Pre-stack sea bottom detection and swell correction within an expected hyperbolic range for noisy high-resolution 8-channel airgun seismic data

This study explores the application of the single-channel seismic (SCS) method for offshore wind farm site assessments in China’s Beibu Gulf region, addressing the limitations of traditional drilling through an innovative data processing workflow. Given the increasing global demand for renewable energy and China’s leadership in offshore wind capacity, there’s a significant push towards exploiting the Beibu Gulf’s wind resources. However, the area’s complex geological challenges, such as thick sand layers and significant stratification differences, necessitate advanced exploration techniques. This research introduces a tailored data processing workflow comprising signal-to-noise ratio enhancement, swell correction, multiple wave suppression, amplitude compensation, and layer identification. This approach aims to reduce exploration costs, minimize environmental impacts, and support the strategic expansion of offshore wind energy in geologically challenging environments. The findings indicate a promising avenue for enhancing the accuracy and efficiency of offshore wind farm site assessments, contributing to the sustainable development of renewable energy resources.

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Seismic Swell Effect Correction Using GVF-Based Guideline

Lim,

Ha,

Shin

et al. 2024

JEEG

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Swells in marine seismic data disrupt the continuity of the reflection events and make interpretation difficult. The swell effect removal process consists of sea-bottom detection and correction, which removes the swell effect by shifting the detected sea-bottom signal to the known or estimated seafloor location. The quality of correction depends on the accuracy of the sea-bottom detection. Since general sea-bottom signal detection techniques have been applied directly after pre-processing, many mispick scenarios exist due to the characteristics of the data, and additional processes are needed. This study proposes a method for accurately detecting sea-bottom reflection signals using the guideline. The errors are caused by mistaking other reflection events as sea-bottom signals. The guideline can improve detection accuracy by providing rough event times of sea-bottom reflection. The guideline was extracted from the gradient vector flow (GVF) technique, a segmentation method in image processing. In the GVF data, the seafloor signals are smoothed, and the energy is focused on the sea bottom. The threshold method detected sea-bottom signals in the range after the guideline. The detected signals were shifted to estimated seafloor locations to attenuate the swell effect. The GVF-based guideline (GVF-GL) method was applied to field data acquired by the airgun and chirp sources with different frequencies. The sea-bottom location was successfully detected, and the continuity of the sea-bottom and subsurface signals in the section was improved.

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Pre-stack sea bottom detection and swell correction within an expected hyperbolic range for noisy high-resolution 8-channel airgun seismic data

Cited by 3 publications

References 19 publications

Application of broadcast RTK for automated static correction in 3D sub-bottom profiling

Application of broadcast RTK for automated static correction in 3D sub-bottom profiling

Advancing Offshore Wind Farm Site Assessments in Guangxi using Single-Channel Seismic Method

Seismic Swell Effect Correction Using GVF-Based Guideline

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