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Thursday, March 6 • 4:30pm - 6:30pm
Poster: GPU accelerated Lattice Boltzmann Method in Core Sample Analysis, Zheng Wang, Rice University

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Lattice Bolzmann Method(LBM) is a relatively new computational method for fluid simulation. From a microscopic and mesoscopic prospective, LBM discretizes the velocity into finite directions and simulates particles in collision and propagation processes. Since the LBM is particularly successful in handling complex boundary conditions, it is now used in the oil industry. In my project, LBM is applied in core sample analysis. The core sample firstly goes through a scanner and is reconstructed into digital data. By applying LBM on the digital data, we can find out some physical properties of rocks, such as Renolds number and permeability which are very useful in oil industry. However, the LBM is usually computationally intensive. An ordinary serial code is not adequate in implementing a high resolution LBM. To simulate the fluid in a short time, we employ the technology of GPU programming which is the trend in high performance computing. By using GPU, the parallel code can be hundreds of times faster than a serial code and this allows us to apply LBM in more general cases. In addition, a combination of GPU and MPI enables the code to run on cluster and solves the memory issue.


Thursday March 6, 2014 4:30pm - 6:30pm PST
BRC Exhibit Hall Rice University 6500 Main Street at University, Houston, TX 77030