Inversion of electromagnetic induction data using a 2D geophysical response function

TL;DR

This paper introduces a fast 2D response function model for electromagnetic induction data inversion, improving accuracy in characterizing trench structures with sharp conductivity transitions in geophysical surveys.

Contribution

The paper presents a novel 2D forward model for electromagnetic data inversion that accounts for sharp boundaries, enhancing parameter estimation accuracy over traditional 1D methods.

Findings

The 2D model accurately retrieves trench parameters.

The method outperforms regularized 1D inversion techniques.

Synthetic tests validate the model's effectiveness.

Abstract

Electromagnetic induction methods are a common means for geophysical survey. For soil structures that are invariant in one spatial dimension such as trench structures, we propose a fast forward model based on a 2D response function, taking into account sharp horizontal and vertical transitions in the electrical conductivity. The 2D model is used to invert trench structures from a synthetic dataset. The propsed method can determine trench parameters (width, height, steepness of the slope) more accurately than methods based on regularization of the 1D response function.