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GTC ON-DEMAND

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Abstract:

We leverage NVIDIA GPUs for connected components labeling and image classification applied to Digital Rock Physics (DRP), to help characterize reservoir rocks and study their pore distributions. We show on this talk how NVIDIA GPUs helped us satisfy strict real-time restrictions dictated by the imaging hardware used to scan the rock samples. We present a detailed description of the workflow from a DRP approach perspectives, our algorithm and optimization techniques and performance results on the latest NVIDIA GPU generations.

We leverage NVIDIA GPUs for connected components labeling and image classification applied to Digital Rock Physics (DRP), to help characterize reservoir rocks and study their pore distributions. We show on this talk how NVIDIA GPUs helped us satisfy strict real-time restrictions dictated by the imaging hardware used to scan the rock samples. We present a detailed description of the workflow from a DRP approach perspectives, our algorithm and optimization techniques and performance results on the latest NVIDIA GPU generations.

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Topics:
HPC and AI, HPC and Supercomputing, Video & Image Processing
Type:
Talk
Event:
GTC Europe
Year:
2017
Session ID:
23303
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Abstract:
In seismic interpretation, seismic attributes are key to better understand structural and sedimentary features present in seismic images. We study the use of GPUs to speedup seismic attribute computations. Several attributes have been ported to CUDA and integrated in Total's interpretation platform. We show how GPU computing may drastically improve the interpreter experience, reducing computation time and allowing the use of complex seismic attributes to highlight subtle features that are difficult to detect with conventional attributes.
In seismic interpretation, seismic attributes are key to better understand structural and sedimentary features present in seismic images. We study the use of GPUs to speedup seismic attribute computations. Several attributes have been ported to CUDA and integrated in Total's interpretation platform. We show how GPU computing may drastically improve the interpreter experience, reducing computation time and allowing the use of complex seismic attributes to highlight subtle features that are difficult to detect with conventional attributes.  Back
 
Topics:
Seismic & Geosciences, Video & Image Processing
Type:
Poster
Event:
GTC Silicon Valley
Year:
2015
Session ID:
P5251
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