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...
Guardado en:
Autores principales: | , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/c1d797685dc64c8cbc5de36342062162 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:c1d797685dc64c8cbc5de36342062162 |
---|---|
record_format |
dspace |
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 AT anyareading insightsandlessonsfrom3dgeologicalandgeophysicalmodelingofmineralizedterranesintasmania |
_version_ |
1718411156384645120 |