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Thursday, March 3 • 10:30am - 10:50am
Algorithms & Accelerators II: A High Performance Reservoir Simulator on GPU

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The resolution and complexity of reservoir simulation models are increasing continuously in order to capture the geologic heterogeneity and multiphase physics in a reservoir with more fidelity. In addition, scenarios designed to investigate uncertainty quantification, history matching, and production optimization can take considerable time and computational power on these large scale models. The excessive run times not only limits the ability to simulate multiple realizations, but also lead to longer project timelines, and can cause costly delays. Thus, an ultra fast reservoir simulator offers significant value for efficient workflows that enable rapid high precision decision making.

Stone Ridge Technology and Marathon Oil Company have developed ECHELON, a state-of-the-art GPU based reservoir simulator. The GPU implementation provides an extremely dense and efficient computational platform that can reduce the required hardware footprint and power usage. ECHELON executes all major computational tasks on GPU including property evaluation, construction and assembly of Jacobian, and the CPR-AMG linear solver. GPUs allow faster numerical simulation for multi-million cell models that can run at least an order of magnitude faster than current parallel CPU codes.

In this talk, we give field example models for assessing both performance and accuracy of ECHELON. We address several potential bottlenecks on performance and our strategies to resolve them. We will also discuss our attempt to efficiently scale reservoir simulation to the GPU cluster using a combination of CUDA and MPI. Furthermore, we discuss the workflow challenges and requirements which need to be addressed to make the best use of this high performance simulator along with other existing tools.


Thursday March 3, 2016 10:30am - 10:50am
BioScience Research Collaborative Building (BRC), Room 280 & 282

Attendees (7)