Blar i NORCE Energi og teknologi på tittel
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DAS dataset suitable for microseismic and ANI analysis
(ACT DigiMon (NORCE);D1.2, Research report, 2020)Deliverable 1.2 concerns a DAS dataset suitable for microseismic and ambient noise interferometry (ANI). For this deliverable the DAS field dataset of FORGE is recommended. FORGE is the Frontier Organization For Research ... -
DAS field dataset to compare technologies and deployment scenarios
(ACT DigiMon (NORCE);D1.1., add. 2, Research report, 2021)This report describes a Distributed Acoustic Sensor (DAS) dataset acquired by DigiMon partners at the Containment and Monitoring Institute’s (CaMI) Field Research Station (FRS), Canada, between 6th to 10th September 2021. ... -
DAS field dataset to compare technologies and deployment scenarios – Antarctica Dataset
(ACT DigiMon (NORCE);D1.1, add.. 1, Research report, 2020)This report describes a Distributed Acoustic Sensing (DAS) dataset acquired by the British Antarctic Survey (BAS) and the University of Oxford in Antarctic during 2020. The field dataset contributes to the Deliverable D1.1 ... -
DAS Preprocessing Workflow
(ACT DigiMon (NORCE);D1.4, Research report, 2020)This report addresses deliverable D1.4 of the DigiMon project, which covers the preprocessing workflow for datasets acquired by Distributed Acoustic Systems (DAS). The workflow seeks to capture the key stages required to ... -
DAS Processing Algorithms
(ACT DigiMon (NORCE);D1.5, Research report, 2021)This report addresses deliverable D1.5 of the DigiMon project, which covers processing algorithms for Distributed Acoustic Systems (DAS) datasets that are contained within a python library called DASpy. The objective of ... -
DAS Processing Workflow
(ACT DigiMon (NORCE);D1.6, Research report, 2021) -
DAS synthetic dataset
(ACT DigiMon (NORCE);D1.3, Research report, 2020)Deliverable D1.3 of the ACT DigiMon project is a synthetic microseismic distributed acoustic sensins (DAS) dataset. There are a number of possible uses for such a dataset; for example supporting the development and testing ... -
Data assimilation with multiple types of observation boreholes via the ensemble Kalman filter embedded within stochastic moment equations
(Peer reviewed; Journal article, 2021)We employ an approach based on the ensemble Kalman filter coupled with stochastic moment equations (MEs-EnKF) of groundwater flow to explore the dependence of conductivity estimates on the type of available information ... -
Data assimilation with soft constraints (DASC) through a generalized iterative ensemble smoother
(Peer reviewed; Journal article, 2022)This work investigates an ensemble-based workflow to simultaneously handle generic, nonlinear equality and inequality constraints in reservoir data assimilation problems. The proposed workflow is built upon a recently ... -
Data from lab-scale experiments of fibre optic vibration measurement
(ACT DigiMon (NORCE);D1.1, add. 4, Research report, 2022)Understanding the exact nature of the coupling of the optical fiber in response to seismic waves in a variety of settings is key to quantitative interpretation and modelling of seismic data recorded by Distributed Acoustic ... -
Deep learning for graphs
(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
(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 ... -
Detection of lameness and mastitis pathogens in milk using visual and olfactory sensing
(Research report, 2020)The objective of this project is to investigate feasibility of visual combined with olfactory sensing and multimodal collaborative intelligence for the perception of diseases, especially the contagious ones, among a ... -
Diagnostics of seal and rod degradation in hydraulic cylinders using acoustic emissions
(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
(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 ... -
DigiMon Final Report
(ACT DigiMon (NORCE);D4.9, Research report, 2023)"DigiMon Final Report” summarizes the ACT DigiMon project. The overall objective of the DigiMon project was to “accelerate the implementation of CCS by developing and demonstrating an affordable, flexible, societally ... -
Digital Monitoring of Co2 Storage Projects (Digimon)
(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 ... -
DigiTrans kortrapport: Studentenes opplevelse av studiesituasjonen under nedstengingene av UiB høsten 2020
(Research report, 2021)Universitetet i Bergen (UiB) måtte høsten 2020 igjen stenge tilgangen til «campus» for sine studenter for å hindre spredningen av koronaviruset på grunn av den pågående pandemisituasjonen. For de fleste studentene ble ... -
Dimensional reduction of a fractured medium for a polymer EOR model
(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
(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 ...