Vasily Demyanov

Vasily Demyanov

Heriot-Watt University

H-index: 28

Europe-United Kingdom

About Vasily Demyanov

Vasily Demyanov, With an exceptional h-index of 28 and a recent h-index of 20 (since 2020), a distinguished researcher at Heriot-Watt University,

His recent articles reflect a diverse array of research interests and contributions to the field:

Controls of subsurface fractures on mine water storage efficiency.

A New Automated Workflow for Well Monitoring Using Permanent Pressure and Rate Measurements

Application of Graph Variational Autoencoders for History Matching Problem of Brugge Field

Geological realism in Fluvial facies modelling with GAN under variable depositional conditions

Pre-Trained GAN Conditioning to Acoustic Impedance in Facies Modelling

Review of Different Methods for Identification of Transients in Pressure Measurements by Permanent Downhole Gauges Installed in Wells

Unsupervised Classification of Flow Regime Features in Pressure Transient Responses

GAN River-I: A process-based low NTG meandering reservoir model dataset for machine learning studies

Vasily Demyanov Information

University

Position

___

Citations(all)

2773

Citations(since 2020)

1169

Cited By

1990

hIndex(all)

28

hIndex(since 2020)

20

i10Index(all)

53

i10Index(since 2020)

35

Email

University Profile Page

Heriot-Watt University

Google Scholar

View Google Scholar Profile

Top articles of Vasily Demyanov

Title

Journal

Author(s)

Publication Date

Controls of subsurface fractures on mine water storage efficiency.

Adetomiwa Aderemi

Elli-Maria Christodoulos Charalampidou

Vasily Demyanov

2024/4/24

A New Automated Workflow for Well Monitoring Using Permanent Pressure and Rate Measurements

A Shchipanov

B Cui

V Starikov

K Muradov

A Khrulenko

...

2024/4/17

Application of Graph Variational Autoencoders for History Matching Problem of Brugge Field

G Shishaev

V Demyanov

D Arnold

R Vygon

2023/11/27

Geological realism in Fluvial facies modelling with GAN under variable depositional conditions

Computational Geosciences

Chao Sun

Vasily Demyanov

Daniel Arnold

2023/4

Pre-Trained GAN Conditioning to Acoustic Impedance in Facies Modelling

C Sun

V Demyanov

D Arnold

2023/11/27

Review of Different Methods for Identification of Transients in Pressure Measurements by Permanent Downhole Gauges Installed in Wells

Boyu Cui

Lejun Chen

Nan Zhang

Anton Shchipanov

Vasily Demyanov

...

2023/2/8

Unsupervised Classification of Flow Regime Features in Pressure Transient Responses

V Starikov

V Demyanov

K Muradov

A Shchipanov

2023/11/27

GAN River-I: A process-based low NTG meandering reservoir model dataset for machine learning studies

Data in Brief

Chao Sun

Vasily Demyanov

Daniel Arnold

2023/2/1

Geomechanical reservoir modelling with Thermodynamics-based Artificial Neural Networks (TANNs)

Symposium on Energy Geotechnics 2023

Farah Rabie

Daniel Arnold

Helen Lewis

Vasily Demyanov

2023/10/2

Unsupervised classification applications in enhancing lithological mapping and geological understanding: a case study from Northern Ireland

Journal of the Geological Society

Zeinab Smillie

Vasily Demyanov

Jennifer McKinley

Mark Cooper

2023/7/7

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

Computers & Geosciences

Chao Sun

Vasily Demyanov

Daniel Arnold

2023/12/1

TPMR-A Novel Method for Automated Identification of Well Pressure Transients

Boyu Cui

Nan Zhang

A Shchipanov

C Rong

V Demyanov

2023/6/5

Improving Subsurface Characterisation with ‘Big Data’Mining and Machine Learning

Energies

Rachel E Brackenridge

Vasily Demyanov

Oleg Vashutin

Ruslan Nigmatullin

2022/1/31

Can Agents Model Hydrocarbon Migration for Petroleum System Analysis? A Fast Screening Tool to De-Risk Hydrocarbon Prospects

Energies

Bastian Steffens

Quentin Corlay

Nathan Suurmeyer

Jessica Noglows

Dan Arnold

...

2022/1/26

Factoring in scale effect of core permeability at reservoir simulation modeling

SPE Journal

Ivan Putilov

Nikita Kozyrev

Vasily Demyanov

Sergey Krivoshchekov

Alexandr Kochnev

2022/8/11

Unsupervised deep learning with higher-order total-variation regularization for multidimensional seismic data reconstruction

Geophysics

Thomas André Larsen Greiner

Jan Erik Lie

Odd Kolbjørnsen

Andreas Kjelsrud Evensen

Espen Harris Nilsen

...

2022/3/1

The Importance of Blending Different Data Types to Train Machine Learning Classifiers for Sedimentary Structure Detection

A Nathanail

V Demyanov

D Arnold

A Gardiner

2021/10/18

Can radiometric data improve lithology mapping and geological understanding through unsupervised classification?

Zeinab Smilie

Jennifer McKinley

Vasily Demyanov

Mark Cooper

2021/6/18

Entropy-driven particle swarm optimization for reservoir modelling under geological uncertainty–application to a fractured reservoir

B Steffens

V Demyanov

D Arnold

H Lewis

2021/10/18

Estimating the asphaltene critical nanoaggregation concentration region using ultrasonic measurements and Bayesian inference

Scientific Reports

Aleksandra Svalova

David Walshaw

Clement Lee

Vasily Demyanov

Nicholas G. Parker

...

2021/3/23

See List of Professors in Vasily Demyanov University(Heriot-Watt University)