• The Melanocortin System in Atlantic Salmon (Salmo salar L.) and Its Role in Appetite Control 

      Kalananthan, Tharmini; Lai, Floriana; Gomes, Ana S.; Murashita, Koji; Handeland, Sigurd O; Rønnestad, Ivar (Peer reviewed; Journal article, 2020)
      The melanocortin system is a key neuroendocrine network involved in the control of food intake and energy homeostasis in vertebrates. Within the hypothalamus, the system comprises two main distinct neuronal cell populations ...
    • Memento: Localized time‐warping for spatio‐temporal selection 

      Solteszova, Veronika; Smit, Noeska Natasja; Stoppel, Sergej; Grüner, Renate; Bruckner, Stefan (Peer reviewed; Journal article, 2019)
      Interaction techniques for temporal data are often focused on affecting the spatial aspects of the data, for instance through the use of transfer functions, camera navigation or clipping planes. However, the temporal aspect ...
    • Metamodeling of the Electrical Conditions in Submerged Arc Furnaces 

      Sparta, Manuel; Varagnolo, Damiano; Stråbø, Kristian; Halvorsen, Svenn Anton; Herland, Egil Vålandsmyr; Martens, Harald Aagaard (Peer reviewed; Journal article, 2021)
      Physics-based Finite Element Methods models can be used to investigate the electrical conditions in submerged arc furnaces (SAFs). However, their explicit solution may be very demanding in terms of time and computational ...
    • Metanfangst fra melke- og kjøttproduksjon i driftsbygninger 

      Gitlesen, Susanne; Breuhaus, Peter Helmut Herbert (Research report, 2020)
      A large share of greenhouse gas emissions in agriculture in Norway is due to methane emissions resulting from the digestion process of animals. This project evaluates possibilities for methane capture and used in dairy ...
    • Microbial hydrogen consumption leads to a significant pH increase under high-saline-conditions: implications for hydrogen storage in salt caverns 

      Dopffel, Nicole; Mayers, Kyle; Kedir, Abduljelil; Alagic, Edin; An-Stepec, Biwen; Djurhuus, Ketil; Boldt, Dabiel; Beeder, Janiche; Hoth, Silvan (Peer reviewed; Journal article, 2023)
      Salt caverns have been successfully used for natural gas storage globally since the 1940s and are now under consideration for hydrogen (H2) storage, which is needed in large quantities to decarbonize the economy to finally ...
    • Microbial induced wettability alteration with implications for Underground Hydrogen Storage 

      Boon, Maartje; Buntic, Ivan; Ahmad, Kadir; Dopffel, Nicole; Peters, Catherine; Hajibeygi, Hadi (Peer reviewed; Journal article, 2024)
      Characterization of the microbial activity impacts on transport and storage of hydrogen is a crucial aspect of successful Underground Hydrogen Storage (UHS). Microbes can use hydrogen for their metabolism, which can then ...
    • Microbial life in salt caverns and their influence on H2 storage – Current knowledge and open questions 

      Dopffel, Nicole; An-Stepec, Biwen; Bombach, Petra; Wagner, Martin; Passaris, Evan (Peer reviewed; Journal article, 2024)
      Hydrogen will be one of the key components for renewable energy storage in the future energy systems as it can be stored in significant volumes to overcome daily to seasonal energy fluctuations. Subsurface storage in salt ...
    • Microbiologically influenced corrosion-more than just microorganisms 

      Knisz, Judit; Eckert, Richard B.; Gieg, Lisa M.; Koerdt, Andrea; Lee, Jason; Silva, Elisabete Ribeiro; Skovhus, Torben Lund; An-Stepec, Biwen; Wade, Scott (Peer reviewed; Journal article, 2023)
      Microbiologically influenced corrosion (MIC) is a phenomenon of increasing concern that affects various materials and sectors of society. MIC describes the effects, often negative, that a material can experience due to the ...
    • Microfluidic study of effects of flow velocity and nutrient concentration on biofilm accumulation and adhesive strength in the flowing and no-flowing microchannels 

      Liu, Na; Skauge, Tormod; Landa-Marbán, David; Hovland, Beate; Thorbjørnsen, Bente; Radu, Florin Adrian; Vik, Bartek Florczyk; Baumann, Thomas; Bødtker, Gunhild (Peer reviewed; Journal article, 2019)
      Biofilm accumulation in porous media can cause pore plugging and change many of the physical properties of porous media. Engineering bioplugging may have significant applications for many industrial processes, while improved ...
    • Modeling extra-deep electromagnetic logs using a deep neural network 

      Alyaev, Sergey; Shahriari, Mostafa; Pardo, David; Omella, Ángel Javier; Larsen, David Selvåg; Jahani, Nazanin; Suter, Erich Christian (Peer reviewed; Journal article, 2021)
      Modern geosteering is heavily dependent on real-time interpretation of deep electromagnetic (EM) measurements. We have developed a methodology to construct a deep neural network (DNN) model trained to reproduce a full set ...
    • Modeling of Environmental Fate and Effects of Oil Leakages from Abandoned Subsea Wells Using an Environmental Impact Factor Tool 

      Pham, Hanh HT; Lohne, Hans Petter; Arild, Øystein; Schlenk, Daniel; Pampanin, Daniela M (Peer reviewed; Journal article, 2021)
      Potential environmental consequences of oil leakages (i.e., continuous uncontrolled releases at low flow rate over a long period of time) need to be taken into consideration in the ongoing development of plug and abandonment ...
    • Modeling of relative permeabilities including dynamic wettability transition zones 

      Kassa, Abay; Gasda, Sarah E.; Kumar, Kundan; Radu, Florin Adrian (Peer reviewed; Journal article, 2021)
      Wettability is a pore-scale property that impacts the relative movement and distribution of fluids in a porous medium. There are reservoir fluids that provoke the surface within pores to undergo a wettability change. This ...
    • Monitoring of a reverse cement job in a high-temperature geothermal environment 

      Lipus, Martin P.; Reinsch, Thomas; Weisenberger, Tobias B.; Kragset, Steinar; Stefánsson, Ari; Bogason, Sigurdur G. (Journal article; Peer reviewed, 2021)
      Cementing operations in wellbores, especially for long casings, are often challenging and prone to deficiencies when not properly planned and executed. While exploring for and exploiting of geothermal resources at temperatures ...
    • Monolithic and splitting solution schemes for fully coupled quasi-static thermo-poroelasticity with nonlinear convective transport 

      Brun, Mats Kirkesæther; Ahmed, Elyes; Berre, Inga; Nordbotten, Jan Martin; Radu, Florin Adrian (Peer reviewed; Journal article, 2020)
      This paper concerns monolithic and splitting-based iterative procedures for the coupled nonlinear thermo-poroelasticity model problem. The thermo-poroelastic model problem we consider is formulated as a three-field system ...
    • Multi-agent informed path planning using the probability hypothesis density 

      Olofsson, Harald Lennart Jonatan; Hendeby, Gustaf; Lauknes, Tom Rune; Johansen, Tor Arne (Peer reviewed; Journal article, 2020)
      An Informed Path Planning algorithm for multiple agents is presented. It can be used to efficiently utilize available agents when surveying large areas, when total coverage is unattainable. Internally the algorithm has a ...
    • Multilevel Assimilation of Inverted Seismic Data With Correction for Multilevel Modeling Error 

      Nezhadali, Mohammad; Bhakta, Tuhin; Fossum, Kristian; Mannseth, Trond (Journal article; Peer reviewed, 2021)
      With large amounts of simultaneous data, like inverted seismic data in reservoir modeling, negative effects of Monte Carlo errors in straightforward ensemble-based data assimilation (DA) are enhanced, typically resulting ...
    • Multiscale model diagnostics 

      Mannseth, Trond (Journal article; Peer reviewed, 2024)
      I consider the problem of model diagnostics, that is, the problem of criticizing a model prior to history matching by comparing data to an ensemble of simulated data based on the prior model (prior predictions). If the ...
    • Non-Gaussian Ensemble Optimization 

      Nilsen, Mathias Methlie; Stordal, Andreas Størksen; Raanes, Patrick Nima; Lorentzen, Rolf Johan; Eikrem, Kjersti Solberg (Journal article; Peer reviewed, 2024)
      Ensemble-based optimization (EnOpt), commonly used in reservoir management, can be seen as a special case of a natural evolution algorithm. Stein’s lemma gives a new interpretation of EnOpt. This interpretation enables us ...
    • Novel iterative ensemble smoothers derived from a class of generalized cost functions 

      Luo, Xiaodong (Peer reviewed; Journal article, 2021)
      Iterative ensemble smoothers (IES) are among the state-of-the-art approaches to solving history matching problems. From an optimization-theoretic point of view, these algorithms can be derived by solving certain stochastic ...
    • Numerical Simulations of Viscous Fingering in Fractured Porous Media 

      Berge, Runar Lie; Berre, Inga; Keilegavlen, Eirik; Nordbotten, Jan Martin (Peer reviewed; Journal article, 2024)
      The effect of heterogeneity induced by highly permeable fracture networks on viscous miscible fingering in porous media is examined using high-resolution numerical simulations. We consider the planar injection of a less ...