Authors / CoAuthors
Brodie, R.C. | Reid, J.
Abstract
Ross C Brodie James Reid Monte Carlo Inversion of SkyTEM AEM data from Lake Thetis, Western Australia A SkyTEM airborne electromagnetic dataset was inverted using a 1D reversible jump Markov chain Monte Carlo algorithm. The inversion of each dual-moment sounding generates an ensemble of 300,000 models that fit the data. The algorithm automatically varies the number of layers in the large range of models that are tested. Analysis of the statistical properties of the ensemble yields a wealth of information on the probable conductivity distribution plus the mean, mode, median and most likely summary models. Robust information on the non-uniqueness and uncertainty of the results is also afforded by the ensemble. These are conveyed on conductivity map and section products. Estimates of the probable depths to interfaces are a further outcome. These depth estimates show great potential as an aid for mapping geological surfaces. The resulting conductivity maps and sections are coherent and appear to be geologically realistic on face value. However it is demonstrated with 3D modelling that a plausible hydrogeological interpretation on the sections is likely to be an artefact of 1D inversion of a 3D geological scenario. Key words: Electromagnetic, airborne, inversion, Monte Carlo, uncertainty, 3D.
Product Type
nonGeographicDataset
eCat Id
75540
Contact for the resource
Custodian
Owner
Custodian
Cnr Jerrabomberra Ave and Hindmarsh Dr GPO Box 378
Canberra
ACT
2601
Australia
Keywords
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- External Publication
- ( Theme )
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- Airborne Electromagnetics
- ( Theme )
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- numerical modelling
- ( Theme )
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- 3D model
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- AU-WA
- Australian and New Zealand Standard Research Classification (ANZSRC)
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- Electrical and Electromagnetic Methods in Geophysics
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- Published_Internal
Publication Date
2013-01-01T00:00:00
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notPlanned
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geoscientificInformation
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Unknown
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Extents
[-30.0, -20.0, 114.0, 116.0]
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Spatial Resolution
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Work undertaken with GA and ground probe