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Event Details

  • Monday, May 22, 2017
  • 15:30 - 16:00

HPC for Multiphase Separation Flows

Saudi Aramco R&DC scientists are working on enhancing the performance of multiphase gravity separator vessels (GSV), utilizing CFD to better design the internals of these separator vessels, and enhance their separation efficiency. The multiphase CFD modeling of such an application is computationally demanding, as it needs to address the many involved phenomena, in addition to the relatively large domain sizes. Typical Saudi Aramco vessels are 40 m in length and 4 m in diameter. Typical complex features of the multiphase separation process are the poly-dispersed nature of the oil emulsion, complex emulsion rheology, transient nature of the process, and the need to resolve turbulence structures that affect droplets coalescence and breakage, etc. These competing phenomena put a high demand on computational resources. Utilization of enough parallel processes of an HPC system, such as KAUST’s supercomputer Shaheen II, should expedite the turnover rate of such simulations, which will enable Saudi Aramco engineers to explore more design options, and forecast performance of the multiphase separators under foreseen conditions. In collaboration with the KAUST Supercomputing Lab, Saudi Aramco R&DC scientists are investigating the acceleration of the turnover rate of these particular simulations when using a parallel multiphase CFD code, such as ANSYS Fluent, to predict the complex flow inside Saudi Aramco GSVs, and running the simulations on a massively parallel HPC resource such as Shaheen II. The results of the scalability study performed on Shaheen II will be presented in this talk. The results show excellent scalability until 16k cores. The results of arguably the largest run of FLUENT ever, on any supercomputer, 200k cores, will be presented as well, conditional on the results being available on the date of the presentation.