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Porous Rock Simulations and Lattice Boltzmann on GPUs

Eirik O. Aksnes, and Anne C. Elster
Norwegian University of Science and Technology (NTNU), Trondheim, Norway
Parallel Computing: From Multicores and GPU’s to Petascale. IOS Press, Volume 4, 2010

@article{aksnes2010porous,

   title={Porous Rock Simulations and Lattice Boltzmann on GPUs},

   author={AKSNES, E.O. and ELSTER, A.C.},

   journal={Parallel Computing: From Multicores and GPU’s to Petascale. IOS Press},

   volume={4},

   year={2010},

   publisher={Citeseer}

}

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Investigating how fluids flow inside the complicated geometries of porous rocks is an important problem in the petroleum industry. The lattice Boltzmann method (LBM) can be used to calculate porous rockst’ permeability. In this paper, we show how to implement this method ef?ciently on modern GPUs. Both a sequential CPU implementation and a parallelized GPU implementation is developed. Both implementations were tested using three porous data sets with known permeabilities. Our work shows that it is possible to calculate the permeability of porous rocks of simulations sizes up to 368^3, which fit into the 4 GB memory of the NVIDIA Quadro FX 5800 card. Our single floating-point precision simulation resulted in respectbale 0.95-1.59 MLUPS whereas our GPU implentation achieved remarkable 180+ MLUPS for several lattices in the 160^3 to 368^3 range allowing calculations that would take hours on the CPU to be done in minutes on the GPU. Techniques for reducing round-off errors are also discussed and implemented.
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