• Fast robust optimization using bias correction applied to the mean model 

      Wang, Lingya; Oliver, Dean (Peer reviewed; Journal article, 2020)
      Ensemble methods are remarkably powerful for quantifying geological uncertainty. However, the use of the ensemble of reservoir models for robust optimization (RO) can be computationally demanding. The straightforward ...
    • Fault Classification of Axial and Radial Roller Bearings Using Transfer Learning through a Pretrained Convolutional Neural Network 

      Hemmer, Martin; Huynh, Khang; Robbersmyr, Kjell Gunnar; Waag, Tor Inge; Meyer, Thomas (Peer reviewed; Journal article, 2018)
      Detecting bearing faults is very important in preventing non-scheduled shutdowns, catastrophic failures, and production losses. Localized faults on bearings are normally detected based on characteristic frequencies associated ...
    • Fault core thickness: Insights from siliciclastic and carbonate rocks 

      Torabi, Anita; Johannessen, Magnus Ueland; Ellingsen, Tor Saltnes Skram (Peer reviewed; Journal article, 2019)
      Fault core accommodates intense deformation in the form of slip surfaces and fault rocks such as fault gouge, cataclasite, breccia, lenses, shale smear, and diagenetic features. The complexity and variation in fault core ...
    • Feasibility of using distributed chemical sensing for CO2 leakage monitoring 

      Bond, Tiziana C (DigiMon ACT2 (NORCE);D1.8, Research report, 2021)
      The feasibility study focused on the development of new fiber for distributed chemical sensing (DCS) that will allow direct detection of CO2 leakages in the environment. This is particularly important for monitoring well ...
    • Field-scale impacts of long-term wettability alteration in geological CO2 storage 

      Kassa, Abay; Gasda, Sarah Eileen; Landa-Marbán, David; Sandve, Tor Harald; Kumar, Kundan (Peer reviewed; Journal article, 2022)
      Constitutive functions that govern macroscale capillary pressure and relative permeability are central in constraining both storage efficiency and sealing properties of storage systems. Constitutive functions for porous ...
    • Finite volume discretization for poroelastic media with fractures modeled by contact mechanics 

      Berge, Runar Lie; Berre, Inga; Keilegavlen, Eirik; Nordbotten, Jan Martin; Wohlmuth, Barbara (Peer reviewed; Journal article, 2019)
      A fractured poroelastic body is considered where the opening of the fractures is governed by a nonpenetration law, whereas slip is described by a Coulomb‐type friction law. This physical model results in a nonlinear ...
    • A Finite-Volume-Based Module for Unsaturated Poroelasticity 

      Varela, Jhabriel; Gasda, Sarah Eileen; Keilegavlen, Eirik; Nordbotten, Jan Martin (Chapter, 2021)
      In this chapter, we present fv-unsat, a multipoint finite-volume–based solver for unsaturated flow in deformable and nondeformable porous media. The latter is described using the mixed form of Richards’ equation, whereas ...
    • Finite‐amplitude power budget equations for acoustic fish abundance estimation 

      Lunde, Per (Peer reviewed; Journal article, 2020)
      Finite‐amplitude (nonlinear) sound propagation effects in seawater may cause measurement errors in fish and zooplankton abundance estimation and species identification for accessible echo sounder transmit electrical power ...
    • Fisheries acoustics and Acoustic Target Classification - Report from the COGMAR/CRIMAC workshop on machine learning methods in fisheries acoustics 

      Handegard, Nils Olav; Andersen, Lars Nonboe; Brautaset, Olav; Choi, Changkyu; Eliassen, Inge Kristian; Heggelund, Yngve; Hestnes, Arne Johan; Malde, Ketil; Osland, Håkon; Ordonez, Alba; Patel, Ruben; Pedersen, Geir; Umar, Ibrahim; Engeland, Tom Van; Vatnehol, Sindre (Rapport fra havforskningen, Research report, 2021)
      This report documents a workshop organised by the COGMAR and CRIMAC projects. The objective of the workshop was twofold. The first objective was to give an overview of ongoing work using machine learning for Acoustic Target ...
    • Flow behavior of thermo-thickening associative polymers in porous media: effects of associative content, salinity, time, velocity, and temperature 

      Åsen, Siv Marie; Stavland, Arne; Strand, Daniel (Journal article; Peer reviewed, 2022)
      Above a critical temperature, thermo-thickening associative polymers (TAPs) have a superior ability to decrease the mobility of the water phase, compared to traditional polymers for enhanced oil recovery. The ability to ...
    • Fluid Migration Characterization of Full-scale Annulus Cement Sections Using Pressure-Pulse-Decay Measurements 

      Skadsem, Hans Joakim (Peer reviewed; Journal article, 2021)
      Fluid migration behind casings is a well integrity problem that can result in sustained casing pressure, undetected leaks to the environment, and potentially very challenging remediation attempts. Understanding the geometric ...
    • Forecasting Piston Rod Seal Failure Based on Acoustic Emission Features in ARIMA Model 

      Pedersen, Jørgen Fone; Schlanbusch, Rune; Shanbhag, Vignesh Vishnudas (Peer reviewed; Journal article, 2022)
      Fluid leakage due to piston rod seal failure in hydraulic cylinders results in unscheduled maintenance, machine downtime and loss of productivity. Therefore, it is vital to understand the piston rod seal failure at initial ...
    • Formulating the history matching problem with consistent error statistics 

      Evensen, Geir (Peer reviewed; Journal article, 2021)
      It is common to formulate the history-matching problem using Bayes’ theorem. From Bayes’, the conditional probability density function (pdf) of the uncertain model parameters is proportional to the prior pdf of the model ...
    • Forstudie Sirkulære muligheter i Sauda og Suldal 

      Meland, Kjersti V.; Kleinegris, Dorinde Mechtilde Meike; Enerstvedt, Anna Kraaijeveld; Fromreide, Mads (Research report, 2023)
      Denne forstudien har undersøkt potensialet for utvikling av nye vekstnæringer ved å tilrettelegge for sirkulært og bioøkonomisk samarbeid i Sauda og Suldal. Forstudien har kartlagt ressurs- og sidestrømmer til en gruppe ...
    • Framework for effective robust design of building energy systems: Bridging the gap between predicted and actual energy use 

      Kocbach, Jan Martin; Folgerø, Kjetil; Skålvik, Astrid Marie; Olsen Wulff, Maria; Kjellberg, Bianca Karolina; Harsem, Trond Thorgeir (Peer reviewed; Journal article, 2022)
      Practitioners working on building performance simulations do seldom apply uncertainty and sensitivity analysis using state-of-the-art global methods in their daily workflow. With stricter building regulations imposed year ...
    • Framework for forward modelling of the DigiMon data 

      Vandeweijer, Vincent; Paap, Bob; Candela, Thibault; Bhakta, Tuhin; Lien, Martha (ACT DigiMon (NORCE);D2.1, Research report, 2021)
      Deliverable D2.1 adds to the main goal of WP2 of the ACT DigiMon project, which is to develop the integrated DigiMon system. The key target for WP2 is to optimally integrate various system components into a reliable and ...
    • From outcrop scanlines to discrete fracture networks, an integrative workflow 

      Lepillier, Baptiste; Bruna, Pierre-Olivier; Bruhn, David; Bastesen, Eivind; Daniilidis, Alexandros; Garcia, Óscar; Torabi, Anita; Wheeler, Walter H (Journal article; Peer reviewed, 2020)
      Understanding fractures and fracture networks is essential for the investigation and use of subsurface reservoirs. The aim is to predict the fractures and the fracture network when there is no direct access to subsurface ...
    • Fuzzy Gain-Scheduling PID for UAV Position and Altitude Controllers 

      Melo, Aurelio G.; Andrade, Fabio Augusto de Alcantara; Guedes, Ihannah P.; Carvalho, Guilherme F.; Zachi, Alessandro R. L.; Pinto, Milena F. (Peer reviewed; Journal article, 2022)
      Unmanned aerial vehicle (UAV) applications have evolved to a wide range of fields in the last decade. One of the main challenges in autonomous tasks is the UAV stability during maneuvers. Thus, attitude and position control ...
    • Geocellular rendering of cave surveys in paleokarst reservoir models 

      Lønøy, Bjarte; Tveranger, Jan; Pennos, Christos; Whitaker, Fiona; Lauritzen, Stein-Erik (Peer reviewed; Journal article, 2020)
      Infilled and collapsed cave systems are an important component of many paleokarst reservoirs. Incorporating these features into industrial reservoir models commonly relies on geostatistical modelling methods that often ...
    • Geologi, jordsmonn og botaniske undersøkelser på Lisle Lyngøy (delrapport 1) 

      Bastesen, Eivind; Andersen, Gidske Leknæs (Research report, 2023)
      Lisle Lyngøya ligger i nordspissen av Øygarden kommune, som geologisk sett er en del av den norske strandflaten. Strandflaten er karakterisert av nederodert lavland, og strekker seg langs hele norskekysten med unntak av ...