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Nikolai Andrianov

GEUS - Geological Survey Of Denmark And Greenland

Øster Voldgade 10

Copenhagen

DK-1350

Denmark

SCHOLARLY PAPERS

3

DOWNLOADS

281

TOTAL CITATIONS

0

Scholarly Papers (3)

1.

Extended abstract: The ConsenCUS Project: Carbon Neutral clusters by Electricity-based Innovations in Capture, Utilisation and Storage

Proceedings of the 16th Greenhouse Gas Control Technologies Conference (GHGT-16) 23-24 Oct 2022
Number of pages: 6 Posted: 09 Dec 2022
Technical University of Denmark - Department of Chemical Engineering, Wetsus, European Centre of Excellence for Sustainable Water Technology, GEUS - Geological Survey Of Denmark And Greenland, Technical University of Denmark - Department of Chemical Engineering, New Energy Coalition, Coval Energy, Wetsus, European Centre of Excellence for Sustainable Water Technology, New Energy Coalition and Technical University of Denmark
Downloads 129 (565,439)

Abstract:

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Carbon Capture Demonstration, H2020 EU projects, Carbon Neutral Clusters, CCUS Demonstration Projects

2.

Characterization of brine-CO2-rock interactions by inverse modelling – A case study from the Nini field, Danish North Sea

Proceedings of the 16th Greenhouse Gas Control Technologies Conference (GHGT-16) 23-24 Oct 2022
Number of pages: 11 Posted: 16 Nov 2022
Nikolai Andrianov, Samira Mohammadkhani and Dan Olsen
GEUS - Geological Survey Of Denmark And Greenland, Geological Survey of Denmark and Greenland and GEUS
Downloads 88 (771,553)

Abstract:

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relative permeability, capillary pressure, uncertainty assessment, non-linear optimization, flow modelling.

3.

Uncertainty Quantification of CO2-Brine Saturation Functions from Experimental Data

Proceedings of the 17th Greenhouse Gas Control Technologies Conference (GHGT-17) 20-24 October 2024
Number of pages: 6 Posted: 06 Jan 2025
Nikolai Andrianov, Samira Mohammadkhani and Behzad Rostami
GEUS - Geological Survey Of Denmark And Greenland, Geological Survey of Denmark and Greenland and Geological Survey of Denmark and Greenland
Downloads 64 (933,592)

Abstract:

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relative permeability, capillary pressure, machine learning, Bayesian framework, flow modelling