基于数据随机重构的多通道异常幅度保留衰减及其应用

Y. Yundong, S. Qin, Z. Huahui, Q. Shuhai, L. Huan
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引用次数: 0

摘要

在一些复杂的地震勘探环境中,由于环境因素(风、草、水等)的影响,地震资料中往往含有一些连续的多道异常幅度,严重影响了地震资料的信噪比和成像质量。这种噪声具有一定的随机性,它没有一定的频率和视速度,在时间上几乎存在于整个记录长度中,但它也具有一定的确定性,即它只发生在测量中的某些特定区域。这种多通道强能量噪声由于其随机性和大量迹线的连续存在,直接在拍摄域或检测域或其他域的保幅条件下很难完全去除,残留的强能量噪声仍将严重影响最终成像质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multichannel Abnormal Amplitude Reserving Attenuation Based on Data Random Reconstruction and Its Application
In some complex seismic exploration environment , seismic data often contains some continuous multichannel abnormal amplitudes caused by environment factor (wind, grass, water, etc.), which seriously affects the signal-to-noise ratio and imaging quality of seismic data. This kind of noise has certain randomness, it has no certain frequency and apparent velocity, existing almost in the whole record length in time, but it also has some determined properties, which is it happens in some certain areas in survey. Due to the random properties and the continuous existence in a large number traces, it is very hard to remove this kind of multi-channel strong energy noise completely under the amplitude preserved conditions directly in shot domain or detection domain or other domain, and the residual strong energy noise will still seriously affects the final imaging quality.
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