Prestack seismic inversion can be regarded as an optimization problem, which minimizes
the error between the observed and synthetic data under the premise of certain geological …

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 …

Neural networks are commonly used for poststack and prestack seismic inversion. With
sufficient labeled data, the neural network-based seismic inversion results are more …

Seismic inversion in geophysics is an effective way to obtain underground rock properties
from seismic survey data on the Earth's surface. In particular, we can obtain much more …

Seismic acoustic impedance inversion plays an important role in subsurface quantitative
interpretation. Due to the band-limited property of the seismic record and the discretization of …

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 …

Recently, multi-trace impedance inversion has attracted great interest in seismic exploration
because it improves the horizontal continuity and fidelity of the inversion results by exploiting …

Prestack seismic inversion has emerged as a powerful technique for reconstructing
parameters attribute to the subsurface properties and building the geophysical parameter …

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 prospecting has been widely used in the exploration and development of
underground geological resources, such as mineral products (ex, coal, uranium deposit), oil …