Now showing items 47-66 of 206

    • Deep learning for graphs 

      Bacciu, Davide; Bianchi, Filippo Maria; Paassen, Benjamin; Alippi, Cesare (Chapter, 2018)
      Deep learning for graphs encompasses all those neural models endowed with multiple layers of computation operating on data represented as graphs. The most common building blocks of these models are graph encoding layers, ...
    • Detecting and Interpreting Faults in Vulnerable Power Grids With Machine Learning 

      Eikeland, Odin Foldvik; Holmstrand, Inga Setså; Bakkejord, Sigurd; Chiesa, Matteo; Bianchi, Filippo Maria (Journal article; Peer reviewed, 2021)
      Unscheduled power disturbances cause severe consequences both for customers and grid operators. To defend against such events, it is necessary to identify the causes of interruptions in the power distribution network. In ...
    • Diagnostics of seal and rod degradation in hydraulic cylinders using acoustic emissions 

      Shanbhag, Vignesh Vishnudas; Meyer, Thomas; Caspers, Leo; Schlanbusch, Rune (Peer reviewed; Journal article, 2020)
      External leakage from hydraulic cylinders is of a major concern for the offshore oil and gas industry. This occurs mainly as a result of physical damage to the piston rod or due to degradation of the piston rod seals. ...
    • Differences in Direct Geothermal Energy Utilization for Heating and Cooling in Central and Northern European Countries 

      Nordgård-Hansen, Ellen Marie; Fjellså, Ingvild Firman; Medgyes, Tamás; Guðmundsdóttir, María; Pétursson, Baldur; Miecznik, Maciej; Pająk, Leszek; Halás, Oto; Leknes, Einar; Midttømme, Kirsti (Peer reviewed; Journal article, 2023)
      Geothermal energy has emerged as an alternative heating source that can replace fossil energy. This mature technology is already in use all over Europe, but there are significant differences in its use between European ...
    • Digital Monitoring of Co2 Storage Projects (Digimon) 

      Nøttvedt, Arvid; Midttømme, Kirsti; Lien, Martha; Puts, Hanneke; Stork, Anne (Journal article, 2021)
      With an overall objective to “accelerate the implementation of CCS by developing and demonstrating an affordable, flexible, societally embedded and smart Digital Monitoring early-warning system”, the DigiMon project aims ...
    • Dimensional reduction of a fractured medium for a polymer EOR model 

      Dugstad, Martin Sandanger; Kumar, Kundan; Pettersen, Øystein (Peer reviewed; Journal article, 2021)
      Dimensional reduction strategy is an effective approach to derive reliable conceptual models to describe flow in fractured porous media. The fracture aperture is several orders of magnitude smaller than the characteristic ...
    • Direct Multi-Modal Inversion of Geophysical Logs Using Deep Learning 

      Alyaev, Sergey; Elsheikh, Ahmed (Peer reviewed; Journal article, 2022)
      Geosteering of wells requires fast interpretation of geophysical logs which is a non-unique inverse problem. Current work presents a proof-of-concept approach to multi-modal probabilistic inversion of logs using a single ...
    • A Discrete-Domain Approach to Three-Phase Hysteresis in Porous Media 

      Helland, Johan Olav; Jettestuen, Espen; Friis, Helmer Andre` (Peer reviewed; Journal article, 2021)
      We present a discrete-domain approach to three-phase displacements and hysteresis in porous media. In this method, constrained energy minimization leads to evolution equations for local saturations that describe a wide ...
    • Dynamic estimates of extreme-case CO2 storage capacity for basin-scale heterogeneous systems under geological uncertainty 

      Pettersson, Per; Tveit, Svenn; Gasda, Sarah Eileen (Peer reviewed; Journal article, 2022)
      Geological CO2 storage is expected to grow dramatically in the coming decades to meet global climate targets. Assessment of worldwide storage resources using static methods indicates significant theoretical potential for ...
    • Dynamic PVT model for CO2-EOR black-oil simulations 

      Sandve, Tor Harald; Sævareid, Ove; Aavatsmark, Ivar (Peer reviewed; Journal article, 2022)
      A well-planned CO2EOR operation can help meet an ever-increasing need for energy and at the same time reduce the total CO2 footprint from the energy production. Good simulation studies are crucial for investment decisions ...
    • Effect of buoyancy and inertia on viscoplastic fluid-fluid displacements in a regular and an irregular eccentric annulus 

      Skadsem, Hans Joakim; Kragset, Steinar (Peer reviewed; Journal article, 2020)
      Casing strings and liners are important subsurface structural components in petroleum and in geothermal wells. After the casing string has been run in hole, it is cemented to the formation by pumping a sequence of spacer ...
    • Effective permeability of deformation bands in fault damage zones – Can deformation bands reduce the risk of fault leakage? 

      Berge, Runar Lie; Gasda, Sarah Eileen; Keilegavlen, Eirik; Sandve, Tor Harald (Chapter; Peer reviewed; Conference object, 2021)
      Faults are major geological structures that can dominate the flow paths in subsurface reservoirs by, e.g., connecting otherwise unconnected layers. In CO2 storage sites where the faults act as the main structural trap, the ...
    • Effects of confinement pressure on the mechanical behavior of an oil well cement paste 

      Lima, Victor Nogueira; Silva, Flávio de Andrade; Skadsem, Hans Joakim; Beltrán-Jiménez, Katherine; Sunde, Jonas Kristoffer (Peer reviewed; Journal article, 2021)
      Oil well cement paste is a key structural component in wells that should provide mechanical support to the casing and prevent uncontrolled flow of formation fluids along the wellbore and to the environment. Since the annular ...
    • Effects of permeability on CO2 dissolution and convection at reservoir temperature and pressure conditions: A visualization study 

      Amarasinghe, Widuramina Sameendranath; Fjelde, Ingebret; Guo, Ying; Rydland, Jan-Åge (Peer reviewed; Journal article, 2020)
      When CO2 is injected into aquifers, CO2 will dissolve into the water phase. CO2 dissolution initiated by diffusion, will increase the density of the water phase and thereby commence the convective flow of CO2. The objective ...
    • Efficient Solvers for Nonstandard Models for Flow and Transport in Unsaturated Porous Media 

      Illiano, Davide; Both, Jakub Wiktor; Pop, Iuliu Sorin; Radu, Florin Adrian (Peer reviewed; Journal article, 2022)
      We study several iterative methods for fully coupled flow and reactive transport in porous media. The resulting mathematical model is a coupled, nonlinear evolution system. The flow model component builds on the Richards ...
    • Ensemble-based constrained optimization using an exterior penalty method 

      Oguntola, Micheal Babatunde; Lorentzen, Rolf J. (Peer reviewed; Journal article, 2021)
      In science and engineering, non-linear constrained optimization has been a useful mathematical technique for many practical applications. Of interest to us is its applicability in the modeling and prediction of hydrocarbon ...
    • An ensemble-based decision workflow for reservoir management 

      Chang, Yuqing; Evensen, Geir (Peer reviewed; Journal article, 2022)
      It is challenging to make optimal field development and reservoir management decisions with diminishing resources and low-emission requirements. For an optimal exploitation of the reservoir fluids, it is necessary to ...
    • Ensemble-Based Well-Log Interpretation and Uncertainty Quantification for Well Geosteering 

      Jahani, Nazanin; Ambia Garrido, Joaquin; Alyaev, Sergey; Fossum, Kristian; Suter, Erich Christian; Torres-Verdin, Carlos (Peer reviewed; Journal article, 2022)
      Hydrocarbon reservoirs are often located in spatially complex and uncertain geologic environments, where the associated costs of drilling wells for exploration and development are notoriously high. These costs may be reduced ...
    • Environmental Controls of InSAR-Based Periglacial Ground Dynamics in a Sub-Arctic Landscape 

      Rouyet, Line; Karjalainen, Olli; Niittynen, P.; Aalto, Juha; Luoto, Miska; Lauknes, Tom Rune; Larsen, Yngvar; Hjort, J. (Peer reviewed; Journal article, 2021)
      Periglacial environments are characterized by highly dynamic landscapes. Freezing and thawing lead to ground movement, associated with cryoturbation and solifluction. These processes are sensitive to climate change and ...
    • Environmental risk assessment of an underwater acoustic mobile network 

      Tomasi, Beatrice (Lecture, 2022)
      Underwater vehicles make inspections and surveillance safer and with a lower carbon footprint than ship-based operations. However, to effectively operate them, they need robust positioning and communication systems. One ...