Seismic data denoising and deblending using deep learning

2 Jul 2019Alan RichardsonCaelen Feller

An important step of seismic data processing is removing noise, including interference due to simultaneous and blended sources, from the recorded data. Traditional methods are time-consuming to apply as they often require manual choosing of parameters to obtain good results... (read more)

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