Application of machine learning in the analysis of seismic data to identify tectonic faults in various seismogeological conditions
The article presents the results of a comparative analysis of algorithms for automatic interpretation of tectonic faults based on seismic data recorded in various seismogeological conditions. For each type of geological section (platform, salt tectonics, marine data), a cube of the probability of vi...
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| Main Authors: | Nikolaenko, Sergey Viktorovich, Kovalenko, Andrey A., Nateganov, Andrey E., Kruk, Pavel N. K, Deryushev, Aleksandr B. |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Saratov State University
2024-03-01
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| Series: | Известия Саратовского университета. Новая серия: Серия Науки о Земле |
| Subjects: | |
| Online Access: | https://geo.sgu.ru/sites/geo.sgu.ru/files/text-pdf/2024/03/nauki_o_zemle_2024_1-49-55.pdf |
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