TY - GEN
T1 - Optimal Time-Step for Coupled CFD-DEM Model in Sand Production
AU - Kazidenov, Daniyar
AU - Omirbekov, Sagyn
AU - Amanbek, Yerlan
N1 - Funding Information:
The authors wish to acknowledge the support of the research grant, no. AP19575428, from the Ministry of Science and Higher Education of the Republic of Kazakhstan. Authors gratefully acknowledge the support of the Nazarbayev University Faculty Development Competitive Research Grant (NUFDCRG), Grant No. 20122022FD4141.
Publisher Copyright:
© 2023, The Author(s).
PY - 2023
Y1 - 2023
N2 - The coupled Computational Fluid Dynamics and Discrete Element Method (CFD-DEM) is a useful tool for modeling the dynamics of sand production that occurs in oil and gas reservoirs. To perform accurate, physically relevant and efficient calculations, the optimal size of the simulation time-step should be selected. In this study, we investigate the selection of an appropriate time-step interval between CFD and DEM models in sand production simulations. The CPU time, speedup and root mean squared relative error of the obtained results are examined to compare the sand production phenomenon at different coupling numbers. Most of the results including the final sand production rate, bond number and bond ratio indicate that the simulations with coupling numbers of N = 10 and N = 100 produce more accurate results. Moreover, these outcomes demonstrate significant improvements in terms of acceleration of the modeling process.
AB - The coupled Computational Fluid Dynamics and Discrete Element Method (CFD-DEM) is a useful tool for modeling the dynamics of sand production that occurs in oil and gas reservoirs. To perform accurate, physically relevant and efficient calculations, the optimal size of the simulation time-step should be selected. In this study, we investigate the selection of an appropriate time-step interval between CFD and DEM models in sand production simulations. The CPU time, speedup and root mean squared relative error of the obtained results are examined to compare the sand production phenomenon at different coupling numbers. Most of the results including the final sand production rate, bond number and bond ratio indicate that the simulations with coupling numbers of N = 10 and N = 100 produce more accurate results. Moreover, these outcomes demonstrate significant improvements in terms of acceleration of the modeling process.
KW - CFD-DEM coupling
KW - Sand production
KW - Time-step
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U2 - 10.1007/978-3-031-37111-0_9
DO - 10.1007/978-3-031-37111-0_9
M3 - Conference contribution
AN - SCOPUS:85165020935
SN - 9783031371103
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 116
EP - 130
BT - Computational Science and Its Applications – ICCSA 2023 Workshops, Proceedings
A2 - Gervasi, Osvaldo
A2 - Murgante, Beniamino
A2 - Scorza, Francesco
A2 - Rocha, Ana Maria A. C.
A2 - Garau, Chiara
A2 - Karaca, Yeliz
A2 - Torre, Carmelo M.
PB - Springer Science and Business Media Deutschland GmbH
T2 - 23rd International Conference on Computational Science and Its Applications, ICCSA 2023
Y2 - 3 July 2023 through 6 July 2023
ER -