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 ]

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 ]

Boosting Productivity and Reducing Costs in Petroleum E&P

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For the month of April, I am fulfilling a long-time dream of living in Florence and learning the Italian language. I’ve been thinking about the vastly different world it was when my grandparents left Italy in the 1930s. I arrived comfortably by air in about seven hours, while it took weeks for them to cross the ocean on a ship. Vast technological advances allow me to communicate real-time with my family and my office essentially at will from almost anywhere in the world. However, a mere two generations back, it took months for letters to cross the Atlantic. There is great value in speed and in embracing the technology that enables it, as the benefits can be both disruptive and transformative to our life experience. In the field of ... [ Read More ]

Top 5 Blog Posts From 2015

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Happy New Year! Check out some of the top blog posts from 2015: Why Do Better Forecasts Matter? Meteorologists have been striving to increase the accuracy of their work since the first weather forecasts were issued in the mid-19th century by pioneers such as Robert FitzRoy. In the 1950s and 1960s, the development of computers and observational technologies enabled forecast generation using the numerical weather prediction theories of Vilhelm Bjerknes and Lewis Fry Richardson. Today the numerical models that support our weather and climate forecasts are true “grand challenge” problems, requiring on the order of 10,000 billion (1016) mathematical operations and the exchange of 150 billion (1.5 x 1014) bytes of information to generate a ... [ Read More ]