Deep compressed learning for 3D seismic inversion
Deep compressed learning for 3D seismic inversion
We consider the problem of 3D seismic inversion from prestack data using a very small number of seismic sources. The proposed solution is based on a combination of compressed sensing and machine learning frameworks, known as compressed learning (Calderbank et al., 2009; Calderbank and Jafarpour, 2012; Zisselman et al., 2018; …