Amplitude variation with offset (AVO) inversion is a typical ill-posed inverse problem. To
obtain a stable and unique solution, regularization techniques relying on mathematical …

Regularization is effective in mitigating the ill-condition existing in inverse problems. With
respect to the ill-conditioned prestack seismic inversion, regularization aims to stabilize the …

Absolute acoustic impedance (AI) is generally divided into background AI and relative AI for
linear inversion. In practice, the intermediate frequency components of the AI model are …

We have addressed the seismic impedance inversion problem, which is often ill posed
because of inaccurate and insufficient data. The approach taken is based on dictionary …

Seismic inversion is essentially ill-posed because of inaccurate and insufficient data.
Existing methods for improving stability and reducing the size of solution space are usually …

Acoustic impedance is a subsurface layer parameter crucial for reservoir characterization
due to its relationship with petrophysical properties. Seismic impedance inversion is the …

Many geological features of scientific and/or economic interest have structural orientations
that are neither horizontal nor vertical. Being able to recover such dip** structures from …

The seismic amplitude-versus-offset (AVO) inversion based on the total variation (TV)
regularization is used to estimate blocky solutions for elastic parameters. It is achieved by …

Seismic acoustic impedance (AI) inversion is widely used in geophysics as AI can indicate
rock characteristics and facilitate stratigraphic analysis. However, traditional AI inversion …

One-dimensional convolution is a widely used deep learning technique in prestack
amplitude variation with offset (AVO) inversion; however, it lacks lateral continuity. Although …