Band-Pass Filtering of CRP Gathers in ColchisFM

来源: | Author: Colchis Petro | Release Time: 2025-04-03 | 20 次浏览 | 分享到:

Band-pass filtering is a signal filtering method that combines both low-pass and high-pass characteristics. It is primarily used to extract signal components within a specific frequency range while eliminating unwanted low-frequency and high-frequency noise. Common types of band-pass filters include Butterworth, Chebyshev, and Elliptical band-pass filters.

When optimizing band-pass filtering algorithms, it is essential to consider the spectral characteristics of seismic events and select an appropriate filter type and passband range to achieve precise seismic data processing results.

The following comparison illustrates the effectiveness of band-pass filtering in the gather optimization process of ColchisFM using actual gather data:

F-X Transform for Random Noise Attenuation in CRP Gathers

F-X deconvolution or F-X prediction-based noise suppression methods are designed to remove random noise based on the linear dip characteristics of coherent seismic events in the F-X (Frequency-Space) domain. By applying a complex Wiener filter at each frequency, the complex sequence of samples at the same frequency in each Fourier transform can be effectively predicted. In practical applications, appropriate time and spatial windows are used for data processing.

The following comparison demonstrates the effectiveness of random noise attenuation in ColchisFM using actual gather data:

Purpose of Filtering in Seismic Data Processing

The primary objective of filtering is to remove noise and suppress seismic interference waves. Digital seismic filtering aims to enhance data quality, extract useful information, and reduce interference noise, ultimately improving the understanding and interpretation of seismic events.

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