Blar i Artikler, kapitler og presentasjoner fra NORCE Energi og teknologi på tittel
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Fast robust optimization using bias correction applied to the mean model
(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
(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
(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 ... -
Field-scale impacts of long-term wettability alteration in geological CO2 storage
(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
(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
(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
(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 ... -
Flow behavior of thermo-thickening associative polymers in porous media: effects of associative content, salinity, time, velocity, and temperature
(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
(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
(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
(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 ... -
Framework for effective robust design of building energy systems: Bridging the gap between predicted and actual energy use
(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 ... -
From outcrop scanlines to discrete fracture networks, an integrative workflow
(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
(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
(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 ... -
Great expectations: Migrant parents and parent-school cooperation in Norway
(Peer reviewed; Journal article, 2020)One long-standing characteristic of schools in Norway is inclusive education as a primary goal. The last years, the Norwegian government has emphasised increased parent-school cooperation as a way to limit risks, i.e. of ... -
Health Indicator for Low-speed Axial Bearings using Variational Autoencoders
(Peer reviewed; Journal article, 2020)This paper proposes a method for calculating a health indicator (HI) for low-speed axial rolling element bearing (REB) health assessment by utilizing the latent representation obtained by variational inference using ... -
Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling
(Peer reviewed; Journal article, 2020)Abstract—In graph neural networks (GNNs), pooling operators compute local summaries of input graphs to capture their global properties, and they are fundamental for building deep GNNs that learn hierarchical representations. ... -
Homotopy scattering series for seismic forward modelling with variable density and velocity
(Peer reviewed; Journal article, 2021)We have derived a convergent scattering series solution for the frequency-domain wave equation in acoustic media with variable density and velocity. The convergent scattering series solution is based on the homotopy analysis ... -
Hybrid Iterative Ensemble Smoother for History Matching of Hierarchical Models
(Peer reviewed; Journal article, 2022)The choice of a prior model can have a large impact on the ability to assimilate data. In standard applications of ensemble-based data assimilation, all realizations in the initial ensemble are generated from the same ...