Year: 2025 | Month: December | Volume: 12 | Issue: 12 | Pages: 385-392
DOI: https://doi.org/10.52403/ijrr.20251243
Refining Linear Noise Suppression in 2D Marine Seismic Data Through Frequency-Wavenumber Domain Optimization
Muhammad Fahmi1, Rina Dwi Indriana2, Dhani Nur Indra Syamputra3
1,2,3Department of Physics, Faculty of Science and Mathematics, Diponegoro University, Semarang 50275, Indonesia
Corresponding Author: Muhammad Fahmi
ABSTRACT
Linear noise is one of the most persistent challenges in marine seismic acquisition, often masking shallow reflectors and degrading subsurface imaging quality. Conventional filtering approaches may suppress linear noise but frequently compromise primary reflection energy, particularly in 2D datasets with complex acquisition geometries. This study refines linear noise suppression by optimizing frequency–wavenumber (F-K) domain filtering parameters, including dip discrimination, directional cone design, and adaptive tapering. The proposed workflow enhances event separation by analyzing the noise signature in the F-K spectrum and implementing a time–offset variant F-K windowing strategy tailored to marine streamer characteristics. Results obtained from real 2D marine seismic data demonstrate significant improvements in signal-to-noise ratio, continuity of primary reflections, and preservation of steep dips. Comparative analyses against conventional F-K filtering show that the optimized approach reduces linear noise more effectively while maintaining signal fidelity. The optimized F-K strategy provides a practical and robust solution for improving the quality of 2D marine seismic data, offering insights into noise behavior and filter parameterization for future seismic processing applications.
Keywords: F-K Optimization, Linear Noise, Noise Suppression, Quality Improvement, Reflection Enhancement
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