Modelling IP in Tempest data: the first preliminary steps and insights

IP effects are to be expected in Tempest AEM data, similarly to other systems'. We carry out extensive synthetic modelling that confirms it. We then present modelling of IP in delivered B field data and show that an improved result is obtained compared to those obtained without taking IP into account, when compared to both other geophysical data and geological data. We anticipate that IP modelling may produce more accurate results if applied to data that is differently processed.

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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.13918378
Primary Topic
Geophysical and Geoelectrical Methods
Type
article
Field-Weighted Citation Impact
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article

Modelling IP in Tempest data: the first preliminary steps and insights

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

Modelling IP in Tempest data: the first preliminary steps and insights

article en

Abstract

IP effects are to be expected in Tempest AEM data, similarly to other systems'. We carry out extensive synthetic modelling that confirms it. We then present modelling of IP in delivered B field data and show that an improved result is obtained compared to those obtained without taking IP into account, when compared to both other geophysical data and geological data. We anticipate that IP modelling may produce more accurate results if applied to data that is differently processed.

Zenodo (CERN European Organization for Nuclear Research)
Commonwealth Scientific and Industrial Research Organisation (AU), University of Milan (IT), Consorzio Pisa Ricerche (IT), Prolog Development Center (DK), Machining Centers Manufacturing (Italy) (IT)
Climate action
Openalex Percentile: Top 65%
Geophysical and Geoelectrical Methods
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