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Universitetet i Bergen
Astrid Marie Skålviks bilde

Astrid Marie Skålvik

Stipendiat
Institutt for fysikk og teknologi
  • E-postastrid.skalvik@uib.no
  • Telefon+47 55 58 28 06
  • Besøksadresse
    Allégaten 55
    5007 Bergen
  • Postadresse
    Postboks 7803
    5020 Bergen
Vitenskapelig artikkel
  • Vis forfatter(e) (2023). Challenges, limitations, and measurement strategies to ensure data quality in deep-sea sensors. Frontiers in Marine Science. 19 sider.
  • Vis forfatter(e) (2022). Framework for effective robust design of building energy systems: Bridging the gap between predicted and actual energy use. E3S Web of Conferences. 1-8.
  • Vis forfatter(e) (2018). Risk-cost-benefit analysis of custody oil metering stations. Flow Measurement and Instrumentation. 201-210.
  • Vis forfatter(e) (2016). Allocation system setup optimization in a cost-benefit perspective. Journal of Petroleum Science and Engineering. 707-717.
  • Vis forfatter(e) (2012). Flow components and initial state CM fluctuations. Acta Physica Polonica B. 803-810.
  • Vis forfatter(e) (2012). Directed flow from global symmetry and initial state Fluctuations. Central European Journal of Physics. 1271-1273.
Rapport
  • Vis forfatter(e) (2015). Evaluering av prediktive målesystemer for NOx utslipp. .
Faglig foredrag
  • Vis forfatter(e) (2020). Challenges in accurate CO2 emission reporting for flares.
  • Vis forfatter(e) (2018). Lessons Learned From Industrial Field Allocation Studies.
  • Vis forfatter(e) (2017). Kvalitet for Olje og Gass.
  • Vis forfatter(e) (2016). Analysis of Field and Ownership Allocation Uncertainty in Complex Multi-Field Configurations.
  • Vis forfatter(e) (2015). A new methodology for cost-benefit-risk analysis of oil metering station lay-outs.
  • Vis forfatter(e) (2014). Uncertainty related to ownership allocation.
Vitenskapelig foredrag
  • Vis forfatter(e) (2023). Workflow for allocation uncertainty analysis.
  • Vis forfatter(e) (2023). Measurement Uncertainty of Non-Stabilized Oil Sample Compositional Analysis Evaluated Using Monte Carlo Methodology.
  • Vis forfatter(e) (2023). A modular Smart Ocean Observatory for sensor and communication development, and surveillance of environmental parameters in and around an aquaculture research facility .
  • Vis forfatter(e) (2021). Influence of fluid compositions and process parameters on allocation uncertainties.
  • Vis forfatter(e) (2020). Where do we stand on flow metering for CO2 handling and storage?
  • Vis forfatter(e) (2017). Systematic bias in pro rata allocation schemes.
  • Vis forfatter(e) (2017). Cost saving metering station maintenance for allocation systems.
Populærvitenskapelig artikkel
  • Vis forfatter(e) (2018). Spesifikasjons- og dokumentasjonskrav som kostnadsdriver på norsk sokkel. Praktisk økonomi & finans. 64-74.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Vis forfatter(e) (2023). Synthesized Data Quality Requirements and Roadmap for Improving Reusability of In-Situ Marine Data. 12 sider.
  • Vis forfatter(e) (2023). Automatic near real-time quality control tests for biofouling effect on measurement data. 8 sider.
  • Vis forfatter(e) (2023). A smart ocean observation system for reliable real-time measurements. 5 sider.
Poster
  • Vis forfatter(e) (2023). A modular Smart Ocean Observatory for sensor and communication development, and surveillance of environmental parameters in and around an aquaculture facility.
  • Vis forfatter(e) (2022). Calibration of Building Performance Simulation (BPS) Models to Measured Data: Selection of Measurement Points and Measurands.

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