Adrian Ambrus
Seniorforsker
aamb@norceresearch.no
+47 51 87 50 87
Prof. Olav Hanssensvei 15, 4021 Stavanger, Norway
Prosjekter
Publikasjoner
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Vitenskapelig artikkelEvaluation of distributed damping subs with active control for stick–slip reduction in drilling– Geoenergy Science and Engineering 2023
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Vitenskapelig artikkelImproving predictive models for rate of penetration in real drilling operations through transfer learning– Journal of Computational Science 2023
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Vitenskapelig artikkelSelf-Attenuation of Drillstring Torsional Vibrations Using Distributed Dampers– SPE Journal 2023
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Vitenskapelig kapittelExperimental Verification of Vibration Mitigation Through a Viscous Damping System Along the Drill String– 2023
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Vitenskapelig kapittelOn Transitions Functions Model for Decision-Making in Offshore Operations– 2022
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KonferanseforedragExploring transfer learning for ROP prediction on the NCS– Annual seminar SFI DigiWells 2022
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KonferanseforedragAI‐based multi‐modal prediction of stratigraphy to inform drilling performance– Annual seminar SFI DigiWells 2022
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KonferanseforedragPredicting likely stratigraphy realizations from shallow logs with AI– NFES Monthly Technical Meeting 2022
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ForskningsrapportDADPC: Demonstration of autonomous drilling in OpenLab and at Ullrigg test centre– NORCE Norwegian Research Centre 2022
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Vitenskapelig kapittelDemonstration of Autonomous Drilling on a Full-Scale Test Rig– 2022
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Vitenskapelig kapittelModeling and Analysis of Non-Rotating Damping Subs for Removing Torsional Vibrations in Drilling– 2022
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Vitenskapelig kapittelRate of Penetration Prediction Using Quantile Regression Deep Neural Networks– 2022
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KonferanseforedragDemo: Sequential prediction with noisy GR log and naïve ROP prediction– DigiWells technical meeting 2022
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Vitenskapelig kapittelSequential Multi-Realization Probabilistic Interpretation of Well Logs and Geological Prediction by a Deep-Learning Method– 2022
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KonferanseforedragSequential Multi-Realization Probabilistic Interpretation of Well Logs and Geological Prediction by a Deep-Learning Method– 63d SPWLA Annual Symposium 2022
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KonferanseforedragTransfer Learning Approach to Prediction of Rate of Penetration in Drilling– INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE (ICCS) 2022 2022
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Vitenskapelig artikkelTransfer Learning Approach to Prediction of Rate of Penetration in Drilling– Lecture Notes in Computer Science (LNCS) 2022
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KonferanseforedragModeling 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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KonferanseforedragRate of Penetration Prediction Using Quantile Regression Deep Neural Networks– ASME 41st International Conference on Ocean, Offshore and Arctic Engineering 2022
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Vitenskapelig artikkelComputationally 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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KonferanseforedragDemonstration of passive damping of vibrations in a lab experiment coupling rotational and axial movement– DigiWells Technical Meeting 2021
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KonferanseforedragCase Studies of PDC Bits in Deep Geothermal Drilling– World Geothermal Congress 2020+1 2021
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Vitenskapelig kapittelDevelopment, Testing and Validation of an Adaptive Drilling Optimization System– 2021
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KonferanseforedragDrilling Process Modelling with Deep Learning: Towards ROP Prediction– DigiWells seminar 2021
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KonferanseforedragDeep learning for probabilistic inversion during geosteering– HPC, DEEP LEARNING, AND NUMERICS IN GEOPHYSICS 2021
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KonferanseforedragSequential probabilistic multi-modal inversion and prediction with deep learning– DigiWells demo 2021
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KonferanseforedragDrilling performance predicitons with drilling efficiency uncertainty (Demo in OpenLab Drilling)– Technical meeting 2021
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KonferanseforedragDistributed Drilling Control: initial demonstration– Technical meeting 2021
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Vitenskapelig artikkelAutonomous Decision-Making While Drilling– Energies 2021
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Vitenskapelig artikkelAnalysis of Torsional Stick-Slip Situations from Recorded Downhole Rotational Speed Measurements– SPE Drilling & Completion 2021
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Vitenskapelig kapittelStatistical Determination of Bit-Rock Interaction and Drill String Mechanics for Automatic Drilling Optimization– 2020
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Vitenskapelig artikkelGas 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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Vitenskapelig artikkelA phenomenological transient model of bit foundering– Journal of Petroleum Science and Engineering 2020
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Vitenskapelig artikkelA Switching MPD Controller for Mitigating Riser Gas Unloading Events in Offshore Drilling– SPE Drilling & Completion 2020
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Vitenskapelig kapittelAnalysis of Torsional Stick-Slip Situations Observed with Downhole High-Frequency Magnetometer Data– 2020
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Vitenskapelig kapittelA Switching Controller for Mitigating Riser Gas Unloading Hazards in Offshore Drilling– 2019
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Vitenskapelig kapittelFeature selection for kick detection with machine learning using laboratory data– 2019
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Vitenskapelig artikkelOpenLab: Design and Applications of a Modern Drilling Digitalization Infrastructure– Society of Petroleum Engineering 2019
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Vitenskapelig artikkelAutomatic detection of anomalous drilling operations using machine learning methods and drilling process simulations– Oil, Gas 2019
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KonferanseforedragFeature selection for kick detection with machine learning using laboratory data– Proceedings of the ASME 2019 38th OMAE International Conference 2019
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Vitenskapelig kapittelSimilarity Analysis for Downscaling a Full Size Drill String to a Laboratory Scale Test Drilling Rig– 2018
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KonferanseforedragAutomatic detection of anomalous drilling operations using machine learning methods and drilling process simulations– Celle Drilling 2018 2018
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Vitenskapelig oversiktsartikkelFrom shallow horizontal drilling to ERD wells: How scale affects drillability and the management of drilling incidents– Journal of Petroleum Science and Engineering 2017
