Bayesian inversion of AEM data for a multidimensional earth
Project Overview
Project Number
M0435
Total Grant Value
$217,000
Program Area
MRIWA Contribution
$99,000
Project Theme
Detection Technology
Project Period
2014 - 2015
Summary
The study was concerned with the development of strategies to establish confidence in 2.5D lithological models derived from airborne electromagnetic (AEM) data using a Markov Chain Monte Carlo (MCMC) algorithm.
Keywords: AEM, Bayesian Inversion, MAPS, SISIM, SNESIM, MCMC, Harmony, Kintyre
Download the Final Report
Report Number
313
Published
August 2015
Report Authors
D. Annetts, J. Hauser
Lead Organisation
CSIRO- Mineral Resources Flagship
Sponsors
CAMECO
First Quantum
Rio Tinto Exploration
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Page was last reviewed 29 December 2022