Kurmanseiit Maksat Bakytzhanuly

Kurmanseiit Maksat Bakytzhanuly

Ph.D.

Associate Professor

Institute of Energy and Mechanical Engineering named after A. Burkitbayev

Department of Mechanical Engineering

Email: m.kurmanseiit@satbayev.111

H-index:
3

Professional biography

2013 – 2017: Research Institute of Mathematics and Mechanics, Kazakhstan

2017 – Present: Researcher (Mathematics and Mechanics, Kazakhstan).

2017 – Present: Researcher (Satbaev University, Kazakhstan).

2015 3D geological models of uranium deposits (University of Lorraine, Nancy, France)

2016 for the successful completion of field trip on Tortkuduk uranium mining site operated by KATKO JV LLP.

2018 Well Log Analysis (Total Professeurs Associes)

2020 Python for Everybody (1 Courses, Coursera Specialization, Michigan University)

Education

2009-2013  Al-Farabi Kazakh National University - Bachelor of Science (Mechanics)

2013-2015 Al-Farabi Kazakh National University - Master of Natural Sciences (Mechanics)

2015-2018 Al-Farabi Kazakh National University - PhD (Mechanics).

Scientific projects

2015-2021 Participated  as a researcher in 8 projects related to the extraction of uranium by the method of in-situ leaching, including 3 projects carried out jointly with NAC Kazatomprom JSC

2018 Researcher in a project related to oil production.

Author of 11 scientific articles, including 3 publications in Kazakhstani journals included in the COXON list, 6 publications in international conferences not included in international databases, 7 publications in journals indexed by Scopus/Thompson Reuters databases

Has 9 copyright certificates related to the uranium mining industry

The topic of the dissertation for the degree of PhD “Research of physical and chemical processes in the extraction of minerals by leaching” 

Publications

ORCID https://orcid.org/0000-0002-5334-6537

1. Aizhulov, D.; Tungatarova, M.; Kurmanseiit, M.; Shayakhmetov, N. Artificial Neural Networks for Mineral Production Forecasting in the In Situ Leaching Process: Uranium Case Study. Processes 2024, 12, 2285. https://doi.org/10.3390/pr12102285

2. Kurmanseiit, M.B.; Tungatarova, M.S.; Abdullayeva, B.Z.; Aizhulov, D.Y.; Shayakhmetov, N.M. Acceleration of Numerical Modeling of Uranium In Situ Leaching: Application of IDW Interpolation and Neural Networks for Solving the Hydraulic Head Equation. Minerals 2024, 14, 1043. https://doi.org/10.3390/min14101043

3. G.Mamytbekov, N. Shayakhmetov, D. Aizhulov, M. Kurmanseiit, and M. Tungatarova Transport of steam-gas mixture in hydrodynamic devices: A numerical study of steam reforming of methane. - Processes 2023, 11(10), 2991

4. M.B. Kurmanseiit, M.S. Tungatarova, J.-J. Royer, D.Y. Aizhulov, N.M. Shayakhmetov, A. Kaltayev Streamline-based reactive transport modeling of uranium mining during in-situ leaching: Advantages and drawbacks. -  Hydrometallurgy 2023, 220, June 2023, 106107

5.Kurmanseiit, M.B.; Tungatarova, M.S.; Kaltayev, A.; Royer, J.-J. Reactive Transport Modeling during Uranium In Situ Leaching (ISL): The Effects of Ore Composition on Mining Recovery. Minerals 2022, 12, 1340. 

https://www.scopus.com/authid/detail.uri?authorId=57204125575

6. M.S. Tungatarova, M.B. Kurmanseiit, N. Shayakhmetov GPU accelerated modeling of In-Situ Leaching process and Streamline based reactive transport  simulation. - Procedia Computer Science. – 2020.– V. 178, p. 145-152         

Article title Journal title Direction Order date Year
1 SYNTHETIC DATA GENERATION FOR ANN MODELING OF THE HYDRODYNAMIC PROCESSES OF IN-SITU LEACHING Scientific Journal of Astana IT University Ақпараттық және коммуникациялық технологиялар 12.07.2024 ж. № 603 бұйрық 2024
2 Методика определения баланса растворов технологических блоков, разрабатываемых подземным выщелачиванием, на основе линий тока «Қазақстан Республикасының ұлттық инженерлік академиясының хабаршысы» Математика ғылымдары, ақпараттық-коммуникациялық технологиялар 18.05.2021-ғы № 432 01.07.2021 ж. № 539 2022