Noise attenuation of a 3D marine seismic reflection dataset - a case study in the Southwest Black Sea region
Noises in marine seismic data are one of the biggest obstacles in seismic imaging. The most significant step in seismic data processing is the removal of seismic noise, which can be classified as instrument and background noise. Noise attenuation usually results in improved seismic interpretation by...
Main Authors: | , , , , , , , , , |
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Format: | Article |
Language: | English |
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General Directorate of Mineral Research and Exploration
2023-12-01
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Series: | Bulletin of the Mineral Research and Exploration |
Subjects: | |
Online Access: | https://dergipark.org.tr/tr/download/article-file/2674182 |
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author | Bahri Serkan Aydemir Ayşe Güngör Murat Evren Fatma Betül Karcı Mustafa Berkay Doğan Güniz Büşra Yalçın Korhan Köse Aslı Zeynep Yavuzoğlu Kürşat Ergün Hamza Birinci |
author_facet | Bahri Serkan Aydemir Ayşe Güngör Murat Evren Fatma Betül Karcı Mustafa Berkay Doğan Güniz Büşra Yalçın Korhan Köse Aslı Zeynep Yavuzoğlu Kürşat Ergün Hamza Birinci |
author_sort | Bahri Serkan Aydemir |
collection | DOAJ |
description | Noises in marine seismic data are one of the biggest obstacles in seismic imaging. The most significant step in seismic data processing is the removal of seismic noise, which can be classified
as instrument and background noise. Noise attenuation usually results in improved seismic interpretation by increasing the signal-to-noise ratio. In this study, we will focus on attenuating these
seismic noises with several data processing techniques. A number of denoising examples describing swell, strumming/tugging, and cavitation, which are background-type noises, and streamer-mounted device noise (Nautilus), which is an instrument-type noise, were illustrated by analysing a marine 3D seismic dataset recorded by Oruç Reis Research Vessel in Black Sea project of Mineral Research and Exploration (MTA). This study was achieved by implementing an f-x prediction filter (SPARC, DENOISE3D) and f-k filter (DWATT) in the t-x domain, and radon filter (RADATT) in Tau-P
domain by the use of Geovation 2.0 software. |
first_indexed | 2024-03-08T21:16:44Z |
format | Article |
id | doaj.art-e290a610b9c849eab3c9031f438856da |
institution | Directory Open Access Journal |
issn | 0026-4563 |
language | English |
last_indexed | 2024-03-08T21:16:44Z |
publishDate | 2023-12-01 |
publisher | General Directorate of Mineral Research and Exploration |
record_format | Article |
series | Bulletin of the Mineral Research and Exploration |
spelling | doaj.art-e290a610b9c849eab3c9031f438856da2023-12-21T16:28:00ZengGeneral Directorate of Mineral Research and ExplorationBulletin of the Mineral Research and Exploration0026-45632023-12-01172172314010.19111/bulletinofmre.118086976Noise attenuation of a 3D marine seismic reflection dataset - a case study in the Southwest Black Sea regionBahri Serkan Aydemir0Ayşe Güngör1Murat Evren2Fatma Betül Karcı3Mustafa Berkay Doğan4Güniz Büşra Yalçın5Korhan Köse6Aslı Zeynep Yavuzoğlu7Kürşat Ergün8Hamza Birinci9MADEN TETKİK ve ARAMA GENEL MÜDÜRLÜĞÜMADEN TETKİK ve ARAMA GENEL MÜDÜRLÜĞÜMADEN TETKİK ve ARAMA GENEL MÜDÜRLÜĞÜMADEN TETKİK ve ARAMA GENEL MÜDÜRLÜĞÜMADEN TETKİK ve ARAMA GENEL MÜDÜRLÜĞÜMADEN TETKİK ve ARAMA GENEL MÜDÜRLÜĞÜMADEN TETKİK ve ARAMA GENEL MÜDÜRLÜĞÜMADEN TETKİK ve ARAMA GENEL MÜDÜRLÜĞÜMADEN TETKİK ve ARAMA GENEL MÜDÜRLÜĞÜMADEN TETKİK ve ARAMA GENEL MÜDÜRLÜĞÜNoises in marine seismic data are one of the biggest obstacles in seismic imaging. The most significant step in seismic data processing is the removal of seismic noise, which can be classified as instrument and background noise. Noise attenuation usually results in improved seismic interpretation by increasing the signal-to-noise ratio. In this study, we will focus on attenuating these seismic noises with several data processing techniques. A number of denoising examples describing swell, strumming/tugging, and cavitation, which are background-type noises, and streamer-mounted device noise (Nautilus), which is an instrument-type noise, were illustrated by analysing a marine 3D seismic dataset recorded by Oruç Reis Research Vessel in Black Sea project of Mineral Research and Exploration (MTA). This study was achieved by implementing an f-x prediction filter (SPARC, DENOISE3D) and f-k filter (DWATT) in the t-x domain, and radon filter (RADATT) in Tau-P domain by the use of Geovation 2.0 software.https://dergipark.org.tr/tr/download/article-file/2674182seismic noise attenuationswell noisecavitation noisebird noisegeovation 2.0. |
spellingShingle | Bahri Serkan Aydemir Ayşe Güngör Murat Evren Fatma Betül Karcı Mustafa Berkay Doğan Güniz Büşra Yalçın Korhan Köse Aslı Zeynep Yavuzoğlu Kürşat Ergün Hamza Birinci Noise attenuation of a 3D marine seismic reflection dataset - a case study in the Southwest Black Sea region Bulletin of the Mineral Research and Exploration seismic noise attenuation swell noise cavitation noise bird noise geovation 2.0. |
title | Noise attenuation of a 3D marine seismic reflection dataset - a case study in the Southwest Black Sea region |
title_full | Noise attenuation of a 3D marine seismic reflection dataset - a case study in the Southwest Black Sea region |
title_fullStr | Noise attenuation of a 3D marine seismic reflection dataset - a case study in the Southwest Black Sea region |
title_full_unstemmed | Noise attenuation of a 3D marine seismic reflection dataset - a case study in the Southwest Black Sea region |
title_short | Noise attenuation of a 3D marine seismic reflection dataset - a case study in the Southwest Black Sea region |
title_sort | noise attenuation of a 3d marine seismic reflection dataset a case study in the southwest black sea region |
topic | seismic noise attenuation swell noise cavitation noise bird noise geovation 2.0. |
url | https://dergipark.org.tr/tr/download/article-file/2674182 |
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