Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Parallel Implementation of HTC Model for Wave Propagation in Multiphase Poroelastic Media. / Reshetova, Galina; Shiyapov, Kadrzhan; Zakharov, Vladislav et al.
Parallel Computing Technologies. ed. / Victor Malyshkin. Springer, 2026. p. 247-259 17 (Lecture Notes in Computer Science; Vol. 16185).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
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TY - GEN
T1 - Parallel Implementation of HTC Model for Wave Propagation in Multiphase Poroelastic Media
AU - Reshetova, Galina
AU - Shiyapov, Kadrzhan
AU - Zakharov, Vladislav
AU - Cheverda, Vladimir
N1 - Conference code: 18
PY - 2025/10/1
Y1 - 2025/10/1
N2 - Geological formations represent complex multiphase systems comprising elastic solid matrices and fluid-saturated pore networks. While Biot’s classical poroelastic theory has been widely adopted for wave propagation modeling, accumulated physical inconsistencies in describing dynamic filtration processes have motivated our numerical implementation of a Symmetric Hyperbolic Thermodynamically Compatible (HTC) model. This approach maintains rigorous physical validity across the complete spectrum of phase compositions in heterogeneous media.Our research focuses on optimizing parallel computation strategies for large-scale 3D wave field simulations in realistic poroelastic environments. We present a comparative analysis of two fundamental parallelization paradigms - distributed memory (MPI) and GPU-accelerated (CUDA) approaches - evaluating their computational efficiency through scalability tests. The results of numerical experiments are presented and discussed.
AB - Geological formations represent complex multiphase systems comprising elastic solid matrices and fluid-saturated pore networks. While Biot’s classical poroelastic theory has been widely adopted for wave propagation modeling, accumulated physical inconsistencies in describing dynamic filtration processes have motivated our numerical implementation of a Symmetric Hyperbolic Thermodynamically Compatible (HTC) model. This approach maintains rigorous physical validity across the complete spectrum of phase compositions in heterogeneous media.Our research focuses on optimizing parallel computation strategies for large-scale 3D wave field simulations in realistic poroelastic environments. We present a comparative analysis of two fundamental parallelization paradigms - distributed memory (MPI) and GPU-accelerated (CUDA) approaches - evaluating their computational efficiency through scalability tests. The results of numerical experiments are presented and discussed.
UR - https://www.scopus.com/pages/publications/105019490245
UR - https://www.mendeley.com/catalogue/4aef488d-2ac9-31b8-82d3-b7386d6a0157/
U2 - 10.1007/978-3-032-06751-7_17
DO - 10.1007/978-3-032-06751-7_17
M3 - Conference contribution
SN - 978-3-032-06750-0
T3 - Lecture Notes in Computer Science
SP - 247
EP - 259
BT - Parallel Computing Technologies
A2 - Malyshkin, Victor
PB - Springer
T2 - 18th International Conference on Parallel Computing Technologies
Y2 - 6 October 2025 through 10 October 2025
ER -
ID: 71480047