Vasiliy V. Demyanov

According to our database, Vasiliy V. Demyanov authored at least 12 papers between 1997 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

A conditional GAN-based approach to build 3D facies models sequentially upwards.

Chao Sun, Vasiliy V. Demyanov, Daniel B. Arnold

Comput. Geosci., December, 2023

2016

Optimisation of decision making under uncertainty throughout field lifetime: A fractured reservoir example.

Dan Arnold, Vasily V. Demyanov, Mike Christie, Alexander Bakay, Konstantin Gopa

Comput. Geosci., 2016

Many-objective optimization algorithm applied to history matching.

Junko Hutahaean, Vasily V. Demyanov, Mike Christie

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

2015

Statistical learning in geoscience modelling: Novel algorithms and challenging case studies.

Mikhail F. Kanevski, Vasiliy V. Demyanov

Comput. Geosci., 2015

Accelerating Monte Carlo Markov chains with proxy and error models.

Laureline Josset, Vasily V. Demyanov, Ahmed H. Elsheikh, Ivan Lunati

Comput. Geosci., 2015

Geological feature selection in reservoir modelling and history matching with Multiple Kernel Learning.

Vasily V. Demyanov, L. Backhouse, Mike Christie

Comput. Geosci., 2015

2013

Hierarchical benchmark case study for history matching, uncertainty quantification and reservoir characterisation.

Dan Arnold, Vasily V. Demyanov, D. Tatum, Mike Christie, T. Rojas, Sebastian Geiger, P. Corbett

Comput. Geosci., 2013

2011

Comparison of Evolutionary and Swarm Intelligence Methods for History Matching and Uncertainty Quantification in Petroleum Reservoir Models.

Yasin Hajizadeh, Vasily V. Demyanov, Linah Mohamed, Mike Christie

Proceedings of the Intelligent Computational Optimization in Engineering, 2011

2006

Uncertainty quantification for porous media flows.

Mike Christie, Vasily V. Demyanov, Demet Erbas

J. Comput. Phys., 2006

2004

Environmental data mining and modeling based on machine learning algorithms and geostatistics.

Mikhail F. Kanevski, Roman Parkin, Aleksey Pozdnukhov, Vadim Timonin, Michel Maignan, Vasiliy V. Demyanov, Stéphane Canu

Environ. Model. Softw., 2004

2000

Application of MLP and stochastic simulations for electricity load forecasting in Russia.

Elena Savelieva, Alexey Kravetski, Sergey Chernov, Vasiliy V. Demyanov, Vadim Timonin, Rafael V. Arutyunyan, Leonid Aleksandrovich Bolshov, Mikhail F. Kanevski

Proceedings of the 8th European Symposium on Artificial Neural Networks, 2000

1997

Mapping of Soil Contamination by Using Artificial Neural Networks and Multivariate Geostatistics.

Mikhail F. Kanevski, Vasiliy V. Demyanov, Michel Maignan

Proceedings of the Artificial Neural Networks, 1997