基于启发式方法的低频空间地滚噪声衰减

D. Semin, M. Shavkunov, L.A. Kovalenko
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引用次数: 0

摘要

在Gazprom Neft,地震数据处理是一个漫长、复杂和反复的过程。该过程的一个阶段是地滚噪声衰减。实现这一目标需要专家的参与,这些专家是具有强大数学背景的地球物理学家,他们目前通过手动选择各种预定滤波器的组合来解决这一问题。公司长期从事这项工作,积累了具有代表性的人工降噪数据样本。这些信息可以用作新的过滤方法的自动假设检验。在此基础上,提出了一种基于启发式规则的地滚噪声掩模提取方法及其在傅里叶频域(FK变换)中的衰减方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ground Roll Noise Attenuation in The Low-Frequency Space Using a Heuristic Approach
Summary Seismic data processing is a long, complex and iterative process implemented at Gazprom Neft. One of the stages of this process is the ground roll noise attenuation. Implementation requires the presence in the company of specialists-geophysicists with strong mathematical background, who currently solve this problem by manually selecting combinations of various predetermined filters. The company has been dealing with this task for a long time and has accumulated a representative sample of data where manual noise attenuation has been implemented. This information can be used as an automatic hypothesis test for new filtering methods. Based on this approach, we propose a method for obtaining ground roll noise masks and a method for its attenuation in the Fourier frequency domain (FK transform) based on heuristic rules.
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