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叠后烃检技术是通过小波变换、广义S变换等时频分析方法从时频域角度对地震信号特征进行分解和描述,并且通过烃类指示参数直观表现地震波在遇油气介质产生的“高频衰减,低频增加”特征。本文主要以A地区含油气井为检验靶区,通过对时频分析方法对比分析,优选出匹配追踪算法,证实匹配追踪算法能够较准确分析时频谱,以至烃类检测的吻合率明显提高。
The post-stack hydrocarbon detection technology decomposes and describes the characteristics of seismic signals from the time-frequency domain through time-frequency analysis methods such as wavelet transform and generalized S transform, and visually indicates the seismic wave “ Frequency attenuation, low frequency increase ”feature. In this paper, we mainly take the oil and gas wells in A area as the test target area. By comparing and analyzing the time-frequency analysis methods, the matching pursuit algorithm is optimized, which shows that the matching pursuit algorithm can accurately analyze the time-frequency spectrum and improve the coincidence rate of hydrocarbon detection.