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 …

Detecting, real-time monitoring and early warning of underground water-bearing structures
are critically important issues in prevention and mitigation of water inrush hazards in …

Develop a Greater Understanding of How and Why Surface Wave Testing Works Using
examples and case studies directly drawn from the authors' experience, Surface Wave …

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 …

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 …

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 …

Deep learning is applied to assist the joint inversion for audio-magnetotelluric and seismic
travel time data. More specifically, deep residual convolutional neural networks (DRCNNs) …

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 …

Globally, unconventional hydrocarbons, known for the symbiosis of their hydrocarbon
source and reservoir, pose significant seismic exploration challenges due to their confined …

Cross‐hole radar tomography is a useful tool for map** shallow subsurface electrical
properties viz. dielectric permittivity and electrical conductivity. Common practice is to invert …