Browsing NORCE Energi og teknologi by Title
Now showing items 232-251 of 347
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p-Kernel Stein Variational Gradient Descent for Data Assimilation and History Matching
(Journal article; Peer reviewed, 2021)A Bayesian method of inference known as “Stein variational gradient descent” was recently implemented for data assimilation problems, under the heading of “mapping particle filter”. In this manuscript, the algorithm is ... -
Participatory Design of VR Scenarios for Exposure Therapy
(Chapter, 2019)Virtual reality (VR) applications for exposure therapy predominantly use computer-generated imagery to create controlled environments in which users can be exposed to their fears. Creating 3D animations, however, is demanding ... -
Patient use and experience with online access to electronic health records in Norway: Results from an online survey
(Peer reviewed; Journal article, 2020)Background: The electronic health record (EHR) has been fully established in all Norwegian hospitals. Patient-accessible electronic health records (PAEHRs) are available to citizens aged 16 years and older through the ... -
The Performance of Distributed Acoustic Sensing for Tracking the Movement of Road Vehicles
(Journal article; Peer reviewed, 2023)In this paper we introduce Distributed Acoustic Sensing (DAS) and discuss its potential application in Intelligent Transportation Systems (ITS). We present the fundamentals of the technology and data processing methods ... -
Performance study and life-cycle cost analysis of a ground-source heat-pump system in a commercial building in Norway
(Peer reviewed; Journal article, 2022)High-performance systems are a prerequisite for profitable borehole thermal-energy storage. This paper presents performance measures for a system operating at a seasonal performance factor of 4.5 and evaluates the life-cycle ... -
Perfusion estimation using synthetic MRI-based measurements and a porous media flow model
(Peer reviewed; Journal article, 2023)The measurement of perfusion and filtration of blood in biological tissue give rise to important clinical parameters used in diagnosis, follow-up, and therapy. In this paper, we address techniques for perfusion analysis ... -
Periodic CO2 Injection for Improved Storage Capacity and Pressure Management under Intermittent CO2 Supply
(Peer reviewed; Journal article, 2022)Storing CO2 in geological formations is an important component of reducing greenhouse gases emissions. The Carbon Capture and Storage (CCS) industry is now in its establishing phase, and if successful, massive storage ... -
Permafrost in monitored unstable rock slopes in Norway-New insights from temperature and surface velocity measurements, geophysical surveying, and ground temperature modelling
(Peer reviewed; Journal article, 2022)The warming and subsequent degradation of mountain permafrost within alpine areas represent an important process influencing the stability of steep slopes and rock faces. The unstable and monitored slopes of Mannen (Møre ... -
Petroleum, coal and research drilling onshore Svalbard: a historical perspective
(Peer reviewed; Journal article, 2019)The beginning of the Norwegian oil industry is often attributed to the first exploration drilling in the North Sea in 1966, the first discovery in 1967 and the discovery of the supergiant Ekofisk field in 1969. However, ... -
Pipe Viscometer for Continuous Viscosity and Density Measurement of Oil Well Barrier Materials
(Peer reviewed; Journal article, 2023)The barrier material is a crucial component for wells, as it provides mechanical support to the casing and prevents the uncontrolled flow of formation fluids, ensuring zonal isolation. One of the essential prerequisites ... -
Polymer Injectivity Test Design Using Numerical Simulation
(Peer reviewed; Journal article, 2020)Polymer flooding is an enhanced oil recovery (EOR) process, which has received increasing interest in the industry. In this process, water-soluble polymers are used to increase injected water viscosity in order to improve ... -
Pore-scale modelling of three-phase capillary pressure curves directly in uniformly wet rock images
(Journal article; Peer reviewed, 2021)In this work, we developed a semianalytical model to compute three-phase capillary pressure curves and associated fluid configurations for gas invasion in uniformly wet rock images. The fluid configurations and favorable ... -
Post-Processing Air Temperature Weather Forecast Using Artificial Neural Networks with Measurements from Meteorological Stations
(Peer reviewed; Journal article, 2022)Human beings attempt to accurately predict the weather based on their knowledge of climate. The Norwegian Meteorological Institute is responsible for climate-related matters in Norway, and among its contributions is the ... -
Practical approaches to study microbially induced calcite precipitation at the field scale
(Journal article; Peer reviewed, 2021)Microbially induced calcite precipitation (MICP) is a new and sustainable technology which utilizes biochemical processes to create barriers by calcium carbonate cementation; therefore, this technology has a potential to ... -
Precise Method to Estimate the Herschel-Bulkley Parameters from Pipe Rheometer Measurements
(Journal article; Peer reviewed, 2021)Accurate characterization of the rheological behavior of non-Newtonian fluids is critical in a wide range of industries as it governs process efficiency, safety, and end-product quality. When the rheological behavior of ... -
Predicting Motion Patterns Using Optimal Paths
(Peer reviewed; Journal article, 2021)The ability to navigate safely and efficiently through a given landscape is relevant for any intelligent moving object. Examples range from robotic science and traffic analysis, to the behavior within an ecosystem. Many ... -
Predictive Capability of WRF Cycling 3DVAR: LiDAR Assimilation at FINO1
(Peer reviewed; Journal article, 2021)In this study, we assess tentatively the predictive capability of the Weather Research and Forecasting (WRF) model and its Three-Dimensional Variational (3DVAR) system. We study the impact of LiDAR data assimilation on ... -
Probabilistic model-error assessment of deep learning proxies: an application to real-time inversion of borehole electromagnetic measurements
(Peer reviewed; Journal article, 2022)The advent of fast sensing technologies allow for real-time model updates in many applications where the model parameters are uncertain. Once the observations are collected, Bayesian algorithms offer a pathway for real-time ... -
Project report and algorithms for integrated inversion of individual DigiMon data components
(DigiMon ACT2 (NORCE);D2.5, Research report, 2022)Different data types carry different information about the subsurface, so there should be advantages in combining information from different data types when seeking to infer subsurface properties such as changes in CO2 ... -
Project report and algorithms for optimizing acquisition layout and frequency
(ACT DigiMon (NORCE);D2.7, Research report, 2022)D2.7. Project report and algorithms for optimizing acquisition layout and frequency. We evaluate the capability of 3D finite difference codes to model Distributed Acoustic Sensors (DAS) at reservoir scale for monitoring ...