Joint Inversion of Electrical and Electromagnetic data including IP: a Methodological breakthrough

This study focuses on the joint inversion of Electrical and Electromagnetic (EEM) data, specifically galvanic and inductive measurements, within a unified inversion framework. The proposed joint inversion includes both galvanic and inductive datasets in the data space, with the modelling accounting for induced polarization (IP) effects. This joint inversion procedure is first assessed using synthetic models and then applied to a field case study involving AEM and high-density geophysical coverage. The results consistently show that joint inversion yields models with enhanced resolution, capturing both high and low electrical conductivity features more precisely compared to independent models. The joint model is validated using borehole data, including EM geophysical logging and lithological descriptions, confirming the methodology's effectiveness. This study highlights the potential of joint inversion techniques to provide comprehensive and reliable subsurface models, crucial for geophysical applications especially in complex geological settings.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-11
DOI
https://doi.org/10.5281/zenodo.13918193
Primary Topic
Geophysical and Geoelectrical Methods
Type
article
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article

Joint Inversion of Electrical and Electromagnetic data including IP: a Methodological breakthrough

Zenodo (CERN European Organization for Nuclear Research)
Geophysical and Geoelectrical Methods
article

Joint Inversion of Electrical and Electromagnetic data including IP: a Methodological breakthrough

article en

Abstract

This study focuses on the joint inversion of Electrical and Electromagnetic (EEM) data, specifically galvanic and inductive measurements, within a unified inversion framework. The proposed joint inversion includes both galvanic and inductive datasets in the data space, with the modelling accounting for induced polarization (IP) effects. This joint inversion procedure is first assessed using synthetic models and then applied to a field case study involving AEM and high-density geophysical coverage. The results consistently show that joint inversion yields models with enhanced resolution, capturing both high and low electrical conductivity features more precisely compared to independent models. The joint model is validated using borehole data, including EM geophysical logging and lithological descriptions, confirming the methodology's effectiveness. This study highlights the potential of joint inversion techniques to provide comprehensive and reliable subsurface models, crucial for geophysical applications especially in complex geological settings.

Zenodo (CERN European Organization for Nuclear Research)
University of Milan (IT)
Openalex Percentile: Top 58%
Geophysical and Geoelectrical Methods
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