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Magnetic inversion constrained by probabilistic magnetotellurics models: methodology and application

Authors: Jeremie Giraud; Hoel Seille; Vitaliy Ogarko; Gerhard Visser; Mark Lindsay; Mark Jessell;

Magnetic inversion constrained by probabilistic magnetotellurics models: methodology and application

Abstract

We introduce a sequential inversion workflow where we integrate magnetotelluric and magnetic data. We first perform probabilistic MT inversions, from which we derive 2D or 3D probabilities of observing an interface between rock units of contrasting electrical resistivity. Secondly, we use these probabilities to partition the model into domains where different rock units, or combinations thereof, can be observed. Using these domains, we define constraints for magnetic data inversion where the corresponding intervals (joint or disjoint) of magnetic susceptibility are used as spatially varying bound constraints for inversion. After introducing the methodology, we investigate the proof-of-concept using a geologically realistic synthetic model and conclude that the proposed methodology is applicable to field data. We then present ongoing investigations in the Cloncurry area (Queensland) on a 2D line to image the thickness of the sedimentary cover and to reduce interpretation uncertainty.

Open-Access Online Publication: March 03, 2023

Keywords

inversion, magnetotellurics, integration., constraints, potential fields

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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