Our Papers

A conditional GAN-based approach to build 3D facies models sequentially upwards
Sun, C., Demyanov, V. & Arnold, D., Dec 2023, In: Computers and Geosciences. 181, 105460.
Research output: Contribution to journal › Article › peer-review
Unsupervised classification applications in enhancing lithological mapping and geological understanding: a case study from Northern Ireland
Smillie, Z., Demyanov, V., McKinley, J. & Cooper, M., 7 Jul 2023, In: Journal of the Geological Society. 180, 4, jgs2022-136.
Research output: Contribution to journal › Article › peer-review
TPMR - A Novel Method for Automated Identification of Well Pressure Transients
Cui, B., Zhang, N., Shchipanov, A., Rong, C. & Demyanov, V., 5 Jun 2023, p. 1-5. 5 p.
Research output: Contribution to conference › Paper › peer-review
Geological realism in Fluvial facies modelling with GAN under variable depositional conditions
Sun, C., Demyanov, V. & Arnold, D., Apr 2023, In: Computational Geosciences. 27, 2, p. 203-221 19 p.
Research output: Contribution to journal › Article › peer-review
Review of Different Methods for Identification of Transients in Pressure Measurements by Permanent Downhole Gauges Installed in Wells
Cui, B., Chen, L., Zhang, N., Shchipanov, A., Demyanov, V. & Rong, C., 8 Feb 2023, In: Energies. 16, 4, 1689.
Research output: Contribution to journal › Article › peer-review
GAN River-I: A process-based low NTG meandering reservoir model dataset for machine learning studies
Sun, C., Demyanov, V. & Arnold, D., Feb 2023, In: Data in Brief. 46, 108785.
Research output: Contribution to journal › Article › peer-review
History Matching and Uncertainty Quantification of Reservoir Performance With Generative Deep Learning and Graph Convolutions
Shishaev, G., Demyanov, V., Arnold, D. & Vygon, R., Sept 2022, European Conference on the Mathematics of Geological Reservoirs 2022. EAGE Publishing BV, p. 1-9 9 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Factoring in Scale Effect of Core Permeability at Reservoir Simulation Modeling
Putilov, I., Kozyrev, N., Demyanov, V., Krivoshchekov, S. & Kochnev, A., 11 Aug 2022, In: SPE Journal. 27, 4, p. 1930-1942 13 p.
Research output: Contribution to journal › Article › peer-review
Can Agents Model Hydrocarbon Migration for Petroleum System Analysis? A Fast Screening Tool to De-Risk Hydrocarbon Prospects
Steffens, B., Corlay, Q., Suurmeyer, N., Noglows, J., Arnold, D. & Demyanov, V., 1 Feb 2022, In: Energies. 15, 3, 902.
Research output: Contribution to journal › Article › peer-review
Improving Subsurface Characterisation with ‘Big Data’ Mining and Machine Learning
Brackenridge, R. E., Demyanov, V., Vashutin, O. & Nigmatullin, R., 1 Feb 2022, In: Energies. 15, 3, 1070.
Research output: Contribution to journal › Article › peer-review
Unsupervised deep learning with higher-order total-variation regularization for multidimensional seismic data reconstruction
Greiner, T. A. L., Lie, J. E., Kolbjørnsen, O., Evensen, A. K., Nilsen, E. H., Zhao, H., Demyanov, V. & Gelius, L. J., 12 Nov 2021, (E-pub ahead of print) In: Geophysics.
Research output: Contribution to journal › Article › peer-review
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
Optimization of polymer flooding in a heterogeneous reservoir considering geological and history matching uncertainties
Ibiam, E., Geiger, S., Demyanov, V. & Arnold, D., 10 Feb 2021, In: SPE Reservoir Evaluation and Engineering. 24, 1, p. 19-36 18 p.
Research output: Contribution to journal › Article › peer-review
GAN learning complex fluvial facies distribution from process-based modelling
Sun, C., Demyanov, V. & Arnold, D., 2021, 82nd EAGE Conference and Exhibition 2021. EAGE Publishing BV, Vol. 7. p. 5268-5272 5 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Entropy-driven particle swarm optimization for reservoir modelling under geological uncertainty – application to a fractured reservoir
Steffens, B., Demyanov, V., Arnold, D. & Lewis, H., 2021, 82nd EAGE Conference and Exhibition 2021. EAGE Publishing BV, Vol. 7. p. 5649-5653 5 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Comparison of popular Generative Adversarial Network flavours for fluvial reservoir modelling
Sun, C., Demyanov, V. & Arnold, D., 2021, 82nd EAGE Conference and Exhibition 2021. EAGE Publishing BV, Vol. 7. p. 5283-5287 5 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
The Importance of Blending Different Data Types to Train Machine Learning Classifiers for Sedimentary Structure Detection
Nathanail, A., Demyanov, V., Arnold, D. & Gardiner, A., 2021, 82nd EAGE Conference and Exhibition 2021. EAGE Publishing BV, Vol. 7. p. 5203-5207 5 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Optimisation of Polymer Flooding in a Heterogeneous Reservoir Considering Geological and History Matching Uncertainties
Ibiam, E., Geiger, S., Demyanov, V. & Arnold, D., 1 Dec 2020, SPE Europec 2020. Society of Petroleum Engineers, SPE-200568-MS
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Geology realism control in automated history matching
Matveev, I., Shishaev, G., Eremyan, G., Konoshonkin, D., Demyanov, V. & Kaygorodov, S., 14 Sept 2020, ECMOR XVII. EAGE Publishing BV, p. 1-9 9 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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 Sept 2020, ECMOR XVII. EAGE Publishing BV, p. 1-14 14 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
An optimization method for the assisted history matching (AHM) process using the gradient boosting approach
Melnikov, M., Shishaev, G., Matveev, I., Eremyan, G., Demyanov, V., Bukhanov, N. & Belozerov, B., Sept 2020, EAGE/AAPG Digital Subsurface for Asia Pacific Conference 2020. EAGE Publishing BV, p. 1-3 3 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference 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 journal › Article › 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
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
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
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
Геологически обоснованная автоматическая адаптациягидродинамических моделей
Translated title of the contribution: Geology driven history matchingMatveev, 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
Value of Geologically Derived Features in Machine Learning Facies Classification
Halotel, J., Demyanov, V. & Gardiner, A., 16 Nov 2019, (E-pub ahead of print) In: Mathematical Geosciences. p. 1-25 25 p.
Research output: Contribution to journal › Article › peer-review
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
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
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
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
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
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
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
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
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
Coupling geologically consistent geostatistical history matching with parameter uncertainty quantification
Barrela, E., Demyanov, V. & Azevedo, L., 11 Oct 2018, arXiv.
Research output: Working paper › Preprint
Multi-scale uncertainty quantification in geostatistical seismic inversion
Azevedo, L. & Demyanov, V., 9 Oct 2018, arXiv.
Research output: Working paper › Preprint
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
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
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
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
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
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
Coupling geological and seismic interpretation uncertainty into geostatistical seismic inversion
Lopes, D., Demyanov, V., Azevedo, L. & Guerreiro, L., 17 Aug 2017, In: SEG Technical Program Expanded Abstracts. p. 3102-3106 5 p.
Research output: Contribution to journal › Conference article › peer-review
Use of water chemistry data in history matching of a reservoir model (SPE 154471)
Arnold, D., Christie, M. A., Demyanov, V. & Vazquez, O., Jun 2012, 74th European Association of Geoscientists and Engineers Conference and Exhibition Incorporating SPE EUROPEC 2012. EAGE Publishing BV
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Ant colony optimization for history matching
Hajizadeh, Y., Christie, M. A. & Demyanov, V., 2009, EUROPEC/EAGE Conference and Exhibition 2009. Society of Petroleum Engineers, SPE-121193-MS
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Soil pollution: Environmental integrated systems and prediction mapping
Kanevsky, M., Arutyunyan, R., Bolshov, L., Demyanov, V., Kabalevskiy, S., Kanevskaya, E., Kiselev, V., Koptelova, N., Linge, I., Martynenko, E., Savelieva, E., Serov, A., Chernova, S., Chernov, S. & Maignan, M., 1996, p. 47-56. 10 p.
Research output: Contribution to conference › Paper › peer-review
Geostatistical approach to analysis of Chernobyl fallout
Kanevskij, M. F., Arutyunyan, R. V., Bolshov, L. A., Demyanov, V. V., Saveleva, E. A. & Khaas, T., May 1995, In: Izvestii͡a Akademii nauk SSSR. 3, p. 34-46 13 p.
Research output: Contribution to journal › Article › peer-review