Our Papers

Uncertainty in AI Based Reservoir Modelling Workflows,
V. Demyanov, Q. Corlay, A. Nathanail, C. Sun, G. Shishaev, D. Arnold
GEOSTATS 2024 ● 12th International Geostatistical Congress ● Azores ● 2-6 September 2024

Feature Extraction and Pattern Recognition in Time-lapse Pressure Transient Responses
Starikov, V., Shchipanov, A., Demyanov, V. & Muradov, K., Nov 2024, In: Geoenergy Science and Engineering. 242, 213160.
Research output: Contribution to journal › Article › peer-review
LMIR - A New Method for Automated Identification of Multi-Rate Pressure Transients
Cui, B., Shchipanov, A., Zhang, N., Demyanov, V. & Rong, C., 10 Jun 2024, 85th EAGE Annual Conference & Exhibition 2024. Oslo, Norway: EAGE Publishing BV, p. 1-5 5 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Climate control in termite mounds: A review and new insights from X-ray tomography and flow field simulations
Karibi-Botoye, N. F., Theraulaz, G., Muljadi, B., Demyanov, V. & Singh, K., 1 Jun 2024, arXiv.
Research output: Working paper › Preprint
Controls of subsurface fractures on mine water storage efficiency.
Aderemi, A., Charalampidou, E.-M. C. & Demyanov, V., 24 Apr 2024.
Research output: Contribution to conference › Poster › peer-review
A New Automated Workflow for Well Monitoring Using Permanent Pressure and Rate Measurements
Shchipanov, A., Cui, B., Starikov, V., Muradov, K., Khrulenko, A., Zhang, N. & Demyanov, V., 17 Apr 2024, SPE Norway Subsurface Conference 2024. Society of Petroleum Engineers, SPE-218470-MS
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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
Application of Graph Variational Autoencoders for History Matching Problem of Brugge Field
Shishaev, G., Demyanov, V., Arnold, D. & Vygon, R., 27 Nov 2023, p. 1-5. 5 p.
Research output: Contribution to conference › Paper › peer-review
Pre-Trained GAN Conditioning to Acoustic Impedance in Facies Modelling
Sun, C., Demyanov, V. & Arnold, D., 27 Nov 2023, p. 1-5. 5 p.
Research output: Contribution to conference › Paper › peer-review
Unsupervised Classification of Flow Regime Features in Pressure Transient Responses
Starikov, V., Demyanov, V., Muradov, K. & Shchipanov, A., 27 Nov 2023, p. 1-5. 5 p.
Research output: Contribution to conference › Paper › 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
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., 1 Mar 2022, In: Geophysics. 87, 2, p. V59-V73 15 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
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
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
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
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
Value of Geologically Derived Features in Machine Learning Facies Classification
Halotel, J., Demyanov, V. & Gardiner, A., Jan 2020, In: Mathematical Geosciences. 52, p. 5–29 25 p.
Research output: Contribution to journal › Article › 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
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
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
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
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
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
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
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
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
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
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
Optimization of well placement to minimize the risk of scale deposition in field development
Hutahaean, J., Demyanov, V., Arnold, D. & Vazquez, O., 2014, 30th Abu Dhabi International Petroleum Exhibition and Conference (ADIPEC 2014): Challenges and Opportunities for the Next 30 Years. Society of Petroleum Engineers, Vol. 1. p. 540-554 15 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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