Aliasing interference suppression in single-vessel dual-source slip-sweep acquisition

This study addresses the common problem of aliasing interference in marine seismic exploration using single-vessel dual-source slip-sweep acquisition. Through the analysis of its spatial characteristics and temporal distribution patterns, we identify its strong coherence in common-receiver and common-shot gathers, weak coherence with low randomness in common-offset and common-midpoint gathers, and strong energy with broad band in near-offset gathers. Based on these findings, we develop a multi-stage optimized suppression strategy, which integrates linear predictive modeling, frequency-division energy-constrained near-offset strong energy suppression, and α-trimmed vector median filtering. This method leverages the heterogeneity of aliasing interference across different domains to enable directional modeling and frequency-adaptive suppression of complex aliasing artifacts, thus significantly improving interference suppression and signal preservation. In addition, it is superior to conventional methods in handling non-random aliases. Field applications demonstrate that the proposed method effectively mitigates aliasing-induced artifacts in seismic data, preserves essential signal spectra, and enhances overall signal-to-noise ratio. The processed data establish a robust foundation for subsequent seismic imaging and interpretation. This research provides substantial practical value for improving marine seismic data quality and imaging precision.