Insights and Lessons from 3D Geological and Geophysical Modeling of Mineralized Terranes in Tasmania

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 mode...

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Autores principales: Daniel Bombardieri, Mark Duffett, Andrew McNeill, Matthew Cracknell, Anya Reading
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Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/c1d797685dc64c8cbc5de36342062162
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spelling oai:doaj.org-article:c1d797685dc64c8cbc5de363420621622021-11-25T18:26:11ZInsights and Lessons from 3D Geological and Geophysical Modeling of Mineralized Terranes in Tasmania10.3390/min111111952075-163Xhttps://doaj.org/article/c1d797685dc64c8cbc5de363420621622021-10-01T00:00:00Zhttps://www.mdpi.com/2075-163X/11/11/1195https://doaj.org/toc/2075-163XOver 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.Daniel BombardieriMark DuffettAndrew McNeillMatthew CracknellAnya ReadingMDPI AGarticle3D modelingpotential fieldgravitymagneticsinversionMineralogyQE351-399.2ENMinerals, Vol 11, Iss 1195, p 1195 (2021)
institution DOAJ
collection DOAJ
language EN
topic 3D modeling
potential field
gravity
magnetics
inversion
Mineralogy
QE351-399.2
spellingShingle 3D modeling
potential field
gravity
magnetics
inversion
Mineralogy
QE351-399.2
Daniel Bombardieri
Mark Duffett
Andrew McNeill
Matthew Cracknell
Anya Reading
Insights and Lessons from 3D Geological and Geophysical Modeling of Mineralized Terranes in Tasmania
description 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.
format article
author Daniel Bombardieri
Mark Duffett
Andrew McNeill
Matthew Cracknell
Anya Reading
author_facet Daniel Bombardieri
Mark Duffett
Andrew McNeill
Matthew Cracknell
Anya Reading
author_sort Daniel Bombardieri
title Insights and Lessons from 3D Geological and Geophysical Modeling of Mineralized Terranes in Tasmania
title_short Insights and Lessons from 3D Geological and Geophysical Modeling of Mineralized Terranes in Tasmania
title_full Insights and Lessons from 3D Geological and Geophysical Modeling of Mineralized Terranes in Tasmania
title_fullStr Insights and Lessons from 3D Geological and Geophysical Modeling of Mineralized Terranes in Tasmania
title_full_unstemmed Insights and Lessons from 3D Geological and Geophysical Modeling of Mineralized Terranes in Tasmania
title_sort insights and lessons from 3d geological and geophysical modeling of mineralized terranes in tasmania
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/c1d797685dc64c8cbc5de36342062162
work_keys_str_mv AT danielbombardieri insightsandlessonsfrom3dgeologicalandgeophysicalmodelingofmineralizedterranesintasmania
AT markduffett insightsandlessonsfrom3dgeologicalandgeophysicalmodelingofmineralizedterranesintasmania
AT andrewmcneill insightsandlessonsfrom3dgeologicalandgeophysicalmodelingofmineralizedterranesintasmania
AT matthewcracknell insightsandlessonsfrom3dgeologicalandgeophysicalmodelingofmineralizedterranesintasmania
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