Abstract
This paper presents our work on simulation of large-scale reservoir models on IBM Blue Gene/Q and studying the scalability of our parallel reservoir simulators. An in-house black oil simulator has been implemented. It uses MPI for communication and is capable of simulating reservoir models with hundreds of millions of grid cells. Benchmarks show that our parallel simulators are thousands of times faster than sequential simulators that are designed for workstations and personal computers, and these simulators have excellent scalability.
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Acknowledgements
The support of Department of Chemical and Petroleum Engineering, University of Calgary and Reservoir Simulation Group is gratefully acknowledged. The research is partly supported by NSERC/AIEE/Foundation CMG and AITF Chairs.
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Liu, H., Wang, K., Chen, Z. (2016). Large-Scale Reservoir Simulations on IBM Blue Gene/Q. In: Xie, J., Chen, Z., Douglas, C., Zhang, W., Chen, Y. (eds) High Performance Computing and Applications. HPCA 2015. Lecture Notes in Computer Science(), vol 9576. Springer, Cham. https://doi.org/10.1007/978-3-319-32557-6_2
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DOI: https://doi.org/10.1007/978-3-319-32557-6_2
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