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本文提出了一种利用窄带子波扫描探测隐蔽圈闭的方法及可视化处理技术。这个窄带子波就是地震子波与小波算子的褶积，数值计算结果表明，利用窄带子波记录及某些特征参数可以清晰准确地显示厚度等于甚至小于λ／１００异常地质体的横向变化。对一系列窄带子波记录进行特定的处理后可以对厚度为λ／８地质体的记录进行高分辨率重构。综合应用窄带子波记录及重构记录的不同分辨率特征，可以有效地识别某些细薄的隐蔽圈闭。
In this paper, we propose a method to detect hidden traps using narrow-band wavelet scanning and visualization techniques. The narrow-band wavelet is the convolution of seismic wavelet and wavelet operator. The numerical results show that the narrow-band wavelet recording and some characteristic parameters can clearly and accurately show the horizontal variation of geological body with thickness equal to or less than λ / 100. After a series of narrow-band wavelet records are processed specifically, high-resolution reconstruction of records with a thickness of λ / 8 can be performed. The comprehensive application of narrowband wavelet records and reconstructed records of different resolution characteristics, can effectively identify some of the thin hidden trap.