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

IF 0.5 Q4 GEOSCIENCES, MULTIDISCIPLINARY

Bulletin of the Mineral Research and Exploration Pub Date : 2022-09-27 DOI:10.19111/bulletinofmre.1180869

Hamza Birinci, Kürşat Ergün, Aslı Zeynep Yavuzoğlu, Korhan Köse, Güniz Büşra Yalçin, Mustafa Berkay Doğan, Fatma Betül Karci, Murat Evren, Ayşe Güngör, B. S. Aydemir

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引用次数: 0

Abstract

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, 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 which recorded by Oruc Reis Research Vessel in Black Sea project of MTA (Mineral Research and Exploration). This study was achieved by implementing f-x prediction filter (SPARC, DENOISE3D) and f-k filter (DWATT) in t-x domain, radon filter (RADATT) in Tau-P domain by the use of Geovation 2.0 software.

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三维海洋地震反射数据集的噪声衰减——以黑海西南部地区为例

海洋地震数据中的噪声是地震成像的最大障碍之一。地震数据处理中最重要的一步是去除地震噪声，地震噪声可分为仪器噪声和背景噪声。噪声衰减通常通过提高信噪比来改善地震解释。在本研究中，我们将着重于用几种数据处理技术来衰减这些地震噪声。通过分析Oruc Reis研究船在MTA(矿物研究与勘探)黑海项目中记录的海洋三维地震数据集，说明了一些描述膨胀、弹拨/拖曳、空化(背景型噪声)和挂载设备噪声(鹦鹉螺)(仪器型噪声)的降噪示例。本研究采用geoation 2.0软件在t-x域中实现f-x预测滤波器(SPARC, DENOISE3D)和f-k滤波器(DWATT)，在Tau-P域中实现氡滤波器(RADATT)。

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来源期刊

Bulletin of the Mineral Research and Exploration GEOSCIENCES, MULTIDISCIPLINARY-

CiteScore

1.20

自引率

20.00%

发文量

审稿时长

10 weeks

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