Airborne Natural Source Electromagnetics Using an Arbitrary Base Station

Transient VRM Response from a Large Circular Loop over a Conductive and Magnetically Viscous Half-Space

A Test-Time Learning Approach to Reparameterize the Geophysical Inverse Problem with a Convolutional Neural Network

Petrophysically and geologically guided multi-physics inversion using a dynamic Gaussian mixture model

In this paper, we examine the impacts of the magnetic permeability of a steel-cased well on electromagnetic responses in grounded source experiments.

Data Quality Control Methodologies for Large, Non-Conventional DC Resistivity Datasets

Using DC Resistivity Ring Array Surveys to Resolve Conductive Structures Around Tunnels or Mine-Workings

Using convolutional neural networks to classify UXO with multicomponent electromagnetic induction data

Airborne Natural Source Electromagnetics for an Arbitrary Base Station

Using convolutional neural networks to classify UXO with multicomponent electromagnetic induction data