Machine Learning at Scale for Full Waveform Inversion at PGS

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Seismic imaging in the ultra-deep Gulf of Mexico is incredibly challenging: The hydrocarbon-bearing sedimentary rocks are deep and buried under evaporite salt domes and geological layers that come in complex shapes and feature strong acoustic impedance and velocity contrasts. Proper imaging requires application of advanced velocity model-building techniques to address not only velocity variations, but also seismic velocity anisotropy. Then wave propagation must be performed with numerical schemes that accurately model reflections, refractions and even converted waves. While such features are known (and advanced) textbook examples of wave propagation in complex media, computing them requires massive supercomputer resources and clever ... [ Read More ]

Remote Visualization Supports the Global Workforce: Let’s Move Pixels Rather Than Data

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Do you have larger and larger datasets, widely dispersed users, ever-shrinking IT support? If your answer to any of these is yes, have you tried remote visualization? Remote visualization moves pixels, not data, leaving the data safely in the datacenter; frees up network bandwidth; and typically improves performance with the application and the data co-located. HPC users want much more from the jobs they run: printouts from simulations, tests and analyses are no longer satisfying. Users want to see visual representations, and until recently "“fat” workstations on their desktops were the only option. Today, the most common approach is to provide CPU/GPU power when the user wants it — but as dataset size increases, there can be delays ... [ Read More ]

Expanding the Envelope for LS-DYNA Blade Off Simulations

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When a fan or compressor blade fails in an airplane jet engine, it’s a potentially deadly event. Failed blades release high-energy fragments that can perforate the engine case, damage fuel tanks and cause catastrophic failures. Because of this extreme danger, the Federal Aviation Administration requires that engine cases be capable of containing blade fragments. In turn, it makes “fan blade off containment” a critical design requirement for the aerospace industry. Of course, improving fan blade off containment simulation also makes for a compute challenge for users of Cray® XC™ supercomputer and the finite element application LS-DYNA®. So a team from Cray and Livermore Software Technology Corporation (LSTC) got together recently to study ... [ Read More ]

Cray System Shows Huge Runtime Reductions on SeisSpace ProMAX

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To all of the doodlebuggers, geologists, geophysicists, engineers and exploration IT folks out there, I have a question for you — well, maybe a few.  Is your compute and exploration application environment ready for exascale? Are you ready for seismic surveys that are multisource, multi-azimuth, with thousands of sensors, and 500 TB to 1 PB in size? Are your new spectral algorithms capable of functioning in your current environment without breaking the system architecture? These are the questions you should be asking yourself right now. As an avid watcher and participant in the exploration industry, the barometers I use to determine where the industry is headed are the exploration service companies and industry ISVs. Both Halliburton and ... [ Read More ]

Leveraging Advanced Technology for Algorithmic Trading (Trading Smarter, part 1)

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  Low latency and advanced analytic technologies are the primary influence in today’s capital markets.  This is the first in a series of blog posts to discuss trends in algorithmic trading markets and the technologies available for visionary firms to make that quantum leap and emerge as an industry leader — a leader that not only trades faster, but makes better trading decisions faster. In short, a leader that is fast and smart. A few key facts: Fact 1: Algorithmic trading continues to capture the majority share of trading volume. Fact 2: While HFT and passively managed, low-cost funds continue to generate the majority of the profits, even these sectors are experiencing margin pressures. By any measure, HFT ... [ Read More ]