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Rodica G. Mihai

Rodica G. Mihai

Seniorforsker

romi@norceresearch.no
+47 51 87 56 27
Nygårdsgaten 112, 5008 Bergen, Norway

I am a senior researcher in the Drilling and Well Modelling research group at NORCE Energy. I hold a PhD from University of Bergen. I am currently leading Drilling automation and autonomy, in the SFI DigiWells.

Before joining IRIS (now NORCE) in 2010, I worked as a research fellow in the Algorithms group at the Department of Informatics, University of Bergen, doing research in Theoretical Computer Science and Discrete Mathematics, most of it on Algorithmic Graph Theory which was also the topic of my PhD thesis.

At NORCE, I have been working in projects related to drilling automation both as a researcher and in project management. Lately, I have been working on autonomous drilling within the Demo 2000 project: Demonstration of Automated Drilling Process Control, supported by AkerBP, Equinor, Norwegian Research Council, Repsol, TOTAL, Vår Energy. I was Technical Leader for Autonomous Drilling - research, development, testing and demonstration in this project. Other projects where I was involved in include DrillTronics™, which is an advanced drilling assistance tool and is now commercialized by Sekal AS, projects on automated fluid processing, different case studies for industry, projects related to human factors in automated drilling and projects related to testing and verification of new technology within drilling automation and digitalization.

Key research topics I have been focused on during last years are real-time simulation of drilling process, development and implementation of model-based drilling automation applications, mathematical modelling, efficient knowledge representation, self-calibrating models, decision support systems, online learning, uncertainty estimation and methods for prediction of risk level in decision-making systems.

I hold a part-time position as Associate Professor at University of Bergen, Department of Informatics.

Se alle prosjekter
Publikasjoner
DADPC: Demonstration of autonomous drilling in OpenLab and at Ullrigg test centre – NORCE Norwegian Research Centre 2022
Demonstration of Autonomous Drilling on a Full-Scale Test Rig – 2022
Modeling and Analysis of Non-Rotating Damping Subs for Removing Torsional Vibrations in Drilling – 2022
On Transitions Functions Model for Decision-Making in Offshore Operations – IEEE International Conference on Control and Automation 2022
An Ensemble-Based Solution for Automating Drilling Engineering: Application to Directional Surveying – 2022
Development, Testing and Validation of an Adaptive Drilling Optimization System – 2021
A Technical Approach To Safe Mode Management For A Smooth Transition From Automatic to Manual Drilling – 2021
Autonomous Decision-Making While Drilling – Energies 2021
Statistical Determination of Bit-Rock Interaction and Drill String Mechanics for Automatic Drilling Optimization – 2020
An Approach to Autonomous Drilling – 2020
Similarity Analysis for Downscaling a Full Size Drill String to a Laboratory Scale Test Drilling Rig – 2018
Developing Operational Procedures for Safe and Efficient Application of New Process Control Functionality on the Drilling Rig – 2013
Edge search number of cographs – Discrete Applied Mathematics 2012
Cutwidth of Split Graphs and Threshold Graphs – SIAM Journal on Discrete Mathematics 2011
Efficient Self-stabilizing Graph Searching in Tree Networks – Lecture Notes in Computer Science (LNCS) 2010
Mixed Search Number and Linear-Width of Interval and Split Graphs – Networks 2010
Comparing First-Fit and Next-Fit for online edge coloring – Theoretical Computer Science 2010
Edge search number of cographs in linear time – Lecture Notes in Computer Science (LNCS) 2009
Mixed search number and linear-width of interval and split graphs – Networks 2009
PATHWIDTH is NP-Hard for Weighted Trees – Lecture Notes in Computer Science (LNCS) 2009
A Self-Stabilizing Algorithm for Graph Searching in Trees – Lecture Notes in Computer Science (LNCS) 2009
Mixed search number of permutation graphs – Lecture Notes in Computer Science (LNCS) 2008
Comparing First-Fit and Next-Fit for Online Edge Coloring – Lecture Notes in Computer Science (LNCS) 2008
Cutwidth of split graphs, threshold graphs, and proper interval graphs – Lecture Notes in Computer Science (LNCS) 2008
Mixed search number and linear-width of interval and split graphs – Lecture Notes in Computer Science (LNCS) 2007
Se alle publikasjoner på Cristin

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