基于高频信号识别算子的多道反演吸收补偿OA

The reduction in seismic resolution caused by earth absorption,known as Q effect,is characterized by frequency-dependent amplitude attenuation and velocity dispersion.Inverse Q-filtering serves as a fundamental technique for attenuation compensation to enhance seismic resolution.However,high-frequency noises pose a trade-off for conventional methods as enhancing resolution inevitably degrades signal-to-noise ratio,thereby limiting their performance.To address this issue,we propose a multi-trace absorption compensation framework for the accurate stable recovery of seismic high-frequency components.A signal identification operator,expressed as a prediction error filter,is derived from attenuation data by leveraging the intrinsic mapping between low-frequency and high-frequency components.This operator captures inter-frequency dependencies and is integrated into the inversion objective function as a robust constraint for the precise recovery of high-frequency structures.Synthetic and field tests demonstrate the method's performance in achieving high-resolution seismic data with an improved signal-to-noise ratio.