Authors / CoAuthors
Hawkins, R. | Brodie, R. | Sambridge, M.
Abstract
This paper presents the application of a novel trans-dimensional sampling approach to a time domain airborne electromagnetic (AEM) inverse problem to solve for plausible conductivities of the subsurface. Geophysical inverse problems, such as time domain AEM, are well known to have a large degree of non-uniqueness. Common least-squares optimization approaches fail to take this into account and provide a single solution with linearized estimates of uncertainty which can result in overly optimistic appraisal of the conductivity of the subsurface. In this new non-linear approach, the spatial complexity of a 2D profile is controlled directly by the data. By examining an ensemble of proposed conductivity profiles it accommodates non-uniqueness and provides more robust estimates of uncertainties. <b>Citation:</b> Hawkins, R., Brodie, R. C., & Sambridge, M. (2018). Trans-dimensional Bayesian inversion of airborne electromagnetic data for 2D conductivity profiles. <i>Exploration Geophysics</i>, 49(2), 134–147. https://doi.org/10.1071/EG16139
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document
eCat Id
102642
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Keywords
- theme.ANZRC Fields of Research.rdf
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- EARTH SCIENCES
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- airborne electromagnetic - AEM
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- inversion
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- Bayisian
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- non-uniqueness
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- trans-dimensional
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- uncertainty
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- Published_External
Publication Date
2016-12-01T00:00:00
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completed
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Scientific publication of a new geophysical inversion method.
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geoscientificInformation
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Exploration Geophysics Volume 49, 2018 - Issue 2 134-147
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Publication submitted to Exploration Geophysics on 11 November 2016
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[-54.75, -9.2402, 112.92, 159.11]
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Spatial Resolution
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