Noise attenuation of a 3D marine seismic reflection dataset - a case study in the Southwest Black Sea region

Yıl 2023, Cilt: 172 Sayı: 172, 31 - 40, 19.12.2023

Hamza Birinci Kürşat Ergün Aslı Zeynep Yavuzoğlu , Korhan Köse Güniz Büşra Yalçın Mustafa Berkay Doğan Fatma Betül Karcı Murat Evren Ayşe Güngör Bahri Serkan Aydemir

https://doi.org/10.19111/bulletinofmre.1180869

Cited By: 1

Öz

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.

Anahtar Kelimeler

Seismic Noise Attenuation, Swell Noise, Cavitation Noise, Bird Noise, Geovation 2.0.

Teşekkür

As the team that carries out the work, we are sincerely grateful to the General Directorate of Mineral Research and Exploration which we are a part and worker of for providing us the 3D dataset and the instruments to process the data. We thank all those involved during the acquisition of the dataset on R/V Oruç Reis. We would also like to thank the anonymous reviewers who took the time to review this article.

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