Multi-Domain Seismic Noise Reduction in 2D Land Data: A Case Study from Poland

Abstract

Seismic reflection data are often contaminated by various types of noise, particularly ground-roll, which can obscure true reflection signals and hinder data interpretation. Effective noise reduction is essential for improving the signal-to-noise ratio and revealing subsurface structures. Many noise suppression techniques rely on transforming seismic data into different domains, making it easier to separate noise from useful signals. In this study, we applied a range of algorithms across multiple domains—including shot, receiver, t-x, f-x, f-k, R-T, and offset class domains to effectively reduce both coherent and random noise in 2D seismic land data. Our results demonstrate that these multi-domain filtering methods significantly enhance seismic image quality, enabling clearer and more reliable structural and stratigraphic analysis.