Browsing NORCE Energi og teknologi by Title
Now showing items 141-160 of 315
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Imbibition with solidification in alumina feeding
(Lecture, 2019) -
Impact of time-dependent wettability alteration on the dynamics of capillary pressure
(Peer reviewed; Journal article, 2020)Wettability is a pore-scale property that has an important impact on capillarity, residual trapping, and hysteresis in porous media systems. In many applications, the wettability of the rock surface is assumed to be constant ... -
Implicit linearization scheme for nonstandard two-phase flow in porous media
(Peer reviewed; Journal article, 2020)In this article, we consider a nonlocal (in time) two‐phase flow model. The nonlocality is introduced through the wettability alteration induced dynamic capillary pressure function. We present a monotone fixed‐point iterative ... -
Importance Weighting in Hybrid Iterative Ensemble Smoothers for Data Assimilation
(Peer reviewed; Journal article, 2024)Because it is generally impossible to completely characterize the uncertainty in com- plex model variables after assimilation of data, it is common to approximate the uncertainty by sampling from approximations of the ... -
Improved algorithms to acquire and process gravity and deformation data
(DigiMon ACT2 (NORCE);D1.9, Research report, 2021)The work presented in this deliverable is part of the efforts to meet the following sub-objectives of the DigiMon project: • Prepare for integration of DigiMon system by developing and lifting individual components of the ... -
Improving hydropower inflow forecasts by assimilating snow data
(Journal article; Peer reviewed, 2020)The study describes the depositional development and sediment partitioning in a prograding paralic Triassic succession. The deposits are associated with the advance of large prism‐scale clinoforms across a shallower platform ... -
Improving predictive models for rate of penetration in real drilling operations through transfer learning
(Peer reviewed; Journal article, 2023)The rate of penetration (ROP) is a key performance indicator in the oil and gas drilling industry as it directly translates to cost savings and emission reductions. A prerequisite for a drilling optimization algorithm is ... -
Improving Sequential Decisions – Efficiently Accounting for Future Learning
(Peer reviewed; Journal article, 2021)In sequential field development planning, past decisions not only directly affect the maximum achievable expected NPV but also influence the future information that can be used to reduce geological uncertainty. To act ... -
Information content in 4D seismic data: Effect of correlated noise
(Peer reviewed; Journal article, 2021)Several types of data used in history matching for subsurface reservoir characterization have errors that are spatially or temporally correlated. Although it is often assumed that correlated observation errors decrease ... -
InSAR Svalbard – User requirements, technical considerations, and product development plan
(Research report, 2024)The InSAR Svalbard development project (2023–2025) is a partnership between the Geological Survey of Norway (NGU) and NORCE Norwegian Research Centre AS, with funding from the Norwegian Space Agency (Post 74, contract ... -
Integrated Approach to Reservoir Simulations for Evaluating Pilot CO<inf>2</inf> Injection in a Depleted Naturally Fractured Oil Field On-Shore Europe
(Journal article; Peer reviewed, 2024)Carbon dioxide capture and storage (CCS) is a necessary requirement for high-emitting CO2 industries to significantly reduce volumes of greenhouse gases released into the atmosphere and mitigate climate change. Geological ... -
Integrated Stress Field Estimation and Implications for Enhanced Geothermal System Development in Acoculco, Mexico
(Journal article; Peer reviewed, 2021)Data gathered from two geothermal exploration wells in the Acoculco caldera, within the Trans-Mexican Volcanic Belt, indicated that temperature is high enough for economic utilization, but permeability is insufficient. ... -
An interactive sequential-decision benchmark from geosteering
(Peer reviewed; Journal article, 2021)During drilling, to maximize future expected production of hydrocarbon resources, the experts commonly adjust the trajectory (geosteer) in response to new insights obtained through real-time measurements. Geosteering ... -
Intrusive generalized polynomial chaos with asynchronous time integration for the solution of the unsteady Navier–Stokes equations
(Journal article; Peer reviewed, 2021)Generalized polynomial chaos provides a reliable framework for many problems of uncertainty quantification in computational fluid dynamics. However, it fails for long-time integration of unsteady problems with stochastic ... -
Investigating the implementation of the safety-diagnosability principle to support defence-in-depth in the nuclear industry: A Fukushima Daiichi accident case study
(Peer reviewed; Journal article, 2021)‘Defence in depth’ (DID) is a fundamental safety principle applied in several industries, including nuclear. The key is to protect safety critical systems by employing multiple layers of protection, i.e. barriers. The ... -
IORSim: A Mathematical Workflow for Field‑Scale Geochemistry Simulations in Porous Media
(Peer reviewed; Journal article, 2024)Reservoir modeling consists of two key components: the reproduction of the historical performance and the prediction of the future reservoir performance. Industry-standard reservoir simulators must run fast on enormous and ... -
Iterative multilevel assimilation of inverted seismic data
(Peer reviewed; Journal article, 2022)In ensemble-based data assimilation (DA), the ensemble size is usually limited to around one hundred. Straightforward application of ensemble-based DA can therefore result in significant Monte Carlo errors, often manifesting ... -
Joint History Matching of Multiple Types of Field Data in a 3D Field-Scale Case Study
(Peer reviewed; Journal article, 2022)This work presents an ensemble-based workflow to simultaneously assimilate multiple types of field data in a proper and consistent manner. The aim of using multiple field datasets is to improve the reliability of estimated ... -
Koherensprodukt fra Sentinel-1
(Research report, 2022)Koherens er en parameter beregna fra målinger av syntetisk aperturradar (SAR), som kan ha stor nytteverdi i analyse av SAR-bilder. Den brukes her til klassifisering og kartlegging av landområder, måldeteksjon og endringsdeteksjon ... -
Kompetansesenter for luftfartbasserte tjenester (KSLT) - Sluttrapport
(Research report, 2020)Dette rapporten oppsummerer gjennomføring og resultater fra prosjektet «kompetansesenter for luftfartsbaserte tjenester», heretter referert til som KSLT. Rapporten oppsummerer viktige resultater og noen av aktivitetene og ...