Fisher behaviour is a key consideration and source of uncertainty for recreational fisheries management. All human behaviour is complex and thus difficult to understand, predict, and manage. In recreational fisheries, classical economic theories of profit maximization or rational choice tend to...
Kan CO₂, slam og avløpsvann bli til mat? Ja! Gjennom prosjektet SymbiForklart har forskere fra SINTEF Ocean og Vitensenteret i Trondheim vist hvordan naturens små helter – lavtrofiske organismer – kan forvandle industriavfall til verdifulle ressurser. Resultatet? Nysgjerrige elever, engasjerte...
Disruptions to transport infrastructure and logistics networks caused by extreme weather, geopolitical crises, pandemics and other shocks are expected to intensify in the future. This paper examines how stakeholders currently handle such disruptions and to what extent sustainability is integrated...
Carbon capture and storage is acknowledged as one of the key technologies in the energy system transition towards low greenhouse gas emissions while simultaneously meeting the demand for energy supply. Large-scale and safe CO 2 storage requires monitoring plans to address operational and regulatory...
This paper presents a simulation-based analysis of a Hybrid Battery Energy Storage System (HBESS) that combines a commercial nickel manganese cobalt (NMC811) cell with a next-generation cell featuring Silicon-Graphite (SiGr) and lithium nickel manganese oxide (LNMO) electrodes. Using two Pseudo Two...
Abstract Time-step selection in fully implicit reservoir simulations is typically guided by the magnitude of changes in solution variables and the number of nonlinear iterations required to converge the previous steps. However, for complex reservoir models, these criteria often fail to accurately...
Immersive Virtual Reality (IVR) games are increasing in popularity in formal education and professional contexts. Enhancing the IVR game with learning analytics can add value to the learning gains. Gamified Learning Analytics (GLA), i.e., LA that are gaming elements “by design”, have been proposed...
Accurately capturing the dynamic elastic properties of rock and their relation with stress and strain is crucial for interpreting time-lapse seismic surveys from projects including hydrocarbon exploration and geological carbon sequestration. Traditionally, these relations have been analyzed in the...
Maintaining wellbore stability is important in both drilling, completion, and production phases of petroleum wells. We have investigated an innovative way of stabilizing rock formations using steel nails akin to concrete or soil reinforcement. In this paper we focus on its applications to high...
Creeping shale formations can provide efficient barriers around deep wells. Such shale barriers are highly valuable both economically and functionally, however their presence and quality need to be verified by well tests. For the validity of a shale barrier verification test, it is not only...
Introduction: Despite being a fundamental human right, access to assistive products varies between 3% and 90% across countries. Ensuring adequate and trained human resources is a prerequisite for improving access to assistive products. To support workforce planning and development, this study...
The increased usage of Internet of Things devices at the network edge and the proliferation of microservice-based applications create new orchestration challenges in Edge computing. These include detecting overutilized resources and scaling out overloaded microservices in response to surging...
The European Union's ambitious carbon reduction targets for 2030 demand innovative solutions across energy-intensive sectors. Among these, the glass industry is actively seeking sustainable alternatives to natural gas combustion, a major source of carbon emissions in glass production. This paper...
Reducing emissions from offshore oil and gas operations on the Norwegian Continental Shelf (NCS) is critical to meeting Norway's 2030 and 2050 climate targets. This paper presents a decision-support framework that combines machine learning–based forecasting with structured technology evaluation to...