Download Deep Learning Realm For Geophysics: Seismic Acquisition, Processing, Interpretation, and Inversion PDF Free - Full Version
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About Deep Learning Realm For Geophysics: Seismic Acquisition, Processing, Interpretation, and Inversion
This document discusses applying deep learning techniques to various areas of geophysics, including seismic acquisition, processing, interpretation, and inversion. It first discusses using generative adversarial networks (GANs) for seismic data interpolation to improve data sampling and reduce aliasing effects. The document presents examples showing GANs can produce higher quality seismic images with fewer traces. It then discusses using a deep learning model called N2N-Seismic for noise attenuation in seismic processing, which outperforms conventional methods according to various metrics. Finally, it notes deep learning can provide new approaches to challenges in geophysics that have not been fully addressed by traditional methods.
Detailed Information
| Author: | ['Andres Vinces'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 26 |
| Language: | English |
| Format: | |
| Price: | FREE |
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