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• Accelerating Monte Carlo Markov chains with proxy and error models

  Josset, L., Demyanov, V., Elsheikh, A. H. & Lunati, I., Dec 2015, In: Computers and Geosciences. 85, Part B, p. 38-48 11 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Markov chain
  • Markov processes
  • physical process
  • Physics
  • learning
  13 Citations (Scopus)

  317 Downloads (Pure)

• A consistent stochastic framework to quantify large-scale geological uncertainty in stochastic seismic inversion

  Azevedo, L., Demyanov, V., Lopes, D., Soares, A. & Guerreiro, L., 2019.

  Research output: Contribution to conference › Paper

  • inversion
  • Uncertainty
  • acoustics
  • variogram
  • Acoustic impedance

• 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 journal › Editorial › peer-review
  1 Citation (Scopus)

• Calibration of channelized subsurface flow models using nested sampling and soft probabilities

  Elsheikh, A. H., Demyanov, V., Tavakoli, R., Christie, M. A. & Wheeler, M. F., Jan 2015, In: Advances in Water Resources. 75, p. 14-30 17 p.

  Research output: Contribution to journal › Article › peer-review

  • subsurface flow
  • calibration
  • sampling
  • statistics
  • rate
  11 Citations (Scopus)

• Can machine learning reveal sedimentological patterns in river deposits?

  Demyanov, V., Reesink, A. J. H. & Arnold, D. P., 2019, River to Reservoir: Geoscience to Engineering. Geological Society of London, p. 221-235 15 p. (Geological Society Special Publication; vol. 488).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • machine learning
  • Rivers
  • Deposits
  • Machine learning
  • river
  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 conference › Paper › peer-review

• Challenges and Solutions in Stochastic Reservoir Modelling: Geostatistics, Machine Learning, Uncertainty Prediction

  Demyanov, V. & Arnold, D., May 2018, EAGE Publishing BV. 264 p. (Education Tour Series)

  Research output: Book/Report › Book

  • geostatistics
  • machine learning
  • prediction
  • modeling
  • statistics

• Characterization of flow response uncertainty in naturally fractured reservoirs (NFR) through static properties: Connectivity and heterogeneity

  Belyakova, L., Demyanov, V. & Arnold, D., 12 Jun 2017.

  Research output: Contribution to conference › Paper › peer-review

  • connectivity
  • dynamic models
  • static models
  • Dynamic models
  • Uncertainty

• Controlling the sedimentological realism of deltaic reservoir models by the use of intelligent sedimentological prior information

  Rojas, T. S., Demyanov, V., Christie, M. A. & Arnold, D., Oct 2014, In: First Break. 32, 10, p. 69-74 6 p.

  Research output: Contribution to journal › Article › peer-review

  • geometry
  • statistics
  • meander
  • history
  • parameter

• Development scenario optimization under geological description uncertainty

  Bukhanov, N., Alekhin, I., Demyanov, V. & Baranov, V., 2015, Petroleum Geostatistics 2015. EAGE Publishing BV, p. 358-362 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Scenario Development
  • Scenarios
  • Uncertainty
  • Optimization
  • optimization

• Ensemble history matching enhanced with data analytics - A brown field study

  Tolstukhin, E., Barrela, E., Khrulenko, A., Halotel, J. & Demyanov, V., 2019, 4th EAGE Conference on Petroleum Geostatistics. EAGE Publishing BV, ThPG04

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • History Matching
  • Field Study
  • Data Analytics
  • History
  • Ensemble

• Estimating scale deposition through reservoir history matching in the Janice field

  Vazquez, O., Young, C., Demyanov, V., Arnold, D., Fisher, A., MacMillan, A. & Christie, M. A., Apr 2013, SPE International Symposium on Oilfield Chemistry 2013. Richardson, Texas: Society of Petroleum Engineers, p. 809-820 12 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • seawater
  • history
  • brine
  • sulfate
  • well
  1 Citation (Scopus)

• Estimating scale deposition through reservoir history matching in the Janice field

  Vazquez, O., Young, C., Demyanov, V., Arnold, D., Fisher, A., Macmillan, A. & Christie, M. A., Feb 2014, In: SPE Production and Operations. 29, 1, p. 21-28 8 p.

  Research output: Contribution to journal › Article › peer-review

  • seawater
  • history
  • brine
  • sulfate
  • well
  2 Citations (Scopus)

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

  Svalova, A., Walshaw, D., Lee, C., Demyanov, V., Parker, N. G., Povey, M. J. & Abbott, G. D., 23 Mar 2021, In: Scientific Reports. 11, 6698.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • asphaltene
  • Ultrasonics
  • Petroleum
  • Water
  • Toluene
  2 Downloads (Pure)

• Flow through fractured reservoirs under geological and geomechancial uncertainty

  Steffens, B., Demyanov, V., Couples, G., Arnold, D. & Lewis, H., 3 Jun 2019, 81st EAGE Conference and Exhibition 2019. EAGE Publishing BV

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • fracture network
  • Uncertainty
  • statistics
  • modeling
  • distribution

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

  Demyanov, V., Backhouse, L. J. & Christie, M. A., Dec 2015, In: Computers and Geosciences. 85, Part B, p. 16-25 10 p.

  Research output: Contribution to journal › Article › peer-review

  • geological feature
  • learning
  • Feature extraction
  • history
  • modeling
  13 Citations (Scopus)

• Geologically plausible computer-aided history matching on the example of one the oil fields

  Shishaev, G. Y., Matveev, I. V., Eremyan, G. A., Demyanov, V. V. & Kaygorodov, S. V., Jun 2020, In: Нефтяное хозяйство - Oil Industry. 2020, 6, p. 58-61 4 p.

  Research output: Contribution to journal › Article › peer-review

  • Oil fields
  • Uncertainty
  • Porosity
  • Hydrodynamics
  • Set theory

• Geologically realistic priors for history matching

  Arnold, D., Christie, M. A. & Demyanov, V., Jun 2014, p. 1-5. 5 p.

  Research output: Contribution to conference › Paper

  • History

• Geological Metric Space Description by SVM Classification - Turbidite Reservoir Case Study with Multiple Training Images

  Kuznetsova, A., Demyanov, V. & Christie, M. A., 7 Sep 2015, Petroleum Geostatistics 2015. EAGE Publishing BV, p. 283-287 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • metric space
  • Training
  • turbidite
  • education
  • Metric space

• Geology Driven History Matching

  Matveev, I., Shishaev, G., Eremyan, G., Demyanov, V., Popova, O., Kaygorodov, S., Belozerov, B., Uzhegova, I., Konoshonkin, D. & Korovin, M., 22 Oct 2019, SPE Russian Petroleum Technology Conference 2019. Society of Petroleum Engineers, SPE-196881-MS

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • geology
  • Geology
  • histories
  • history
  • preserve

• Geology realism control in automated history matching

  Matveev, I., Shishaev, G., Eremyan, G., Konoshonkin, D., Demyanov, V. & Kaygorodov, S., 14 Sep 2020, ECMOR XVII. EAGE Publishing BV, p. 1-9 9 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Geology
  • geology
  • history
  • Porosity
  • Uncertainty

• Geostatistical history matching - A zonation-based approach using direct sequential simulation

  Barrela, E., Azevedo, L. & Demyanov, V., 12 Jun 2017.

  Research output: Contribution to conference › Paper › peer-review

  • zonation
  • histories
  • history
  • simulation
  • Knowledge engineering
  5 Citations (Scopus)

• Geostatistical modeling of complex deltaic reservoirs integrating production data through optimized history matching

  Caeiro, M. H., Soares, A. & Demyanov, V., 2015, Abu Dhabi International Petroleum Exhibition and Conference, ADIPEC 2015. Society of Petroleum Engineers, SPE-177813-MS

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Anisotropy
  • history
  • Refining
  • refining
  • anisotropy

• Geostatistical seismic inversion: A review and the road ahead

  Azevedo, L. A., Nunes, R., Soares, A. & Demyanov, V., 11 Jun 2018, 80th EAGE Conference and Exhibition 2018 Workshop Programme. EAGE Publishing BV

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • roads
  • seismic reflection
  • inversions
  • road
  • inversion

• Handling geological uncertainties across model ensembles: A large mature field example

  Hutton, R., Buckle, T., Demyanov, V., Arnold, D., Antropov, A., Kharyba, E., Kostic, M. & Pilipenko, M., Jun 2018, 80th EAGE Conference and Exhibition 2018: Opportunities Presented by the Energy Transition. EAGE Publishing BV

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Lead deposits
  • histories
  • Uncertainty
  • history
  • deposits
  3 Citations (Scopus)

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

  Arnold, D., Demyanov, V., Tatum, D., Christie, M. A., Rojas, T. S., Geiger, S. & Corbett, P. W. M., Jan 2013, In: Computers and Geosciences. 50, p. 4-15 12 p.

  Research output: Contribution to journal › Article › peer-review

  • reservoir characterization
  • history
  • well
  • upscaling
  • prediction
  38 Citations (Scopus)

• Hierarchical geological realism for reliable reservoir prediction

  Kuznetsova, A., Demyanov, V. & Christie, M. A., 31 May 2016, 78th EAGE Conference and Exhibition 2016 . EAGE Publishing BV, p. 1-5

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • metric space
  • coasts
  • Coastal zones
  • predictions
  • turbidite
  1 Citation (Scopus)

• History matching deltaic reservoir models controlled by realistic sedimentological prior information

  Rojas, T. S., Demyanov, V., Christie, M. A. & Arnold, D., Jun 2014, p. 1-5. 5 p.

  Research output: Contribution to conference › Paper

  • history
  • geometry
  • support vector machine
  • forecasting
  • statistics

• How does the definition of the objective function influence the outcome of history matching?

  Eremyan, G., Matveev, I., Shishaev, G., Rukavishnikov, V. & Demyanov, V., 14 Sep 2020, ECMOR XVII. EAGE Publishing BV, p. 1-14 14 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • history
  • comparative study
  • Oil well flooding
  • Hydrocarbons
  • cost

• Impact of Model Parameterisation and Objective Choices on Assisted History Matching and Reservoir Forecasting

  Hutahaean, J. J. J., Demyanov, V. & Christie, M. A., 20 Oct 2015. 20 p.

  Research output: Contribution to conference › Paper

  • parameterization
  • forecasting
  • history
  • forecast
  • encapsulation
  18 Citations (Scopus)

• Improving local history match using machine learning generated regions from production response and geological parameter correlations

  Buckle, T., Hutton, R., Demyanov, V., Arnold, D., Antropov, A., Kharyba, E., Pilipenko, M. & Stulov, L., 2019, 4th EAGE Conference on Petroleum Geostatistics. EAGE Publishing BV, ThPG06

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • machine learning
  • Local History
  • Machine Learning
  • History
  • histories

• Integration of Multi-scale Uncertainty Assessment into Geostatistical Seismic Inversion

  Azevedo, L., Demyanov, V. & Soares, A., 7 Sep 2015, Petroleum Geostatistics 2015. EAGE Publishing BV, Vol. 1. p. 288-292 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Inversion
  • Uncertainty
  • methodology
  • inversions
  • inversion
  2 Citations (Scopus)

• Learning uncertainty from training images for reservoir predictions

  Rojas, T., Demyanov, V., Christie, M. A. & Arnold, D., 8 Oct 2013, Mathematics of Planet Earth . PardoIguzquiza, E., GuardiolaAlbert, C., Heredia, J., MorenoMerino, L., Duran, JJ. & VargasGuzman, JA. (eds.). Berlin: Springer, p. 147-151 5 p. (Lecture Notes in Earth Sciences).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  3 Citations (Scopus)

• 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 proceeding › Conference contribution

  • machine learning
  • Machine learning
  • Uncertainty
  • Spatial distribution
  • trends

• Machine learning methods for reservoir prediction modelling under uncertainty: Tackling multiples scales

  Demyanov, V., Jun 2014, p. 1-2. 2 p.

  Research output: Contribution to conference › Paper

  • machine learning
  • prediction
  • modeling
  • conditioning
  • method

• Many-objective optimization algorithm applied to history matching

  Hutahaean, J. J. J., Demyanov, V. & Christie, M. A., 13 Feb 2017, 2016 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE

  Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

  • history
  • sorting
  • genetic algorithm
  • petroleum industry
  • particle
  9 Citations (Scopus)

• Microbial carbonates: a sampling and measurement challenge for petrophysics addressed by capturing the bioarchitectural components

  Corbett, P. W. M., Yuji Hayashi, F., Saad Alves, M., Jiang, Z., Wang, H., Demyanov, V., Machado, A., Borghi, L. & Srivastava, N., 2015, Microbial Carbonates in Space and Time: Implications for Global Exploration and Production: Special Publication. Bosence, D., Gibbons, K., Le Heron, D., Morgan, W., Pritchard, T. & Vining, B. (eds.). London: Geological Society of London, Vol. 418.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review
  9 Citations (Scopus)

• Modelling Uncertainties of Non-stationary Fractured Reservoirs

  Looi, L., Arnold, D., Demyanov, V., Lewis, H. & Anupam, A., 12 Jun 2017.

  Research output: Contribution to conference › Paper › peer-review

  • Uncertainty
  • modeling
  • Geomechanics
  • geomechanics
  • histories

• Model selection for error generalization in history matching

  Nezhad Karim Nobakht, B., Christie, M. & Demyanov, V., 2018, SPE Europec featured at 80th EAGE Conference and Exhibition 2018. Society of Petroleum Engineers, SPE-190778-MS

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • history
  • prediction
  • Linear regression
  • Oils
  • learning
  2 Citations (Scopus)

• Multi-objective history matching of a deltaic reservoir with non-stationary geostatistical modelling

  Da Silva Caetano Caeiro, M. H., Demyanov, V. & Soares, A., 8 Sep 2014.

  Research output: Contribution to conference › Paper › peer-review

  • Multiobjective optimization
  • Anisotropy
  • history
  • anisotropy
  • modeling
  3 Citations (Scopus)

• 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 journal › Article › peer-review

  • experimental design
  • geothermal system
  • development planning
  • geothermal energy
  • trade-off
  3 Citations (Scopus)

• Multiscale geostatistical history matching using block direct sequential simulation

  Marques, C., Azevedo, L., Demyanov, V., Soares, A. & Christie, M., 7 Sep 2015, Petroleum Geostatistics 2015. EAGE Publishing BV, Vol. 1. p. 123-127 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • History Matching
  • histories
  • Simulation
  • history
  • static models
  2 Citations (Scopus)

• Multi-scale modelling stromatolite deposits with a kernel learning approach

  Demyanov, V., Corbett, P. W. M. & Saad, M., Jun 2014, p. 1-5. 5 p.

  Research output: Contribution to conference › Paper

  • Deposits
  • Biodiversity
  • Uncertainty
  • Carbonates
  • Porosity

• Multi-scale uncertainty assessment for geostatistical seismic inversion

  Azevedo, L., Demyanov, V., Focaccia, S. & Soares, A., 7 Apr 2014, p. 1-5. 5 p.

  Research output: Contribution to conference › Paper

  • inversion
  • methodology
  • variogram
  • inverse problem
  • perturbation

• Multi-scale uncertainty assessment for geostatistical seismic inversion

  Azevedo, L., Demyanov, V., Focaccia, S. & Soares, A., 1 Jan 2014, 6th Saint Petersburg International Conference and Exhibition on Geosciences 2014: Investing in the Future. EAGE Publishing BV, p. 690-694 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • inversion
  • Uncertainty
  • methodology
  • variogram
  • Probability distributions

• Multi-Scale Uncertainty Assessment for Geostatistical Seismic Inversion

  Azevedo, L., Demyanov, V. & Soares, A., 2015, SEG Technical Program Expanded Abstracts 2015. Schneider, R. V. (ed.). Society of Exploration Geophysicists, p. 2816-2820 5 p. (SEG Technical Program Expanded Abstracts).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • inversion
  • methodology
  • variogram
  • inverse problem
  • parameter
  2 Citations (Scopus)

• Multiscale uncertainty assessment in geostatistical seismic inversion

  Azevedo, L. & Demyanov, V., May 2019, In: Geophysics. 84, 3, p. R355-R369 15 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • inversion
  • Uncertainty
  • parameter
  • Spatial distribution
  • simulation
  2 Citations (Scopus)

  31 Downloads (Pure)

• Numerical Simulation of Polymer Flooding in a Heterogeneous Reservoir: Constarained versus Unconstrained Optimization

  Ibiam, E., Geiger, S., Almaqbali, A., Demyanov, V. & Arnold, D., 2018, SPE Nigeria Annual International Conference and Exhibition 2018. Society of Petroleum Engineers, SPE-193400-MS

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Polymers
  • flooding
  • polymer
  • Computer simulation
  • Water
  1 Citation (Scopus)

• Numerical simulation of polymer flooding in a heterogeneous reservoir - Constrained vs unconstrained optimization

  Ibiam, E., Geiger, S., Arnold, D. & Demyanov, V., 11 Jun 2018, 80th EAGE Conference and Exhibition 2018. EAGE Publishing BV, p. 1-5 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Polymers
  • flooding
  • polymer
  • optimization
  • polymers

• Numerical Simulation of Polymer Flooding in a Heterogeneous Reservoir - Constrained Vs Unconstrained Optimization

  Ibiam, E., Geiger, S., Arnold, D. & Demyanov, V., 11 Jun 2018.

  Research output: Contribution to conference › Paper › peer-review

  • flooding
  • polymer
  • simulation
  • design flood
  • history