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GTC ON-DEMAND

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Abstract:
Subsurface spatial data is rapidly increasing in magnitude and in the pace at which it becomes available. At the same time, the technological capacity required to process and manage extreme data is constantly improving. We'll discuss how we're working to incorporate all relevant information into decision-making by leveraging cloud and GPU technology to process large data volumes and deploy deep learning models for geoscience and operations. That allows us to achieve high data-processing efficiency and significant time savings in traditional workflows. We'll present a high-level overview of projects in which we use GPU technology and provide a close look at our most recent implementation of GPU-Accelerated data management and 3D data visualization at scale.
Subsurface spatial data is rapidly increasing in magnitude and in the pace at which it becomes available. At the same time, the technological capacity required to process and manage extreme data is constantly improving. We'll discuss how we're working to incorporate all relevant information into decision-making by leveraging cloud and GPU technology to process large data volumes and deploy deep learning models for geoscience and operations. That allows us to achieve high data-processing efficiency and significant time savings in traditional workflows. We'll present a high-level overview of projects in which we use GPU technology and provide a close look at our most recent implementation of GPU-Accelerated data management and 3D data visualization at scale.  Back
 
Topics:
Seismic & Geosciences
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9921
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