基于极端梯度提升算法的地震同相轴自动识别OA北大核心CSTPCD

This paper presents an automatic seismic event detection method based on eXtreme gradient boosting(XGBoost)by integrating intelligent strategies and leveraging the similarity characteristics of adjacent traces in seismic data.The pro-posed method is validated through programming and testing on both simple layered and complex Marmousi models.The detec-tion tests conducted on noisy data and the real data demonstrate the method̍s robustness and adaptability,even in low signal-to-noise ratio(SNR)conditions(-6.98 dB),achieving a seismic event detection precision of 90%.Additionally,single channel contrast quantitative analysis and comparison of algorithm prediction accuracy under various SNR conditions further confirm the method̍s feasibility and applicability.