3D Inversion of Large-scale Time Domain Electromagnetic Data

Schwarzbach, Christoph; Holtham, Elliot; Haber, Eldad

doi:10.1071/aseg2013ab064

Cited by 1 publication

(1 citation statement)

References 7 publications

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“…This procedure results in a highly parallel 3D inversion algorithm that can handle large datasets. It builds on the approach described by Haber et al, (2012), Schwarzbach et al, 2013, andYang et al, (2014). For this project, the OcTree mesh's smallest cells were 25m x 25m x 25m.…”

Section: D Inversionmentioning

confidence: 99%

1, 2.5 and/or 3D Inversion of Airborne EM data - options in the search for sediment-hosted base metal mineralisation in the McArthur Basin, Northern Territory

Munday

Soerensen

Marchant

et al. 2018

ASEG Extended Abstracts

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The southern McArthur Basin in Australia's Northern Territory is host to some Tier-1 sediment-hosted base metal mineral deposits including the McArthur River Zn-Pb-Ag mine. Airborne electromagnetic (AEM) data sets have been employed as a key exploration technology in the search for these mineral systems. A geological interpretation of results arising from the use of different inversion techniques, including a 1, 2.5 and 3D methods, was undertaken on a helicopter EM data set acquired over a structurally complex sediment package in the Batten Fault Zone north of the McArthur River Mine. The exploration targets were conductive, mineralised units (HYC pyritic shale member) associated with the Barney Creek Formation. Results from this study suggested that although the model fits were good, the derived conductivity models for the 2.5D and 3D inversions appeared to be smooth representations of geological reality, particularly when compared with data from drilling and surface geological mapping. Superficially, the 1D smooth model layered Earth inversions appear to map geological variability and structural complexity in greater detail even though the structures are more 3D in nature. IP effects are observed in the data and influence the modelled structure, but can be accounted for and complement the non IP 1D inversion results. The outcome of this study also indicates that when employing higher order inversion methods in the interpretation of AEM data sets, there may be significant benefit in asking a contractor/consultant for 1D inversion results as well. In the resulting interpretations if conductors appear in one but not the other, it is worth asking the question why?

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Section: D Inversionmentioning

confidence: 99%