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• 2021

  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)
• 2020

  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)

• 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

• 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

• 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

• 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

• 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

• 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)

• 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 proceeding › Conference contribution

  • History
  • Polymers
  • histories
  • flooding
  • polymer

• Геологически обоснованная автоматическая адаптациягидродинамических моделей

  Matveev, I., Shishaev, G., Eremyan, G., Demyanov, V., Popova, O., Kaygorodov, S., Belozerov, B., Uzhegova, I., Konoshonkin, D. & Korovin, M., 2020, 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
  2 Citations (Scopus)
• 2019

  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

• 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)

• 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

• 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

• 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

• 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

• 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)

• Reservoir development optimization under uncertainty for infill well placement in brownfield redevelopment

  Hutahaean, J., Demyanov, V. & Christie, M., Apr 2019, In: Journal of Petroleum Science and Engineering. 175, p. 444-464 21 p.

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

  Open Access

  File

  • redevelopment
  • infill
  • decision
  • Uncertainty
  • Recovery
  16 Citations (Scopus)

  170 Downloads (Pure)

• The value of history matching in field development

  Duarte, B., Demyanov, V. & Pereira, L., 3 Jun 2019, 81st EAGE Conference and Exhibition 2019. EAGE Publishing BV

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

  • histories
  • history
  • oil fields
  • Oil fields
  • oil production

• Uncertainty Quantification in Reservoir Prediction: Part 2—Handling Uncertainty in the Geological Scenario

  Demyanov, V., Arnold, D., Rojas, T. & Christie, M., Feb 2019, In: Mathematical Geosciences. 51, 2, p. 241–264 24 p.

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

  Open Access

  File

  • Uncertainty Quantification
  • Scenarios
  • Uncertainty
  • Prediction
  • Work Flow
  8 Citations (Scopus)

  95 Downloads (Pure)

• Uncertainty Quantification in Reservoir Prediction: Part 1—Model Realism in History Matching Using Geological Prior Definitions

  Arnold, D., Demyanov, V., Rojas, T. & Christie, M., Feb 2019, In: Mathematical Geosciences. 51, 2, p. 209-240 32 p.

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

  Open Access

  File

  • History Matching
  • Uncertainty Quantification
  • Work Flow
  • Prediction
  • history
  13 Citations (Scopus)

  132 Downloads (Pure)

• Value of Geologically Derived Features in Machine Learning Facies Classification

  Halotel, J., Demyanov, V. & Gardiner, A., 16 Nov 2019, In: Mathematical Geosciences. p. 1-25 25 p.

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

  Open Access

  File

  • Machine Learning
  • machine learning
  • geological feature
  • Classifier
  • Uncertainty
  3 Citations (Scopus)

  24 Downloads (Pure)
• 2017

  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

• 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)

• 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)

• 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

• Numerical Simulation of Polymer Flooding in a Heterogeneous Reservoir-constrained vs Unconstrained Optimization

  Geiger, S., Arnold, D., Demyanov, V. & Ibiam, E., 12 Jun 2017.

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

  • flooding
  • polymer
  • simulation
  • design flood
  • history

• On optimal selection of objective grouping for multiobjective history matching

  Hutahaean, J. J. J., Demyanov, V. & Christie, M. A., 1 Aug 2017, In: SPE Journal. 22, 4, p. 1296-1312 17 p., SPE-185957-PA.

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

  • conflict
  • history
  • Statistical tests
  • Flow simulation
  • fitness
  10 Citations (Scopus)
• 2016

  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)

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

  Arnold, D., Demyanov, V., Christie, M. A., Bakay, A. & Gopa, K., Oct 2016, In: Computers and Geosciences. 95, p. 123–139 17 p.

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

  Open Access

  File

  • decision making
  • appraisal
  • forecast
  • history
  • simulation
  23 Citations (Scopus)

  177 Downloads (Pure)

• Uncertainty Quantification in Fractured Reservoirs Based on Outcrop Modelling from Northeast Brazil

  Bakay, A., Demyanov, V. & Arnold, D., 11 Apr 2016, 7th EAGE Saint Petersburg International Conference and Exhibition: Understanding the Harmony of the Earth's Resources Through Integration of Geosciences. EAGE Publishing BV

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

  • fracture network
  • outcrop
  • permeability
  • modeling
  • upscaling
  1 Citation (Scopus)
• 2015

  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)

• 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)

• 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

• 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)

• 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

• 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

• 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)

• 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)

• 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)

• 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 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)

• Optimized History Matching with Direct Sequential Image Transforming for Non-Stationary Reservoirs

  Caeiro, M. H., Demyanov, V. & Soares, A., Nov 2015, In: Mathematical Geosciences. 47, 8, p. 975-994 20 p.

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

  • history
  • refining
  • anisotropy
  • methodology
  • dynamic response
  16 Citations (Scopus)

• Produced-water-chemistry history matching in the Janice field

  Vazquez, O., Young, C., Demyanov, V., Arnold, D., Fisher, A., MacMillan, A. & Christie, M., Nov 2015, In: SPE Reservoir Evaluation and Engineering. 18, 4, p. 564-576 13 p.

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

  • water chemistry
  • seawater
  • history
  • shale
  • well
  8 Citations (Scopus)

• Prospectivity evaluation by seismic trace form classification

  Demyanov, V. V., Belozerov, V. B. & Baranov, V. E., 2015, Proceedings of IAMG 2015. International Association for Mathematical Geology (IAMG), p. 626-632 7 p.

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

  • Trace
  • Evaluation
  • evaluation
  • Form
  • Drilling

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

  Kanevski, M. & Demyanov, V., Dec 2015, In: Computers and Geosciences. 85, Part B, p. 1-2 2 p.

  Research output: Contribution to journal › Editorial › peer-review
  3 Citations (Scopus)
• 2014

  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

• 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)

• 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

• 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