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Insights and lessons from 3D geological and geophysical modeling of mineralized terranes in Tasmania


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Bombardieri, D, Duffett, M, McNeill, A, Cracknell, M ORCID: 0000-0001-9843-8251 and Reading, A ORCID: 0000-0002-9316-7605 2021 , 'Insights and lessons from 3D geological and geophysical modeling of mineralized terranes in Tasmania' , Minerals, vol. 11, no. 11 , pp. 1-36 , doi: 10.3390/min11111195.

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Over the last two decades, Mineral Resources Tasmania has been developing regional 3D geological and geophysical models for prospective terranes at a range of scales and extents as part of its suite of precompetitive geoscience products. These have evolved in conjunction with developments in 3D modeling technology over that time. Commencing with a jurisdiction-wide 3D model in 2002, subsequent modeling projects have explored a range of approaches to the development of 3D models as a vehicle for the better synthesis and understanding of controls on ore-forming processes and prospectivity. These models are built on high-quality potential field data sets. Assignment of bulk properties derived from previous well-constrained geophysical modeling and an extensive rock property database has enabled the identification of anomalous features that have been targeted for follow-up mineral exploration. An aspect of this effort has been the generation of uncertainty estimates for model features. Our experience is that this process can be hindered by models that are too large or too detailed to be interrogated easily, especially when modeling techniques do not readily permit significant geometric changes. The most effective 3D modeling workflow for insights into mineral exploration is that which facilitates the rapid hypothesis testing of a wide range of scenarios whilst satisfying the constraints of observed data.

Item Type: Article
Authors/Creators:Bombardieri, D and Duffett, M and McNeill, A and Cracknell, M and Reading, A
Keywords: 3D modeling, potential field, gravity, magnetics, inversion
Journal or Publication Title: Minerals
Publisher: MDPI
ISSN: 2075-163X
DOI / ID Number: 10.3390/min11111195
Copyright Information:

Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons 4.0 International (CC BY 4.0) license (

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