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...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Saratov State University
2024-03-01
|
| 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 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | 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 violations by an analytical algorithm and using trained neural networks was calculated. |
|---|---|
| ISSN: | 1819-7663 2542-1921 |