Author

Yerzhan Kenzhebek

Observed names: Kenzhebek, Yerzhan, Y. G. Kenzhebek, Y. Kenzhebek, Y.G. Kenzhebek

Institution: Al-Farabi Kazakh National University

Observed institutions: Al-Farabi Kazakh National University, Joldasbekov Institute of Mechanics and Engineering

ORCID: 0000-0002-6492-8292

Observed ORCID: 0000-0002-6492-8292

OpenAlex ID: A5090662776

Coupled pressure and saturation prediction for two-phase flow in porous media using physics-informed neural networks (PINNs)

2025 · Yerzhan Kenzhebek, Timur Imankulov, et al. · Computer Methods in Applied Mechanics and Engineering · 22

Using Machine Learning Methods for Oil Recovery Prediction

2020 · B. Daribayev, D. Akhmed-Zaki, et al. · ECMOR XVII · 8

Enhancing Oil Recovery Predictions by Leveraging Polymer Flooding Simulations and Machine Learning Models on a Large-Scale Synthetic Dataset

2024 · Timur Imankulov, Yerzhan Kenzhebek, et al. · Energies · 6

Implementation of regression algorithms for oil recovery prediction

2022 · Yerzhan Kenzhebek, Timur Imankulov, et al. · Eastern-European Journal of Enterprise Technologies · 6

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A Systematic Analysis of Physics-Informed Neural Networks for Two-Phase Flow with Capillarity: The Muskat–Leverett Problem

2025 · Timur Imankulov, Alibek Kuljabekov, et al. · Applied Sciences · 5

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Physics-informed Neural Networks for Predicting Pressure Distribution in Porous Media

2023 · Yerzhan Kenzhebek, Abylai Amangeldiyev · Journal of problem in computer science and information technologies · 3

Performance and stability of physics-informed Kolmogorov-Arnold networks for two-phase transport in porous media: A comparative study with physics-informed neural networks

2025 · Timur Imankulov, Yerzhan Kenzhebek, et al. · Results in Engineering · 2

On the Effectiveness of Kolmogorov—Arnold Networks for Enhanced Oil Recovery Prediction in Polymer Flooding

2024 · Samson Dawit Bekele, Yerzhan Kenzhebek, et al. · International Conference on Algorithms, Computing and Artificial Intelligence (ACAI) · 2

Using Machine Learning Algorithms to Solve Polymer Flooding Problem

2022 · T. Imankulov, Y. Kenzhebek, et al. · ECMOR XVII · 2

Parallel implementation of Thomas algorithm for the 2D heat equation

2019 · Yerzhan Kenzhebek, Timur Imankulov, et al. · Journal of Mathematics Mechanics and Computer Science · 2

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Separating Artificial-Viscosity Annealing from the L-BFGS Viscosity in Physics-Informed Neural Networks for Two-Phase Flow

2026 · Saltanbek Mukhambetzhanov, Yerzhan Kenzhebek, et al. · Big Data and Cognitive Computing

Identifiability and Conditioning of Flux-Parameter Inversion for the Buckley–Leverett Equation

2026 · Samson Dawit Bekele, Yerzhan Kenzhebek, et al. · Mathematics

Artificial-viscosity schedules for Buckley–Leverett PINNs: code and reproducibility archive

2026 · Mukhambetzhanov, Saltanbek, Kenzhebek, Yerzhan, et al. · Zenodo (CERN European Organization for Nuclear Research)

Physics-Informed Neural Networks for Coupled Non-Isothermal Two-Phase Flow in Porous Media: Training Pathologies, Remedies, and the Role of Gradient Conflict

2026 · Yerzhan Kenzhebek, Timur Imankulov, et al. · Machine Learning and Knowledge Extraction

Reference dataset and MRST simulation script for "Entropy-Satisfying Physics-Informed Neural Networks for the Two-Dimensional Buckley–Leverett Equation"

2026 · Imankulov, Timur, Kenzhebek, Yerzhan, et al. · Zenodo (CERN European Organization for Nuclear Research)

Efficiency of Parallel Machine Learning Algorithms on Multiprocessor and GPU Architectures

2025 · Maksat Mustafin, Madina Mansurova, et al. · Lecture notes in computer science

Predicting oil recovery factor using dense and cascade neural networks

2024 · S. D. Bekele, S. Aibagarov, et al. · Bulletin of the National Engineering Academy of the Republic of Kazakhstan

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Application of Physics-Informed Neural Networks to Solve Two-Phase Flow Model in Porous Media

2022 · Y. Kenzhebek, T. Imankulov, et al. · ECMOR XVII

Prediction of Oil Production Using Physics-informed Neural Networks

2021 · Y. Kenzhebek, T.S. Imankulov, et al. · Habaršy. Fizika-matematikalyķ ġylymdary seriâsy

Data Classification to Optimize Oil Field Development

2021 · N.M. Meyrambek, Y.G. Kenzhebek · Вестник Алматинского университета энергетики и связи

Development of a hybrid parallel algorithm (MPI + OpenMP) for solving the Poisson equation

2018 · Y. G. Kenzhebek, S. B. Baryssova, et al. · Journal of Mathematics Mechanics and Computer Science

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Works count: 21

Citation count: 59

H-index: 5

I10-index: 1