Nikita Bukhanov
Nikita Bukhanov
Aramco Research Center - Moscow, Aramco Innovations LLC
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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, 2018
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
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
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
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
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
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
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
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
Towards Modeling of Information Processing within Business-Processes of Service-Providing Organizations
SV Kovalchuk, AA Funkner, KY Balabaeva, IV Derevitskii, VV Fonin, ...
Computational ScienceICCS 2020: 20th International Conference, Amsterdam, 2020
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
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
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
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
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
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
Graph-Based Temporal Process Planning and Scheduling for Well Drilling Operations
M Pavlov, N Bukhanov, S Safonov
Middle East Oil, Gas and Geosciences Show, 2023
Prediction Sequence Optimization Guided by Similarity of Well Logs
M Subbotina, A Voskresenskii, A Shakirov, N Bukhanov
ECMOR 2022 2022 (1), 1-9, 2022
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
Analysis of parameters of oil and gas fields using Bayesian networks
PD Andriushchenko, IU Deeva, AV Kalyuzhnaya, AV Bubnova, ...
Data Science in Oil & Gas 2020 (1), 1-10, 2020
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