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Jan Einar Gravdal

Jan Einar Gravdal

Senior Researcher

jagr@norceresearch.no
+47 51 87 56 19
Nygårdsgaten 112, 5008 Bergen, Norway

It is inspiring to work with technology that contributes to a significant reduction of greenhouse gas emissions from the petroleum industry, and to educate future engineers in the energy sector.

I am a senior researcher at NORCE Energy where I work in the Drilling and Well Modeling group. I am also Associate Professor at the University of Stavanger, where I work at the Faculty of Science and Technology.

My expertise is in mathematical modeling, in particular systems for process monitoring and control of drilling operations. As an associate professor, I am responsible for teaching and mentoring Master and PhD students at the Department of Energy and Petroleum Technology.

I hold a PhD in energy and petroleum technology, a master’s in applied mathematics and a bachelor's degree in marine engineering and business administration. I am educated at the University College of Bergen (BSc), University of Bergen (MSc), University of Stavanger and University of Houston (PhD).

I have long and broad experience both as a researcher, lecturer, project manager, and as an administrative officer for a research group. Since 2015, I have led the development and availability of OpenLab, an infrastructure for education, research and innovation. OpenLab is designed to accelerate the uptake of new technology and to renew the education of future engineers and researchers in the energy field. OpenLab is on the Norwegian roadmap for research infrastructure and has a development cost of NOK 48 million. Since 2011, I have led the program "Safe and cost-efficient drilling" under DrillWell, a center for research-based innovation led by NORCE. I have also had the pleasure of participating in the development of commercial successes from the idea stage to widely implemented technology.

Projects
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Publications
A hybrid test environment for verification of drilling automation systems – 2021
A New Approach to Development and Validation of Artificial Intelligence Systems for Drilling – IEEE Conference on Industrial Electronics and Applications 2020
Digitalization of Detailed Drilling Operation Plans and Verification of Automatic Progress Tracking with an Online Drilling Simulator Environment – 2020
Kick Detection and Influx Size Estimation during Offshore Drilling Operations using Deep Learning – IEEE Conference on Industrial Electronics and Applications 2019
OpenLab: Design and Applications of a Modern Drilling Digitalization Infrastructure – Society of Petroleum Engineering 2019
Web Enabled High Fidelity Drilling Computer Model with User-Friendly Interface for Education, Research and Innovation – Linköping Electronic Conference Proceedings 2018
Limiting Factors for the Ability to Achieve Accurate Pressure Control in Long Wells – Modeling, Identification and Control 2018
Virtuell Arena – Forskerforum 2017
Advancements in Automation – Oilfield Technology 2017
Open drilling simulator for research, education and development of future drilling technology – Oil, Gas 2016
Realistic simulator tools are crucial to reduce drilling costs – Adjacent Oil&GAS 2016
Automated kick control procedure for an influx in managed pressure drilling operations by utilizing PWD – Modeling, Identification and Control 2016
Model based drilling software – Adjacent Oil&GAS 2015
Possibilities of Using Wired Drill Pipe Telemetry During Managed Pressure Drilling in Extended Reach Wells – 2014
Evaluation of Coordinated Control During Back- Pressure MPD Operations – 2014
Principles and Sensitivity Analysis of Automatic Calibration of MPD Methods Based on Dual-Gradient Drilling Solutions – 2014
SPE 169211 - Back-Pressure MPD in Extended-Reach-Wells - Limiting Factors for the Ability to Achieve Accurate Pressure Control – 2014
Tuning of Computer Model Parameters in Managed Pressure Drilling Applications Using an Unscented Kalman Filter Technique – SPE Journal 2010
Improved Kick Management during MPD by Real-Time Pore-Pressure Estimation – SPE Drilling & Completion 2010
Ultradeepwater Hydraulics and Well-Control Tests With Extensive Instrumentation: Field Tests and Data Analysis – SPE Drilling & Completion 2005
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Insight

Significant contribution to Digital Drilling by NORCE

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Autonomous drilling for more efficient energy production with a lower carbon footprint