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Structure‐coupled multiphysics imaging in geophysical sciences
Multiphysics imaging or data inversion is of growing importance in many branches of
science and engineering. In geophysical sciences, there is a need for combining information …
science and engineering. In geophysical sciences, there is a need for combining information …
Marine electromagnetic studies of seafloor resources and tectonics
K Key - Surveys in geophysics, 2012 - Springer
The past decade has been a period of rapid growth for marine electromagnetic (EM)
methods, predominantly due to the industrial adoption and promotion of EM as a valuable …
methods, predominantly due to the industrial adoption and promotion of EM as a valuable …
Seismic velocity inversion transformer
Velocity model inversion is one of the most challenging tasks in seismic exploration, and an
accurate velocity model is essential for high-resolution seismic imaging. Recently, velocity …
accurate velocity model is essential for high-resolution seismic imaging. Recently, velocity …
Deep-learning seismic full-waveform inversion for realistic structural models
Velocity model inversion is one of the most important tasks in seismic exploration. Full-
waveform inversion (FWI) can obtain the highest resolution in traditional velocity inversion …
waveform inversion (FWI) can obtain the highest resolution in traditional velocity inversion …
Regularized elastic full-waveform inversion using deep learning
Elastic full-waveform inversion, which aims to match the waveforms of prestack seismic data,
potentially provides more accurate high-resolution reservoir characterization from seismic …
potentially provides more accurate high-resolution reservoir characterization from seismic …
A framework for 3-D joint inversion of MT, gravity and seismic refraction data
We present a 3-D joint inversion framework for seismic, magnetotelluric (MT) and scalar and
tensorial gravity data. Using large-scale optimization methods, parallel forward solvers and …
tensorial gravity data. Using large-scale optimization methods, parallel forward solvers and …
Joint inversion of seismic traveltimes and gravity data on unstructured grids with application to mineral exploration
Seismic methods continue to receive interest for use in mineral exploration due to the much
higher resolution potential of seismic data compared to the techniques traditionally used …
higher resolution potential of seismic data compared to the techniques traditionally used …
Employing remote sensing, data communication networks, ai, and optimization methodologies in seismology
Seismology is among the intrinsic sciences that strictly affect human lives. Many research
efforts are presented in the literature aiming at achieving risk mitigation and disaster …
efforts are presented in the literature aiming at achieving risk mitigation and disaster …
Joint inversion of multiple geophysical data using guided fuzzy c-means clustering
Joint inversion of multiple geophysical data has become an active area of research due to its
potential to greatly enhance the fidelity of inverted models. Many open questions and …
potential to greatly enhance the fidelity of inverted models. Many open questions and …
Joint inversion of potential field data with adaptive unstructured tetrahedral mesh
Inverting potential field data presents a significant challenge due to its ill-posed nature, often
leading to nonunique model solutions. Addressing this, our work focuses on develo** a …
leading to nonunique model solutions. Addressing this, our work focuses on develo** a …