Nikolai Andrianov

Phone+45 91333488
Emailniageusdk

Øster Voldgade 10
1350 Copenhagen K
Denmark

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9 Conference article in proceedings
6 Article
3 Conference article in journal
2 Paper at conference

An integrated approach to characterize fliud-rock interactions during CO₂ injection
Andrianov, N., Mohammadkhani, S., Olsen, D. & Schovsbo, N. H., 2022, 83rd EAGE Conference and Exhibition 2022. European Association of Geoscientists and Engineers, Vol. 3. p. 2214-2218 5 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › peer-review
Machine learning of dual porosity model closures from discrete fracture simulations
Andrianov, N. & Nick, H. M., Jan 2021, In: Advances in Water Resources. 147, 17 p., 103810.
Research output: Contribution to journal › Article › Research › peer-review
7 Citations (Scopus)
Testing CO₂ compatibility of a glauconitic reservoir: Case study from depleted Nini Field, Danish North Sea
Mohammadkhani, S., Olsen, D., Holmslykke, H. D., Lorentzen, H. J., Weibel, R., Andrianov, N. & Schovsbo, N. H., 2021, 82nd EAGE Conference and Exhibition 2021. European Association of Geoscientists and Engineers, p. 3913-3917 5 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › peer-review
1 Citation (Scopus)
Upscaling of realistic discrete fracture simulations using machine learning
Andrianov, N., 2021, Society of Petroleum Engineers - SPE Reservoir Simulation Conference 2021, RSC 2021. Society of Petroleum Engineers, (Society of Petroleum Engineers - SPE Reservoir Simulation Conference 2021, RSC 2021).
Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › peer-review
1 Citation (Scopus)
Learning the matrix-fractures transfer rate using a convolutional neural network
Andrianov, N. & Nick, H. M., 2020.
Research output: Contribution to conference › Paper at conference › peer-review

Nikolai Andrianov

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An integrated approach to characterize fliud-rock interactions during CO₂ injection

Machine learning of dual porosity model closures from discrete fracture simulations

Testing CO₂ compatibility of a glauconitic reservoir: Case study from depleted Nini Field, Danish North Sea

Upscaling of realistic discrete fracture simulations using machine learning

Learning the matrix-fractures transfer rate using a convolutional neural network

Nikolai Andrianov

Fingerprint

Network

Research output

An integrated approach to characterize fliud-rock interactions during CO2 injection

Machine learning of dual porosity model closures from discrete fracture simulations

Testing CO2 compatibility of a glauconitic reservoir: Case study from depleted Nini Field, Danish North Sea

Upscaling of realistic discrete fracture simulations using machine learning

Learning the matrix-fractures transfer rate using a convolutional neural network

An integrated approach to characterize fliud-rock interactions during CO₂ injection

Testing CO₂ compatibility of a glauconitic reservoir: Case study from depleted Nini Field, Danish North Sea