The Marine Technology Risk, Safety and Asset Management Group

The Marine Technology Risk, Safety and Asset Management Group

Welcome to the webpage of the risk research group at the Marine Technology Department at NTNU. We develop methods for risk assessment, risk analysis, and hazard assessment for application in a variety of marine and maritime activities. Applications and industries that are covered by our research are, among others, autonomous systems, aquaculture, fisheries, oil and gas offshore platforms, and advanced ships.

The researchers in our group have a variety of backgrounds and research interests. We believe that through collaboration and interdisciplinary work, we can address risk and safety challenges that arise through new technologies, application areas and business opportunities in the marine environment. Read more about our ongoing research projects below.

Research projects

Research projects

The objectives of online risk modelling are to provide a real-time risk picture, give early warnings of deviations in the system, improve decision-support for dynamic positioning (DP) system operators, and improve HMI in DP operator stations in order to improve response to abnormal scenarios. Find more information on the project website.
In the Orcas project novel technological solutions for online risk management and risk control of autonomous ships will be developed. Cutting-edge interdisciplinary research combining cybernetics and risk management aims to achieve high level of autonomy, intelligence and decision-making capabilities for autonomous ships. The goal is to enhance the realization of autonomous ships by developing safer and smarter automatic sailing systems and power and propulsion systems that are able to detect, perceive, verify, monitor, control and follow-up deviations and potential hazards. Find more information on the project website.
This project researches and develops novel concepts for autonomous operations and technology to improve safety and efficiency in aquaculture. In particular, the project will address daily operations and inspection, maintenance, and repair (IMR) for exposed locations, but the project results will also be applicable to more sheltered fish production. Moreover, the project will assess, utilize and possibly adapt technology developed for subsea IMR in the oil and gas industry. Advances in sensor technology, robotics, ICT, and localization methods create new opportunities for reducing operators' manual workload and exposure time on the facilities at sea, for preventing fish escape, and for improving safety and operational efficiency. Find more information on the project website.
The UNLOCK project addresses research challenges related to risk acceptance and supervisory risk control of autonomous systems and operations. The aim is to develop more powerful risk control solutions to achieve safe system performances and allow for widespread use of autonomous systems. The outcomes of this ambitious project will support and enhance the achievement of higher-level autonomy and intelligence in advanced control systems through the integration of online risk modelling, testing and verification of safe responses of the control system. Find more information on the project website.

The group is involved also in other projects as contributors:

Resources

Resources

Researchers

Learn more about our researchers.

Publications

Books:

Risk Assessment: Theory, Methods and Applications.
Marvin Rausand and Stein Haugen. 2020.
Newark: John Wiley & Sons, Incorporated

Risk and Interdependencies in Critical Infrastructures: A Guide for Analysis
Eds. P. Hokstad, I. B. Utne, and J. Vatn. 2012
Springer, London (Chinese edition, 2015)

 

Risikoanalyse. Teori og metoder (in Norwegian) 
M. Rausand and I. B. Utne. 2009
Tapir Akademisk Forlag, Trondheim

 

Recent journal papers:


  •   Ramos, M.A, Thieme, Christoph A, Utne, Ingrid B, & Mosleh, A. (2020). Human-system concurrent task analysis for maritime autonomous surface ship operation and safety. Reliability Engineering & System Safety, 195, 106697. https://doi.org/10.1016/j.ress.2019.106697
  •      Thieme, Christoph A, Mosleh, Ali, Utne, Ingrid B, & Hegde, Jeevith. (2020). Incorporating software failure in risk analysis––Part 2: Risk modeling process and case study. Reliability Engineering & System Safety, 198, 106804. https://doi.org/10.1016/j.ress.2020.106804
  •   Hogenboom, Sandra, Rokseth, Børge, Vinnem, Jan Erik, & Utne, Ingrid Bouwer. (2020). Human reliability and the impact of control function allocation in the design of dynamic positioning systems. Reliability Engineering & System Safety, 194, 106340. https://doi.org/10.1016/j.ress.2018.12.019

      Utne, Ingrid Bouwer, Rokseth, Børge, Sørensen, Asgeir J, & Vinnem, Jan Erik. (2020). Towards supervisory risk control of autonomous ships. Reliability Engineering & System Safety, 196, 106757. https://doi.org/10.1016/j.ress.2019.106757

  •   Holen, Siri M, Yang, Xue, Utne, Ingrid B, & Haugen, Stein. (2019). Major accidents in Norwegian fish farming. Safety Science, 120, 32–43. https://doi.org/10.1016/j.ssci.2019.05.036
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  •  See our full publications.

Study courses

Useful links