3-D geological and petrophysical models with synthetic geophysics based on data from the Hamersley region (Western Australia)

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3-D geological and petrophysical models with synthetic geophysics based on data from the Hamersley region (Western Australia)

M. Jessell 1,2, J. Giraud 1,2, M. Lindsay 1,2                                                     

1 Centre for Exploration Targeting (School of Earth Sciences), University of Western Australia, 35 Stirling Highway, 6009 Crawley, Australia

2 Mineral Exploration Cooperative Research Centre, School of Earth Sciences, University of Western Australia, 35 Stirling Highway, WA Crawley 6009, Australia

Contact author: Jeremie Giraud (jeremie.giraud@uwa.edu.au)

Companion dataset to the paper:

Structural, petrophysical and geological constraints in potential field inversion using the Tomofast-x open-source code, J. Giraud, V. Ogarko, R. Martin, M. Lindsay, M. Jessell, Geoscientific Model Development Discussions.

This dataset contains models and data shown in the paper, in both 2D and 3D:

1. Geological model

Reference lithology voxet:

The reference geological model was obtained using public data from the Geological Survey of Western Australia and modified subsequently (stretched vertically and flattened at surface level) for the purpose of this study.

Probability voxet
The lithology probability voxet was derived using Monte Carlo simulations for uncertainty estimation as mentioned in the paper.

2. True and inverted models for density and magnetic susceptibility

Derivation is detailed in the paper; it uses fictitious density and magnetic susceptibility values.

3. Bouguer and total magnetic field anomaly

Calculation is detailed in the paper.

The authors are supported, in part, by Loop – Enabling Stochastic 3D Geological Modelling (LP170100985) and the Mineral Exploration Cooperative Research Centre (MinEx CRC) whose activities are funded by the Australian Government's Cooperative Research Centre Program. This is MinEx CRC Document 2021/3. Mark Lindsay acknowledges funding from the ARC and DECRA DE190100431.

It is a companion dataset to: 
Vitaliy Ogarko, Jeremie Giraud, & Roland. (2021, February 5). Tomofast-x v1.0 source code (Version 1.0). Zenodo. http://doi.org/10.5281/zenodo.4452620