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Nikita Bukhanov
Nikita Bukhanov
Aramco Research Center - Moscow, Aramco Innovations LLC
Verified email at aramcoinnovations.com
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Cited by
Cited by
Year
Automatic well log analysis across priobskoe field using machine learning methods
B Belozerov, N Bukhanov, D Egorov, A Zakirov, O Osmonalieva, ...
SPE Russian Petroleum Technology Conference?, D013S002R011, 2018
272018
Automatic analysis of petrographic thin section images of sandstone
AY Bukharev, SA Budennyy, AA Pachezhertsev, BV Belozerov, EA Zhuk
ECMOR XVI-16th European Conference on the Mathematics of Oil Recovery 2018 …, 2018
82018
Automatic Interpretation of Facies from Wireline Logs by Using Hierarchical Machine Learning Approach
DV Egorov, NV Bukhanov, BV Belozerov, VS Rukavishnikov
Saint Petersburg 2018 2018 (1), 1-5, 2018
82018
Oil and gas reservoirs parameters analysis using mixed learning of bayesian networks
I Deeva, A Bubnova, P Andriushchenko, A Voskresenskiy, N Bukhanov, ...
International Conference on Computational Science, 394-407, 2021
52021
Variations in ranked list of reservoir analogs as an effect of search preferences
A Voskresenskiy, M Butorina, O Popova, N Bukhanov, Z Filippova, ...
Saint Petersburg 2020 2020 (1), 1-5, 2020
42020
Feature selection for reservoir analogues similarity ranking as model-based causal inference
A Voskresenskiy, N Bukhanov, Z Filippova, R Brandao, V Segura, ...
ECMOR XVII 2020 (1), 1-9, 2020
42020
Multiscale modeling of comorbidity relations in hypertensive outpatients
N Bukhanov, M Balakhontceva, S Kovalchuk, N Zvartau, A Konradi
Procedia computer science 121, 446-450, 2017
42017
Clustering of comorbidities based on conditional probabilities of diseases in hypertensive patients.
NV Bukhanov, M Balakhontceva, AV Krikunov, A Sabirov, A Semakova, ...
ICCS, 2478-2487, 2017
42017
Rock Type Classification Models Interpretability Using Shapley Values
AG Voskresenskiy, NV Bukhanov, MA Kuntsevich, OA Popova, ...
Abu Dhabi International Petroleum Exhibition and Conference, D031S098R004, 2021
32021
An optimization method for the assisted history matching (AHM) process using the gradient boosting approach
M Melnikov, G Shishaev, I Matveev, G Eremyan, V Demyanov, ...
EAGE/AAPG Digital Subsurface for Asia Pacific Conference 2020 (1), 1-3, 2020
32020
Towards Modeling of Information Processing within Business-Processes of Service-Providing Organizations
SV Kovalchuk, AA Funkner, KY Balabaeva, IV Derevitskii, VV Fonin, ...
Computational Science–ICCS 2020: 20th International Conference, Amsterdam …, 2020
32020
Synthetic seismic models construction for detailed geological outcrop description
EV Fedorova, NV Bukhanov, VE Baranov
7th EAGE Saint Petersburg International Conference and Exhibition, cp-480-00183, 2016
32016
Data-driven well placement strategy based on variational simulations
N Bukhanov, A Orlov, MM Ozhgibesov, E Grishnyaev, T Dogadova, ...
EAGE Subsurface Intelligence Workshop 2019 (1), 1-5, 2019
22019
Robustness Of Extra Net Thickness Identification Within Vertical And Spatial Scale Using Statistical Learning Methods
A Reshitko, M Golytsma, A Gruzdev, A Semenikhin, D Egorov, ...
ECMOR XVI-16th European Conference on the Mathematics of Oil Recovery 2018 …, 2018
22018
Incorporation of experts’ experience into machine learning models using well logs analysis for Priobskoye and Muravlenkovskoye brownfields (Russian)
DV Egorov, NV Bukhanov, OT Osmonalieva, BV Belozerov, AA Reshytko, ...
Neftyanoe khozyaystvo-Oil Industry, 28-31, 2017
22017
Classification of Bazhenov Formation Using Seismic Traces
NV Bukhanov, VB Belozerov, VV Demyanov, AV Evdokimov
EAGE/SPE Joint Workshop on Shale Oil 2015 2015 (1), 1-5, 2015
22015
Graph-Based Temporal Process Planning and Scheduling for Well Drilling Operations
M Pavlov, N Bukhanov, S Safonov
SPE Middle East Oil and Gas Show and Conference, D021S073R001, 2023
12023
Machine learning approach for evaluating the cause of the overpressure zones in the tight carbonate reservoirs
N Bukhanov, P Golikov, A Egorov
Sixth EAGE Rock Physics Workshop 2022 (1), 1-5, 2022
12022
Prediction sequence optimization guided by similarity of well logs
M Subbotina, A Voskresenskii, A Shakirov, N Bukhanov
ECMOR 2022 2022 (1), 1-9, 2022
12022
Efficient Visualization Methods for Large Scale Reservoir Models
P Novikov, D Sabitov, N Bukhanov, M Charara, M Cancelliere, F Rashed, ...
83rd EAGE Annual Conference & Exhibition 2022 (1), 1-5, 2022
12022
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