| Autor: |
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 |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
Bulletin of the Mineral Research and Exploration, Vol 172, Iss 172, Pp 31-40 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
0026-4563 |
| DOI: |
10.19111/bulletinofmre.1180869 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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