Deep Convolutional Neural Network With Attention Module for Seismic Impedance Inversion
Vineela Chandra Dodda,
Lakshmi Kuruguntla,
Anup Kumar Mandpura
et al.
Abstract:Seismic inversion is an approach to obtain the physical properties of the earth layers from the seismic data which aids in reservoir characterization. In seismic inversion, spatially variable physical parameters such as impedance (Z), wave velocities (Vp, Vs) and density can be determined from the seismic data. Among these, impedance is an important parameter used for lithology interpretation. However, the inversion problem is nonlinear and ill-posed due to unknown seismic wavelet, observed data band limitatio… Show more
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