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A Leap in Scientific Computing for Reservoir Simulation: Harnessing GPU and Cloud Resources

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Course Credit: 0.15 CEU, 1.5 PDH

The oil and gas industry is experiencing an exciting and unprecedented time of innovation in scientific computing. Our ability to record, transmit, process, and interpret vast amounts of data is ever increasing and the use of advanced computing resources has become a key technology differentiator for many companies.

This session focuses on existing and future GPU processing and cloud resources in the reservoir simulation field. Join an interactive conversation with two industry technology leaders to learn more about their experiences developing and adopting game-changing applications and workflows to improve reservoir forecasting. Gain insights about the challenges and rewards of harnessing new technologies to liberate and integrate multi-disciplinary data, accelerate computing time, and reduce cycle time to make decisions.

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 1 chapter
  1 downloadable resource

Course Chapters

  • 1A Leap in Scientific Computing for Reservoir Simulation: Harnessing GPU and Cloud Resources - Chapter 1
    Media Type: Video

Credits

Earn credits by completing this course0.15 CEU credit1.5 PDH credits

Speakers

Barış Güyagüler
John Godlewski
Nefeli Moridis