井地联合近地表品质因子场构建方法OA

Near-surface layers are typically characterized by loose structures and significant vertical and lateral variations in both thick-ness and velocity.These characteristics result in marked absorption of seismic wave energy and severe phase distortion,substantially re-ducing the signal-to-noise ratio(SNR)and resolution of acquired seismic records.The absorption properties of these layers can be de-scribed by the quality factor(Q-value).Given the complex structures of near-surface layers,constructing a precise quality factor field re-quires simultaneous consideration of their pronounced vertical and lateral variations.This study first summarized an optimization strate-gy for quality factor inversion based on data from uphole surveys by analyzing the applicability of common Q-value inversion methods.To further enhance the accuracy of near-surface quality factor field modeling,this study proposed a method for constructing precise qual-ity factor field models.This method integrates high-resolution information from uphole survey data with high sampling-rate information from reflection wave data.Tests on real data demonstrate that the proposed method effectively captures detailed variations in lateral Q-values of the layers.The compensated seismic waves exhibited broadened effective frequency bands and significantly improved seismic resolution,thereby validating the effectiveness of the presented approach.