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Wednesday, March 15 • 4:20pm - 4:40pm
Facilities, Infrastructure & Networking: Achieving the Ultimate Efficiency for Seismic Analysis

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The pressure to reduce both operating and capital costs in seismic data analysis drives an on-going demand for efficiency improvements in computational processing facilities. This is against a background of dramatically increasing seismic data volumes. Wide/Multi/Rich-azimuth methods using multi-sensor arrays and sophisticated acquisition techniques are producing higher-fidelity subsurface images, and modern analytics techniques are enabling continued advancement in the interpretation of seismic data for both newly acquired data and historical oil field data. As a result of the volume and scale of the seismic data required for modern HPC-based seismic processing and imaging, the performance of the associated storage subsystem can be a source of the greatest overall efficiency improvements.

Seismic analysis is particularly challenging for today’s file systems due to a tendency towards large random IO and share-file IO. Therefore, improving IO efficiencies for complex seismic workloads is key. The benefit of a true parallel file system is the very high single-client performance that can be delivered and sustained even when many hundreds of clients are working concurrently

This session will share the results experimental benchmarks to attain optimal IO rates for Paradigm’s Echos application workloads.

avatar for Keith Gray

Keith Gray

Manager, High Performance Computing, BP
Keith Gray is Manager of High Performance Computing for BP. The HPC Team supports the computing requirements for BP’s Advanced Seismic Imaging Research efforts. This team supports one of the largest Linux Clusters dedicated to research in Oil and Gas. Mr. Gray graduated from Virginia Tech with a degree in geophysics, and has worked for BP and Amoco since 1985. He was listed in HPCWire’s People to Watch 2006.


Wednesday March 15, 2017 4:20pm - 4:40pm
Room 103 BRC

Attendees (9)