Automatic QC of denoise processing using a machine learning classification

摘要

Noise attenuation is an important part of a typical seismic data processing sequence. The general purpose of noise attenuation is to improve the resolution of seismic images. It can also be used to pre-condition the data prior to the application of certain processes to avoid the generation of artefacts. For example, applying a de-bubbling filter to marine seismic data that contains moderate swell noise will create visible low-frequency artefacts in the output. Therefore, adequately removing the swell noise with techniques similar to the one proposed by Bekara and van der Baan (2010) is a prerequisite before applying such a process.