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Personal profile

Research interests

My research interests lie broadly across spatial statistics, machine learning and uncertainty.

In particular my research is focused on:

  • uncertainty quantification in prediction modelling
  • inverse modelling for history matching
  • stochastic optimisation
  • Bayesian inference.
  • advance geostatistical techniques, such as multi-points statistics, and the problem of integration of relevant domain knowledge and data into statistical models.
  • machine learning and data mining approaches for reservoir modelling and uncertainty quantification. 

I lecture geostatistics to MSc students and also at IPE summer schools and EAGE educational days. I am a co-author of over 50 publications, including books: Geostatistics: Theory and Practice (Nauka, 2010, in Russian), Advanced Mapping of Environmental Data – Geostatistics, Machine Learning and Bayesian Maximum Entropy (Wiley, 2008).

Graduated Studen

International Research ts:

Collaboration:

  • University of Lausanne, Switzerland: Prof M. Kanevski, Prof. I. Lunati, L. Josset, Prof. M. Maignan
  • CERENA, Institute Superior Technico, Lisbon, Portugal: Prof. A. Soares, Dr L. Azevedo,Dr. S. Focaccia, M.-H. Caeiero.
  • Gubkin Oil and Gas University (Moscow, Russia)
  • Tomsk Polytechnic University, Russia.
  • Dr. E. Savelieva (Nuclear Safety Institute, Moscow, Russia)
  • Prof. J. Caers, Stanford University, USA
  • Prof. George Christakos
  • Marc Serre, University of Chapel Hill, USA

Biography

2003: I joined Heriot-Watt University and was later promoted to Research Fellow and then to a Lecturer.

2000-2002: Post-doc on population dynamics modelling, University of St Andrews, Mathematical Institute,.

1998: IPhD degree in physics and mathematics from Russian Academy of Sciences (Nuclear Safety Institute)

Thesis on radioactive pollution modelling with geostatistics and artificial neural network.

1994: My first degree is in physics from Moscow State University. Thesis on atmospheric pollution transport modelling.

As an Associate Editor of Computers and Geosciences journal I acquire contributions bridging geoscience problems and advances in soft computing.

I am a member of the International Association for Mathematical Geosciences (IAMG) and European Association of Geoscientists and Engineers (EAGE).

I was a convener of the Machine learning session at Annual IAMG meetings in 2009 and 2013 and also a member of the scientific committees for a number of geostatistical and geosciences conferences.

Keywords

  • QC Physics
  • uncertainty
  • machine learning
  • statistics
  • geostatistics
  • optimisation
  • Bayesian
  • prediction modelling
  • petroleum
  • geoscience
  • environmental mapping

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Research Output

A Special Issue on Data Science for Geosciences

Demyanov, V., Gloaguen, E. & Kanevski, M., Jan 2020, In : Mathematical Geosciences. 52, 1, p. 1-3 3 p.

Research output: Contribution to journalEditorial

1 Citation (Scopus)

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

Smillie, Z., Demyanov, V., McKinley, J. & Cooper, M., 15 Mar 2020, (Accepted/In press).

Research output: Contribution to conferencePaper

Machine Learning Clustering of Reservoir Heterogeneity with Petrophysical and Production Data

Konoshonkin, D., Shishaev, G., Matveev, I., Volkova, A., Rukavishnikov, V., Demyanov, V. & Belozerov, B., 2020, SPE Europec Featured at 82nd EAGE Conference and Exhibition. Society of Petroleum Engineers, SPE-200614-MS

Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Multi-objective optimization under uncertainty of geothermal reservoirs using experimental design-based proxy models

    Schulte, D. O., Arnold, D., Geiger, S., Demyanov, V. & Sass, I., Jul 2020, In : Geothermics. 86, 101792.

    Research output: Contribution to journalArticle

  • Optimisation of Polymer Flooding in a Heterogeneous Reservoir Considering Geological and History Matching Uncertainties

    Ibiam, E., Geiger, S., Demyanov, V. & Arnold, D., 2020, SPE Europec Featured at 82nd EAGE Conference and Exhibition. Society of Petroleum Engineers, SPE-200568-MS

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Press / Media