression Deep Neural Networks– 2022
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Conference lectureDemo: Sequential prediction with noisy GR log and naïve ROP prediction– DigiWells technical meeting 2022
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Academic chapterSequential Multi-Realization Probabilistic Interpretation of Well Logs and Geological Prediction by a Deep-Learning Method– 2022
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Conference lectureSequential Multi-Realization Probabilistic Interpretation of Well Logs and Geological Prediction by a Deep-Learning Method– 63d SPWLA Annual Symposium 2022
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Conference lectureTransfer Learning Approach to Prediction of Rate of Penetration in Drilling– INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE (ICCS) 2022 2022
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Academic articleTransfer Learning Approach to Prediction of Rate of Penetration in Drilling– Lecture Notes in Computer Science (LNCS) 2022
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Conference lectureModeling and Analysis of Non-Rotating Damping Subs for Removing Torsional Vibrations in Drilling– ASME 41st International Conference on Ocean, Offshore and Arctic Engineering 2022
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Conference lectureRate of Penetration Prediction Using Quantile Regression Deep Neural Networks– ASME 41st International Conference on Ocean, Offshore and Arctic Engineering 2022
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Academic articleComputationally efficient simulation of non-isothermal two-phase flow during well construction using a new reduced drift-flux model– Applied Thermal Engineering 2022
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Conference lectureDemonstration of passive damping of vibrations in a lab experiment coupling rotational and axial movement– DigiWells Technical Meeting 2021
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Conference lectureCase Studies of PDC Bits in Deep Geothermal Drilling– World Geothermal Congress 2020+1 2021
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Academic chapterDevelopment, Testing and Validation of an Adaptive Drilling Optimization System– 2021
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Conference lectureDrilling Process Modelling with Deep Learning: Towards ROP Prediction– DigiWells seminar 2021
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Conference lectureDeep learning for probabilistic inversion during geosteering– HPC, DEEP LEARNING, AND NUMERICS IN GEOPHYSICS 2021
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Conference lectureSequential probabilistic multi-modal inversion and prediction with deep learning– DigiWells demo 2021
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Conference lectureDrilling performance predicitons with drilling efficiency uncertainty (Demo in OpenLab Drilling)– Technical meeting 2021
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Conference lectureDistributed Drilling Control: initial demonstration– Technical meeting 2021
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Academic articleAutonomous Decision-Making While Drilling– Energies 2021
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Academic articleAnalysis of Torsional Stick-Slip Situations from Recorded Downhole Rotational Speed Measurements– SPE Drilling & Completion 2021
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Academic chapterStatistical Determination of Bit-Rock Interaction and Drill String Mechanics for Automatic Drilling Optimization– 2020
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Academic articleGas in riser: On modeling gas influxes in non-aqueous drilling fluids with time-dependent desorption considerations– Journal of Petroleum Science and Engineering 2020
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Academic articleA phenomenological transient model of bit foundering– Journal of Petroleum Science and Engineering 2020
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Academic articleA Switching MPD Controller for Mitigating Riser Gas Unloading Events in Offshore Drilling– SPE Drilling & Completion 2020
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Academic chapterAnalysis of Torsional Stick-Slip Situations Observed with Downhole High-Frequency Magnetometer Data– 2020
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Academic chapterA Switching Controller for Mitigating Riser Gas Unloading Hazards in Offshore Drilling– 2019
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Academic chapterFeature selection for kick detection with machine learning using laboratory data– 2019
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Academic articleOpenLab: Design and Applications of a Modern Drilling Digitalization Infrastructure– Society of Petroleum Engineering 2019
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Academic articleAutomatic detection of anomalous drilling operations using machine learning methods and drilling process simulations– Oil, Gas 2019
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Conference lectureFeature selection for kick detection with machine learning using laboratory data– Proceedings of the ASME 2019 38th OMAE International Conference 2019
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Academic chapterSimilarity Analysis for Downscaling a Full Size Drill String to a Laboratory Scale Test Drilling Rig– 2018
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Conference lectureAutomatic detection of anomalous drilling operations using machine learning methods and drilling process simulations– Celle Drilling 2018 2018
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Academic literature reviewFrom shallow horizontal drilling to ERD wells: How scale affects drillability and the management of drilling incidents– Journal of Petroleum Science and Engineering 2017
