When viewing the Technical Program schedule, on the far righthand side
is a column labeled "PLANNER." Use this planner to build your own
schedule. Once you select an event and want to add it to your personal
schedule, just click on the calendar icon of your choice (outlook
calendar, ical calendar or google calendar) and that event will be
stored there. As you select events in this manner, you will have your
own schedule to guide you through the week.
You can also create your personal schedule on the SC11 app (Boopsie) on your smartphone. Simply select a session you want to attend and "add" it to your plan. Continue in this manner until you have created your own personal schedule. All your events will appear under "My Event Planner" on your smartphone.
High Performance Computing Reservoir Simulation in the Oil Industry
SESSION: Research Poster Reception
EVENT TYPE: ACM Student Research Competition Poster, Poster, Electronic Poster
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Bernd Mohr
AUTHOR(S):Mohamad Sindi, Majdi Baddourah, M. Ehtesham Hayder
ROOM:WSCC North Galleria 2nd/3rd Floors
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, and built a computing center currently hosting computing power of over 300 teraflops. Both reservoir simulator and computing center are world leaders in the oil industry. In this poster 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.
Bernd Mohr (Chair) - Juelich Supercomputing Centre