Navigation

  • Skip to Content
NTNU Home

BRU21 - Digitalization and Automation Solutions for the Oil and Gas Industry

  • Home
  • Research
    • BRU21 Program Areas
    • Publications by year
    • Publications by program areas
    • Publications by research team
  • Innovation
    • ComputerWell
    • PRODECS: Better project investment decisions
    • DIGIWELLDATA
    • DrillFeel: Increasing driller’s situational awareness
    • OSDU Innovation Lab
    • PERMEAN: Rapid downhole testing of permeability anisotropy
    • MAC: Acoustic look-ahead technology based on machine learning
    • ADF: Drilling Data Analytics tool
  • BRU21 Academy
  • Video Newsletters
    • The BRU21 Conference 2025
    • Invitation to the BRU21 Conference 2025
    • BRU21 Innovation: ProDecs • ComputerWell • DigiWellData • DrillFeel • OSDU Innovation Lab
    • AIDEAL – AI Billion Center • 6 new research projects • BRU21 Conference
    • Invitation to the BRU21 Conference 2024
    • BRU21 Conference • PRODECS - DrillFeel - OSDU • BRU21 Academy • Books
    • Equinor CEO visit • AI for subsea pipeline inspection • PRODECS • BRU21 Academy
    • BRU21 Conference #1
    • News
  • BRU21 Conference
    • BRU21 Conference 2025
    • BRU21 Conference 2024
    • BRU21 Conference 2023
    • Presentation Videos 2022
  • Awards
  1. Research

Research

×
  • BRU21 Program Areas
  • Publications by year
  • Publications by program areas
  • Publications by research team
MENU

BRU21 Research

BRU21 Research

BRU21 research is focused on value creation for the the offshore energy industry. It couples NTNU expertise in digital and offshore energy (including oil and gas) domains with the expertise and data from program’s industrial partners to create novel digital and automation technologies with a business impact. The research program consists of PhD and PostDoc projects organized in six program areas. NTNU digital expertise is utilized across the program areas and projects. The BRU21 project portfolio consists of 46 PhD, PostDoc and Researcher projects.

Figure

BRU21 Program Areas

BRU21 Program Areas

Exploration efficiency

Exploration efficiency

Development of fully- or partly automated methods, data-driven methods like machine or deep learning, in combination with rapidly increasing computational power open novel opportunities for the geoscience community.

Field development and economics

The objective of this research area is to improve and disrupt current field design workflows by developing, studying and implementing novel technical and economic valuation solutions that allow one to compute and flag optimum ways of exploiting hydrocarbons based on digital tools and methods.

Drilling and well

BRU21 aims to develop systems and methods which result in reduced well construction time and improved safety. The long term goal is to optimize the drilling process by achieving a high degree of autonomy.

Reservoir management and production optimization

BRU21 aims to develop computational tools and strategies to optimize production and manage uncertainty on both longer and shorter horizons.

Operations, maintenance, safety and security

Important aspects are predictive maintenance/real-time monitoring of asset condition, Big data analytics and artificial intelligence (AI)/machine learning (ML), as well as “physical” achievements like the use of drones and other autonomous tools.

New business and operational models

What are the organizational and technological preconditions for succeeding with digital transformation and the application of new business and operational models, and how can such change processes be managed?

Featured videos

Featured videos


Digital transformation and organizational challenges

Program area: New business and operational models

Professor Per Morten Schiefloe

The necessity of digital transformation is widely acknowledged throughout the oil and gas industry.

 


Jørn Vatn presents a projects from one of PhD candidates

Program area: Operations, maintenance, safety and security

Professor Jørn Vatn

PhD Candidate Ewa Laskowska

Reliability of safety instrumented systems is crucial for safe operation. SINTEF and NTNU have over the years together with the industry developed method and data handbooks to support safety demonstrations, that is the so-called SIL analyses.

 


NTNU – Norwegian University of Science and Technology

  • For employees
  • |
  • For students
  • |
  • Intranet
  • |
  • Blackboard

Studies

  • Master's programmes in English
  • For exchange students
  • PhD opportunities
  • Courses
  • Career development
  • Continuing education
  • Application process

News

  • NTNU News
  • Vacancies

About NTNU

  • About the university
  • Libraries
  • NTNU's strategy
  • Research excellence
  • Strategic research areas
  • Organizational chart

Contact

  • Contact NTNU
  • Employees
  • Find experts
  • Press contacts
  • Researcher support
  • Maps

NTNU in three cities

  • NTNU in Gjøvik
  • NTNU in Trondheim
  • NTNU in Ålesund

About this website

  • Use of cookies
  • Accessibility statement
  • Privacy policy
  • Editorial responsibility
Sign In
NTNU logo