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Computational Laboratory for Underground Physical and Chemical Hydro-Geomechanics

Contract number
075-15-2019-1890
075-15-2022-1106
Time span of the project
2019-2023

As of 01.12.2023

10
Number of staff members
20
scientific publications
12
Objects of intellectual property
General information

Name of the project: Computational hydro-geomechanics and physical chemistry in problems of modeling of migration of migration of porous filters


Goals and objectives

Goals of project:

Creation of a modern computational laboratory for underground physical and chemical hydro-geomechamics on the basis of the Department of Computational Mechanics of the Faculty of Mechanics and Mathematics of the Moscow State University using state-of-the-art supercomputer technologies

The practical value of the study

Scientific results:

A geomechanical solver has been developed, accounting for both small and large deformations in a poroelastic-plastic medium, based on the finite element method and utilizing modern parallel architectures (CUDA GPU).

A numerical method based on the relaxation method has been adapted and optimized for solving coupled hydro-geomechanical problems.

TERMOLAB, a software suite for conducting both equilibrium and non-equilibrium thermodynamic calculations, has been developed.

Additionally, a software package has been developed and tested for the numerical simulation of deformation localization in an elastoplastic medium during thermo-mechanical interactions. This package also handles the numerical modeling and analysis of non-isothermal porosity wave propagation in a fluid-saturated, reactive solid matrix. The software utilizes modern parallel architectures (CUDA GPU) and runs on a computing system featuring the HPE ProLiant DL380 Gen10 server.

Organizational and infrastructural changes:

A computational server has been set up and fine-tuned. It features two eight-core processors and a substantial amount of RAM, enabling complex CPU calculations with parallel processing using OpenMP. The server is also equipped with two NVidia A100 graphics cards, each with 40 GB of video memory. The presence of two GPUs allows for calculations using Multi-GPU technology (computation across multiple graphics processors).

Education and personnel occupational retraining:

Five students from the Faculty of Mechanics and Mathematics at Lomonosov Moscow State University have completed their studies and are now prepared to defend their diplomas. Over the past three years, they have been supervised by a leading scientist.

During their studies, the students completed internships at the University of Lausanne in Switzerland and the Institute of Ore Deposit Geology, Petrography, Mineralogy, and Geochemistry of the Russian Academy of Sciences (IGEM RAS). The internships were supervised by the leading scientist, Yury Yu. Podladchikov, and by academician L.Y. Aranovich, Doctor of Geological and Mineralogical Sciences, and head of the Laboratory of Metamorphism and Metasomatism named after Academician D.S. Korzhinsky at IGEM RAS.

The leading scientist also delivered three courses for students and postgraduates at the Faculty of Mechanics and Mathematics at Lomonosov Moscow State University, and organized a scientific seminar for the laboratory.

Cooperation:

University of Lausanne, Switzerland

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Alkhimenkov, Y., Räss, L., Khakimova, L., Quintal, B., & Podladchikov, Y.
(2021). Resolving wave propagation in anisotropic poroelastic media using graphical processing units (GPUs). Journal of Geophysical Research: Solid Earth, 126(7), e2020JB021175.
Räss Ludovic, Utkin Ivan, Duretz Thibault, Omlin Samuel, Podladchikov Yuri Y.
(2022) Assessing the robustness and scalability of the accelerated pseudo-transient method. Geoscientific Model Development https://gmd.copernicus.org/articles/15/5757/2022/
Tajčmanová, L., Podladchikov, Y., Moulas, E., & Khakimova, L
(2021). The choice of a thermodynamic formulation dramatically affects modelled chemical zoning in minerals. Scientific reports, 11(1), 18740.
Yakovlev M., Konovalov D.
(2022) Multiscale geomechanical modeling under finite strains using finite element method. Continuum Mechanics and Thermodynamics https://link.springer.com/article/10.1007/s00161-022-01107-6
Utkin, I., Khakimova, L., Schmalholz, S. M., & Podladchikov, Y.
(2023). (2022) Control of nonlinear bulk deformation and large shear strain on first-order phase transformation kinetics.
Moulas, E., Podladchikov, Y., Zingerman, K., Vershinin, A., & Levin, V.
(2023). Large-strain elastic and elasto- plastic formulations for host-inclusion systems and their applications in thermobarometry and geodynamics. American Journal of Science, 323. https://ajs.scholasticahq.com/article/68195-large-strain- elastic-and-elasto-plastic-formulations-for-host-inclusion- systems-and-their-applications-in-thermobarometry-and- geodynamics
Moulas, E., Kostopoulos, D., Podladchikov, Y., Chatzitheodoridis, E., Schenker, F. L., Zingerman, K. M., ... & Tajčmanová, L.
(2020). Calculating pressure with elastic geobarometry: A comparison of different elastic solutions with application to a calc-silicate gneiss from the Rhodope Metamorphic Province. Lithos, 378, 105803.
Yarushina, V. M., Podladchikov, Y. Y., & Wang, L. H.
(2020). Model for (de) compaction and porosity waves in porous rocks under shear stresses. Journal of Geophysical Research: Solid Earth, 125(8), e2020JB019683.
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