Stochastic Modelling of Mineral Exploration Targets

Rapid, efficient, and accurate prediction of mineral occurrence that takes uncertainty into 20 account is essential to optimise defining exploration targets. Traditional approaches to mineral 21 potential mapping often fail to fully appreciate spatial uncertainties of input predictors and their 22 spatial cross-correlation. In this study a stochastic technique based on multivariate 23 geostatistical simulations and ensemble tree-based learners is introduced for predicting and 24 uncertainty quantification of mineral exploration targets. The technique is tested on a synthetic 25 case inspired by the characteristics of a hydrothermal mineral system model and a real-world 26 dataset from the Yilgarn Craton in Western Australia. Results from the two cases proved the 27 superior performance and robustness of the proposed stochastic technique, especially when 28 dealing with high dimensional and large data sets.


<b>Citation:</b> Talebi, H., Mueller, U., Peeters, L.J.M. et al. Stochastic Modelling of Mineral Exploration Targets. <i>Math Geosci </i>54, 593–621 (2022). https://doi.org/10.1007/s11004-021-09989-z

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Identification info

Date (Creation)
2019-09-24
Date (Publication)
2023-10-26T22:45:18
Citation identifier
Geoscience Australia Persistent Identifier/https://pid.geoscience.gov.au/dataset/ga/131497

Identifier

Codespace

Digital Object Identifier

Cited responsible party
Role Organisation / Individual Name Details
Author

Talebi, H.

 External Contact
Author

Mueller, U.

 External Contact
Author

Peeters, L.J.M..

 External Contact
Author

Otto, A.

 External Contact
Author

de Caritat, P.

 MEG Internal Contact
Author

Tolosana-Delgado, R.

 External Contact
Author

van den Boogaart, K.G.

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Publisher

Springer Nature

 External Contact
Name

Mathematical Geosciences

Issue identification

Volume 54, 2022

Page

593–621

Purpose

Manuscript for external publication

Status
Completed
Point of contact
Role Organisation / Individual Name Details
Point of contact

Commonwealth of Australia (Geoscience Australia)

 Voice
Resource provider

Minerals, Energy and Groundwater Division

 External Contact
Point of contact

Main, P.

 MEG Internal Contact
Spatial representation type
Topic category
  • Geoscientific information

Extent

Extent

N
S
E
W


Maintenance and update frequency
As needed

Resource format

Title

Product data repository: Various Formats

Website

Data Store directory containing the digital product files

Data Store directory containing one or more files, possibly in a variety of formats, accessible to Geoscience Australia staff only for internal purposes

theme.ANZRC Fields of Research.rdf

  • Stochastic Analysis and Modelling

  • EARTH SCIENCES

  • Exploration Geochemistry

Keywords

  • machine Learning

Keywords

  • predictive model

Keywords

  • mineral potential mapping

Keywords

  • spatial data

Keywords

  • multivariate geostatistical simulation

Keywords

  • Published_External

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Title

Creative Commons Attribution 4.0 International Licence

Alternate title

CC-BY

Edition

4.0

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http://creativecommons.org/licenses/

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License
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© 2022, International Association for Mathematical Geosciences

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Title

Australian Government Security ClassificationSystem

Edition date
2018-11-01T00:00:00
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https://www.protectivesecurity.gov.au/Pages/default.aspx

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Unclassified
Language
English
Character encoding
UTF8

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Statement

Article submitted to Mathematical Geosciences journal

Metadata constraints

Title

Australian Government Security Classification System

Edition date
2018-11-01T00:00:00
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https://www.protectivesecurity.gov.au/Pages/default.aspx

Classification
Unclassified

Metadata

Metadata identifier
urn:uuid/5351b195-2077-40ad-ac86-be2ece2fd452

Title

GeoNetwork UUID

Language
English
Character encoding
UTF8
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Role Organisation / Individual Name Details
Point of contact

Commonwealth of Australia (Geoscience Australia)

 Voice
Point of contact

Main, P.

 MEG Internal Contact

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Document
Name

Journal Articles and Conference Papers

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Title

Geoscience Australia - short identifier for metadata record with

uuid

Citation identifier
eCatId/131497

Metadata linkage

https://ecat.ga.gov.au/geonetwork/srv/eng/catalog.search#/metadata/5167d912-6784-4371-9938-3931e84ca6f1

Metadata linkage

https://ecat.ga.gov.au/geonetwork/srv/eng/catalog.search#/metadata/5351b195-2077-40ad-ac86-be2ece2fd452

Metadata linkage

https://ecat.ga.gov.au:80/geonetwork/srv/eng/catalog.search#/metadata/5351b195-2077-40ad-ac86-be2ece2fd452

Metadata linkage

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Metadata linkage

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Date info (Creation)
2019-04-08T01:55:29
Date info (Revision)
2019-04-08T01:55:29

Metadata standard

Title

AU/NZS ISO 19115-1:2014

Metadata standard

Title

ISO 19115-1:2014

Metadata standard

Title

ISO 19115-3

Title

Geoscience Australia Community Metadata Profile of ISO 19115-1:2014

Edition

Version 2.0, September 2018

Citation identifier
https://pid.geoscience.gov.au/dataset/ga/122551

 
 

Spatial extent

N
S
E
W


Keywords

machine Learning mineral potential mapping multivariate geostatistical simulation predictive model spatial data
theme.ANZRC Fields of Research.rdf
EARTH SCIENCES Exploration Geochemistry Stochastic Analysis and Modelling

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