Conventional Q estimation methods are often affected by factors such as frequency band,wavelet superposition,and noise.To address these issues,this paper introduces a novel Q-value estimation method called the amplitude spectrum area difference(ASAD)method,based on Taylor series expansion of the amplitude exponent factor at various orders.This method,along with the logical spectrum area difference(LSAD),is applied to the real pre-stack CMP gather data.Results indicate that the ASAD method,especially at 1st-4th order,shows reduced sensitivity to frequency band limitations,wavelet imperfection,and noise interference compared to the LSAD method.Additionally,the ASAD method is effective for process-ing post-stack complex seismic data,yielding accurate Q estimations.The Q values obtained using the 2nd-4th order of AS-AD method are consistent,and inverse Q filtering based on these values enhances the continuity of seismic wavelet events and improves the precision of seismic imaging.
关键词
地震子波/Q值估计/泰勒级数展开/振幅谱/稳定性/抗噪性
Key words
seismic wavelet/Q estimation/Taylor series expansion/amplitude spectrum/stability/noise interference
维普
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