SEATTLE and NEW ORLEANS – At the 2015 Society of Exploration Geophysicists Annual Meeting, Cray Inc. announced it had achieved a new performance benchmark for reservoir simulations using Stone Ridge Technology’s ECHELON reservoir simulation software and the Cray CS-Storm cluster supercomputer.
ECHELON models oil, water, and gas flows in a reservoir, and is specifically designed for leveraging GPU compute architectures. It also has scalability across multiple graphics processing units (GPU). ECHELON and the Cray CS-Storm system can rapidly run high-resolution reservoir models, and Cray said the joint solution is designed to deliver higher degrees of accuracy without compromising production schedules.
With ECHELON running on Cray’s CS-Storm system, it can deliver speed that can be used by reservoir engineers to study many more realizations of their models and run large, high-resolution cases, said Vincent Natoli, founder/CEO, Stone Ridge Technology.
“We have demonstrated results on a 243 million-cell model running out 45 years on just two CS-Storm nodes completing in about two-and-a-half hours,” Natoli said. “The ability to do more in a smaller hardware footprint brings significant and welcome cost savings and productivity improvements at a very competitive time in the energy industry.”
“Speed, reliability, and scalability are all important factors, and ECHELON running on our GPU-packed Cray CS-Storm system will provide oil and gas customers with a powerful solution for successfully evaluating the potential of both new and old reservoirs,” said Bert Beals, director for Cray’s Energy segment.
Each CS-Storm chassis combines eight NVIDIA Tesla K40 or K80 GPU accelerators with Intel Xeon processors. A single chassis equipped with Tesla K80s delivers 15 teraflops of peak performance, and a full petaflop requires just three racks, Cray said.