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 presents several case studies where deep learning models outperformed traditional algorithms. For seismic acquisition, generative adversarial networks (GANs) were used to effectively reconstruct missing seismic traces from incomplete data, improving imaging quality. For seismic processing, a deep learning model called N2N-Seismic was developed for noise attenuation, achieving better results than conventional methods. Overall, the document argues that deep learning can help overcome limitations in geophysics by learning patterns beyond what is modeled by traditional physics-based approaches.
Detailed Information
| Author: | ['MEME KHAN'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 27 |
| Language: | English |
| Format: | |
| Price: | FREE |
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