Abstract
In recent years digital rock physics technology is regarded as a promising tool which can supplement traditional laboratory techniques. This technology is based on numerical experiment with direct resolution of pore space of a rock sample, which is obtained with computed microtomography. Necessity of high resolution leads to a high dimension of discrete settings (106–109 numerical cells). The work is devoted to an application of different partitioning algorithms to the problem of flow simulation within geometry of rock sample pore space. Simulation of a single-phase fluid flow within pore space of a sandstone sample with voxel representation is used to compare the partitions obtained by various methods using parallel partitioning tools ParMETIS, Zoltan, and GridSpiderPar. Average time spent on interprocess exchange during 200 time steps of the considered parallel simulation was compared when the grid was distributed over the cores in accordance with various partitions. The obtained results demonstrate advantages of some algorithms and reveal the criteria, important for the problem.
The study is conducted with support from The Ministry of Education and Science of Russian Federation, unique identifier of the Project is RFMEFI60419X0209.
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Golovchenko, E., Yakobovskiy, M., Balashov, V., Savenkov, E. (2020). Different Partitioning Algorithms Study Applied to a Problem of Digital Rock Physics. In: Voevodin, V., Sobolev, S. (eds) Supercomputing. RuSCDays 2020. Communications in Computer and Information Science, vol 1331. Springer, Cham. https://doi.org/10.1007/978-3-030-64616-5_2
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