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Technical Abstract

Seismic processing with deep convolutional neural networks: opportunities and challenges

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Deep convolutional neural networks (DCNNs) are growing their popularity in seismic data processing due to their previous achievements in signal and image processing. In this paper, we explore the link between DCNN and seismic processing. We use two examples to demonstrate the potential of the application of DCNNs to seismic processing. More importantly, we discuss challenges and issues to solve before deploying DCNNs to production, and suggest some directions of study.
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Publications

EAGE - European Association of Geoscientists and Engineers

Authors

Song Hou, Henning Hoeber

Month

August

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