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!
|
| _version_ | 1850160789278687232 |
|---|---|
| author | Nikolaenko, Sergey Viktorovich Kovalenko, Andrey A. Nateganov, Andrey E. Kruk, Pavel N. K Deryushev, Aleksandr B. |
| author_facet | Nikolaenko, Sergey Viktorovich Kovalenko, Andrey A. Nateganov, Andrey E. Kruk, Pavel N. K Deryushev, Aleksandr B. |
| author_sort | Nikolaenko, Sergey Viktorovich |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-2b6644c33c3f4ddb88843bc5b45f1932 |
| institution | OA Journals |
| issn | 1819-7663 2542-1921 |
| language | English |
| publishDate | 2024-03-01 |
| publisher | Saratov State University |
| record_format | Article |
| series | Известия Саратовского университета. Новая серия: Серия Науки о Земле |
| spelling | doaj-art-2b6644c33c3f4ddb88843bc5b45f19322025-08-20T02:23:04ZengSaratov State UniversityИзвестия Саратовского университета. Новая серия: Серия Науки о Земле1819-76632542-19212024-03-01241495510.18500/1819-7663-2024-24-1-49-55Application of machine learning in the analysis of seismic data to identify tectonic faults in various seismogeological conditionsNikolaenko, Sergey Viktorovich0Kovalenko, Andrey A.1Nateganov, Andrey E.2Kruk, Pavel N. K3Deryushev, Aleksandr B.4Branch of LLC LUKOIL-Engineering PermNIPIneft, 96 Lenina St., Volgograd 400078, RussiaLLC LUKOIL-Engineering, 96 Lenin Ave.LLC LUKOIL-Engineering, 96 Lenin Ave.LLC LUKOIL-Engineering, 96 Lenin Ave.LLC LUKOIL-Engineering, 96 Lenin Ave.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.https://geo.sgu.ru/sites/geo.sgu.ru/files/text-pdf/2024/03/nauki_o_zemle_2024_1-49-55.pdfseismic exploration of mogt-3dtectonic faultsneural networksmachine learning |
| spellingShingle | Nikolaenko, Sergey Viktorovich Kovalenko, Andrey A. Nateganov, Andrey E. Kruk, Pavel N. K Deryushev, Aleksandr B. Application of machine learning in the analysis of seismic data to identify tectonic faults in various seismogeological conditions Известия Саратовского университета. Новая серия: Серия Науки о Земле seismic exploration of mogt-3d tectonic faults neural networks machine learning |
| title | Application of machine learning in the analysis of seismic data to identify tectonic faults in various seismogeological conditions |
| title_full | Application of machine learning in the analysis of seismic data to identify tectonic faults in various seismogeological conditions |
| title_fullStr | Application of machine learning in the analysis of seismic data to identify tectonic faults in various seismogeological conditions |
| title_full_unstemmed | Application of machine learning in the analysis of seismic data to identify tectonic faults in various seismogeological conditions |
| title_short | Application of machine learning in the analysis of seismic data to identify tectonic faults in various seismogeological conditions |
| title_sort | application of machine learning in the analysis of seismic data to identify tectonic faults in various seismogeological conditions |
| topic | seismic exploration of mogt-3d tectonic faults neural networks machine learning |
| url | https://geo.sgu.ru/sites/geo.sgu.ru/files/text-pdf/2024/03/nauki_o_zemle_2024_1-49-55.pdf |
| work_keys_str_mv | AT nikolaenkosergeyviktorovich applicationofmachinelearningintheanalysisofseismicdatatoidentifytectonicfaultsinvariousseismogeologicalconditions AT kovalenkoandreya applicationofmachinelearningintheanalysisofseismicdatatoidentifytectonicfaultsinvariousseismogeologicalconditions AT nateganovandreye applicationofmachinelearningintheanalysisofseismicdatatoidentifytectonicfaultsinvariousseismogeologicalconditions AT krukpavelnk applicationofmachinelearningintheanalysisofseismicdatatoidentifytectonicfaultsinvariousseismogeologicalconditions AT deryushevaleksandrb applicationofmachinelearningintheanalysisofseismicdatatoidentifytectonicfaultsinvariousseismogeologicalconditions |