Deep Learning for Seismic Deblending
摘要
The significance of seismic reflection surveys in geophysical exploration cannot be understated, as they generate acoustic portrayals of the earth’s interior. Traditional seismic data acquisition emphasizes the individual collection of responses from separate seismic sources, referred to as ‘shots’. To avoid interference among these seismic responses, substantial time intervals.