Publications
CFD-DEM modeling of fracture initiation with polymer injection in granular media
Published in Preprint, 2024
Recommended citation: Kazidenov, D., & Amanbek, Y. (2024). CFD-DEM modeling of fracture initiation with polymer injection in granular media. arXiv preprint arXiv:2402.02106. https://doi.org/10.48550/arXiv.2402.02106
Coarse-graining of CFD-DEM for simulation of sand production in the modified cohesive contact model
Published in Gas Science and Engineering, 2023
Recommended citation: Kazidenov, D., Khamitov, F., & Amanbek, Y. (2023). Coarse-graining of CFD-DEM for simulation of sand production in the modified cohesive contact model. Gas Science and Engineering, 204976. https://doi.org/10.1016/j.jgsce.2023.204976
Framework of Fracture Network Modeling using Conditioned Data with Sequential Gaussian Simulation
Published in Arabian Journal of Geosciences , 2023
Recommended citation: Amanbek, Y., Merembayev, T. & Srinivasan, S. Framework of fracture network modeling using conditioned data with sequential Gaussian simulation. Arab J Geosci 16, 219 (2023). https://doi.org/10.1007/s12517-022-11073-7
Experimental study of DNAPL displacement by a new densified polymer solution and upscaling problems of aqueous polymer flow in porous media
Published in Journal of Contaminant Hydrology, 2023
Recommended citation: Omirbekov, S., Colombano, S., Alamooti, A., Batikh, A., Cochennec, M., Amanbek, Y., Ahmadi-Senichault, A., & Davarzani, H. (2023). Experimental study of DNAPL displacement by a new densified polymer solution and upscaling problems of aqueous polymer flow in porous media. Journal of Contaminant Hydrology, 252(104120), 104120 https://doi.org/10.1016/j.jconhyd.2022.104120
Finite Element Model for Wind Comfort Around a Tall Building: A Case Study of Tower of Qazaqstan
Published in ICCSA, Springer, 2022
Recommended citation: Narbayev, B., & Amanbek, Y. (2022). Finite Element Model for Wind Comfort Around a Tall Building: A Case Study of Tower of Qazaqstan. In International Conference on Computational Science and Its Applications (pp. 540-553). Springer, Cham. https://doi.org/10.1007/978-3-031-10542-5_37
Coarse-graining methods for the modified JKR contact model on a triaxial compression test
Published in 56th U.S. Rock Mechanics/Geomechanics Symposium, 2022
Recommended citation: Kazidenov, Daniyar, Khamitov, Furkhat, and Yerlan Amanbek. "Coarse-Graining Methods for the Modified JKR Contact Model on a Triaxial Compression Test." Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, Santa Fe, New Mexico, USA, June 2022. doi: https://doi.org/10.56952/ARMA-2022-2211 https://doi.org/10.56952/ARMA-2022-2211
Time-Series Event Prediction for the Uranium Production Wells Using Machine Learning Algorithms
Published in 56th U.S. Rock Mechanics/Geomechanics Symposium, 2022
Recommended citation: Merembayev, Timur, and Yerlan Amanbek. "Time-Series Event Prediction for the Uranium Production Wells Using Machine Learning Algorithms." Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, Santa Fe, New Mexico, USA, June 2022. doi: https://doi.org/10.56952/ARMA-2022-0415 https://doi.org/10.56952/ARMA-2022-0415
Reservoir Simulation of CO2 Storage using Compositional Flow Model for geological formations in Frio Field and Precaspian Basin
Published in Energies, 2021
Recommended citation: Kamashev, A., & Amanbek, Y. (2021). Reservoir Simulation of CO2 Storage Using Compositional Flow Model for Geological Formations in Frio Field and Precaspian Basin. Energies, 14(23), 8023. https://doi.org/10.3390/en14238023
Inverse properties of a class of seven-diagonal (near) Toeplitz matrices
Published in Special Matrices, 2021
Recommended citation: Kurmanbek, B., Erlangga, Y. & Amanbek, Y. (2022). Inverse properties of a class of seven-diagonal (near) Toeplitz matrices. Special Matrices, 10(1), 67-86. https://doi.org/10.1515/spma-2021-0148
Numerical simulations of sand production in oil wells using the CFD-DEM-IBM approach
Published in Journal of Petroleum Science and Engineering, 2021
Recommended citation: Rakhimzhanova, A., Thornton, C., Amanbek, Y., & Zhao, Y. (2021). Numerical simulations of sand production in oil wells using the CFD-DEM-IBM approach. Journal of Petroleum Science and Engineering, 109529. https://doi.org/10.1016/j.petrol.2021.109529
The Identification Models of the Copper Recovery Using Supervised Machine Learning Algorithms for the Geochemical Data
Published in 55th US Rock Mechanics/Geomechanics Symposium, 2021
Recommended citation: Merembayev, T., Bekkarnayev, K., & Amanbek, Y. (2021, June). The Identification Models of the Copper Recovery Using Supervised Machine Learning Algorithms for the Geochemical Data. In 55th US Rock Mechanics/Geomechanics Symposium. OnePetro. https://onepetro.org/ARMAUSRMS/proceedings/ARMA21/All-ARMA21/ARMA-2021-1746/468112
Explicit inverse of near Toeplitz pentadiagonal matrices related to higher order difference operators
Published in Results in Applied Mathematics, 2021
Recommended citation: Kurmanbek, B., Erlangga, Y., & Amanbek, Y. (2021). Explicit inverse of near Toeplitz pentadiagonal matrices related to higher order difference operators. Results in Applied Mathematics, 11, 100164. https://doi.org/10.1016/j.rinam.2021.100164
Numerical simulations of cone penetration in cemented sandstone
Published in EPJ Web Conf., 2021
Recommended citation: Rakhimzhanova, A., Thornton, C., Amanbek, Y., & Zhao, Y. (2021). Numerical simulations of cone penetration in cemented sandstone. EPJ Web of Conferences, 249, 14010. https://doi.org/10.1051/epjconf/202124914010
A Comparison of Machine Learning Algorithms in Predicting Lithofacies: Case Studies from Norway and Kazakhstan
Published in Energies, 2021
Recommended citation: Merembayev T, Kurmangaliyev D, Bekbauov B, Amanbek Y. A Comparison of Machine Learning Algorithms in Predicting Lithofacies: Case Studies from Norway and Kazakhstan. Energies. 2021; 14(7):1896. https://doi.org/10.3390/en14071896
Explicit determinantal formula for a class of banded matrices
Published in Open Mathematics, 2020
Recommended citation: Yerlan Amanbek, Zhibin Du, Yogi Erlangga, Carlos M. da Fonseca, Bakytzhan Kurmanbek and António Pereira. Explicit determinantal formula for a class of banded matrices. Open Mathematics, 18(1), 1227-1229. https://doi.org/10.1515/math-2020-0100
Existence of traveling wave solutions to data-driven glioblastoma multiforme growth models with density-dependent diffusion
Published in Mathematical Biosciences and Engineering, 2020
Recommended citation: Ardak Kashkynbayev, Yerlan Amanbek, Bibinur Shupeyeva, Yang Kuang. Existence of traveling wave solutions to data-driven glioblastoma multiforme growth models with density-dependent diffusion. Mathematical Biosciences and Engineering, 2020, 17(6): 7234-7247. doi: 10.3934/mbe.2020371 http://doi.org/10.3934/mbe.2020371
Experimental and Numerical Investigation of the Plastic Zone Permeability
Published in 54th US Rock Mechanics/Geomechanics Symposium, 2020
Recommended citation: Shabdirova, A. D., Khamitov, F., Kozhagulova, A. A., Amanbek, Y., Minh, N. H., & Zhao, Y. (2020, September). Experimental and Numerical Investigation of the Plastic Zone Permeability. In 54th US Rock Mechanics/Geomechanics Symposium. American Rock Mechanics Association. https://www.onepetro.org/conference-paper/ARMA-2020-1626
Adoption of e-government in the Republic of Kazakhstan
Published in Journal of Open Innovation: Technology, Market, and Complexity, 2020
Recommended citation: Amanbek, Y., Balgayev, I., Batyrkhanov, K., & Tan, M. (2020). Adoption of e-government in the Republic of Kazakhstan. Journal of Open Innovation: Technology, Market, and Complexity, 6(3), 46. https://www.sciencedirect.com/science/article/pii/S219985312200539X
A proof of Anđelić-Fonseca conjectures on the determinant of some Toeplitz matrices and their generalization.
Published in Linear and Multilinear Algebra, 2020
Recommended citation: Kurmanbek, B., Amanbek, Y., & Erlangga, Y. (2020). A proof of Anđelić-Fonseca conjectures on the determinant of some Toeplitz matrices and their generalization. Linear and Multilinear Algebra. https://doi.org/10.1080/03081087.2020.1765959
COVID-19 OUTBREAK IN POST-SOVIET STATES: MODELING THE BEST AND WORST POSSIBLE SCENARIOS
Published in Electronic Journal of General Medicine, 2020
Recommended citation: Issanov, A., Amanbek, Y., Abbay, A., Adambekov, S., Aljofan, M., Kashkynbayev, A., & Gaipov, A. (2020). COVID-19 OUTBREAK IN POST-SOVIET STATES: MODELING THE BEST AND WORST POSSIBLE SCENARIOS. Electronic Journal of General Medicine, 17(6): em256. https://doi.org/10.29333/ejgm/8346
Error indicators for the incompressible Darcy flow problems using Enhanced Velocity Mixed Finite Element Method
Published in Computer Methods in Applied Mechanics and Engineering, 2020
Recommended citation: Amanbek, Y., Singh, G., Pencheva, G., & Wheeler, M. F. (2020). Error indicators for incompressible Darcy Flow problems using Enhanced Velocity Mixed Finite Element Method. Computer Methods in Applied Mechanics and Engineering, 363, 112884. https://www.sciencedirect.com/science/article/pii/S0045782520300669
Recovery of the Interface Velocity for the Incompressible Flow in Enhanced Velocity Mixed Finite Element Method
Published in ICCS 19, A-rank conference., 2019
Recommended citation: Amanbek Y., Singh G., Wheeler M.F. (2019) Recovery of the Interface Velocity for the Incompressible Flow in Enhanced Velocity Mixed Finite Element Method. In: Rodrigues J. et al. (eds) Computational Science – ICCS 2019. ICCS 2019. Lecture Notes in Computer Science, vol 11539. Springer, Cham. https://doi.org/10.1007/978-3-030-22747-0_38
A priori error analysis for transient problems using Enhanced Velocity approach in the discrete-time setting
Published in Journal of Computational and Applied Mathematics, 2019
Recommended citation: Amanbek, Y., and Wheeler, M. F. (2019). A priori error analysis for transient problems using Enhanced Velocity approach in the discrete-time setting. Journal Of Computational And Applied Mathematics, 361, 459-471. https://doi.org/10.1016/j.cam.2019.05.009
Adaptive Numerical Homogenization for Upscaling Single Phase Flow and Transport
Published in Journal of Computational Physics, 2019
Recommended citation: Amanbek, Y., Singh, G., Wheeler, M. F., and van Duijn, H. (2019). "Adaptive Numerical Homogenization for Upscaling Single Phase Flow and Transport". Journal of Computational Physics, 387, 117 - 133. https://doi.org/10.1016/j.jcp.2019.02.014
Adaptive Homogenization for Upscaling Heterogeneous Porous Medium
Published in SPE Annual Technical Conference and Exhibition, 2017
Recommended citation: Singh, G., Amanbek, Y. and Wheeler, M. F. Adaptive Homogenization for Upscaling Heterogeneous Porous Medium, SPE-187113-MS, SPE Annual Technical Conference and Exhibition, Oct 9-11, 2017, San Antonio, Texas. https://doi.org/10.2118/187113-MS
Selected Posters
Best Poster Award: “Adaptive Numerical Homogenization for Upscaling Single Phase Flow and Transport”, Y. Amanbek, G. Singh and M. F. Wheeler, Texas Applied Mathematics and Engineering Symposium (TAMES), September 21-23, 2017, Austin, Texas. Link
“Selective Time-stepping adaptivity for Non-Linear Reactive Transport Problems”, Y. Amanbek, G. Singh and M. F. Wheeler, SIAM Conference on Computational Science and Engineering (CSE17), February 26-March 3, 2017, Atlanta, Georgia. Link