Publications

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

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

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

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

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

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