Japan Geoscience Union Meeting 2015

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Oral

Symbol S (Solid Earth Sciences) » S-TT Technology & Techniques

[S-TT55] Creating future of solid Earth science with high performance computing (HPC)

Wed. May 27, 2015 2:15 PM - 4:00 PM 103 (1F)

Convener:*Takane Hori(R&D Center for Earthquake and Tsunami, Japan Agency for Marine-Earth Science and Technology), Yoshiyuki Kaneda(Japan Agency for Marine-Earth Science and Technology), Muneo Hori(Earthquake Research Institute, University of Tokyo), Ryota Hino(International Research Institute of Disaster Science, Tohoku University), Taro Arikawa(Port and Airport Research Institute), Masaru Todoriki(Center for Integrated Disaster Information Research / Earthquake Research Institute, The University of Tokyo), Chair:Takane Hori(R&D Center for Earthquake and Tsunami, Japan Agency for Marine-Earth Science and Technology)

3:45 PM - 4:00 PM

[STT55-06] Two-phase flow simulation in the large digital rock by using high performance cluster

Fei JIANG1, *Takeshi TSUJI1 (1.I2CNER, Kyushu University)

Keywords:Digital rock, lattice Boltzmann method, two-phase simulation, GPU, CO2 storage

A numerical implementation based on a Graphics Processing Unit (GPU) is proposed for the acceleration of the two-phase simulation using Lattice Boltzmann Method (LBM). The LBM yields regular, data-parallel computations; therefore, it is especially well fitted to GPU calculations. This study focuses on the application of the LBM for fluid displacement computations in real rock sample. For this purpose, the digital rock model is reconstructed from the micro-CT scanned images of reservoir sample with a resolution of 2.0 um. In order to obtain reliable and accurate results from the developed numerical model, the computational domain must be large enough to cover the representative element size (REV) of sample rock. As a result, pore scale LBM simulation of multiphase porous medium systems with sufficient resolution and large grid-number are very computationally challenging. To achieve this extremely large-scale simulation, multi-GPU parallel scheme by using CUDA and MPI is developed. Careful optimizations include sparse storage scheme, efficient domain decomposition and non-blocking communication are desired for algorithm implementation. Finally, we succeeded to perform a two-phase simulation with 10 billion (1000 x1000x1000) mesh sizes using a small-scale GPU cluster. The developed large-scale simulation method enables the direct upscaling from pore scale to core scale which is a very powerful tool for many engineering applications such as enhanced oil recovery (EOR) and Carbon Capture and Storage (CCS).