BRU21 Conference • PRODECS - DrillFeel - OSDU • BRU21 Academy • Books
BRU21 video newsletter
BRU21 Conference • PRODECS - DrillFeel - OSDU • BRU21 Academy • Books
Dear colleague,
The Christmas holidays are approaching, and 2023 is ending. This year has been full of research, innovations, collaborations, and events. We are grateful to all our team members, partner companies, and everyone who supported us and contributed to BRU21.
Our team wishes you a Merry Christmas and a Happy New Year! And we are excited to share some of our 2023 accomplishments.
BRU21 Innovation
PRODECS: Better project investment decisions
This year, PRODECS – a BRU21 start-up initiative – received an NTNU Discovery grant to develop their first product: software for project investment decisions under significant uncertainties.
DrillFeel: Increasing driller’s situational awareness
In 2023, DrillFeel won the 1st Innovation prize among MSc projects from the Faculty of Engineering. DrillFeel is relevant for any drilling operations: oil and gas, CO2 and H2 storage or geothermal energy.
OSDU Innovation Lab
In collaboration Equinor and AkerBP, BRU21 is establishing an Innovation Laboratory on Open Subsurface Data Universe. The objective is to conduct innovative studies and promote OSDU to research and education at NTNU.
BRU21 Academy
Petroleum Cybernetics for Engineers and Managers
BRU21 Academy provides digitalization courses for the industry. In 2023-24, the courses are sponsored by the Norwegian Directorate for Higher Education and Skills. The course Petroleum Cybernetics for Engineers and Managers will be given again in the fall of 2024.
Digital oil: Machineries of Knowing
Eric Monteiro
The book "Digital Oil" is an analysis of digitalization, filtered through the case of oil and gas. It promotes a human-centered perspective on digital transformation.
Digitalization: Python Application for Drilling & Geoscience Engineer
Behzad Elahifar
Behzad and Erfan Hosseini explore Python's applications in drilling, including real-time data analysis, predictive maintenance, and machine learning.