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| Content Provider | ACM Digital Library |
|---|---|
| Author | Baddourah, Majdi Hayder, M. Ehtesham Sindi, Mohamad |
| Abstract | Large reservoir simulation is computationally challenging. High resolution reservoir models provide necessary realism in heterogeneous reservoirs. Large number of simulations of such models is necessary in reducing uncertainties in reservoir characterizations and creating efficient field development plans. To meet such challenges, Saudi Aramco, the world's leading oil producing company, developed a parallel reservoir simulator, POWERS [1], and built a computing center currently hosting computing power of over 300 teraflops [2]. Both reservoir simulator and computing center are world leaders in the oil industry. In this paper we review some of most innovative HPC works in the oil industry. We review computational characteristics of the POWERS simulator and benchmark results for computations of large reservoir simulation models throughout the past few years. We also share studies to enhance POWERS in various aspects such as GPU usage to solve critical computing blocks, MPI tuning, and reducing the eco footprint of the simulator. |
| Starting Page | 7 |
| Ending Page | 8 |
| Page Count | 2 |
| File Format | |
| ISBN | 9781450310307 |
| DOI | 10.1145/2148600.2148605 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2011-11-12 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Oil Pgi Saudi aramco Fermi Mpi Reservoir simulation Tesla Powers Eco friendly Accelerator directives Gpu |
| Content Type | Text |
| Resource Type | Article |
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