Laterally constrained inversion of fixed-wing frequency-domain AEM data

Tartaras, E.; Beamish, D.. 2006 Laterally constrained inversion of fixed-wing frequency-domain AEM data. In: Near Surface 2006, Helsinki, Finland, 4-6 Sept 2006. Netherlands, EAGE, 1-5.

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Official URL: http://dx.doi.org/10.3997/2214-4609.201402625

Abstract/Summary

New highresolution airborne geophysical surveys of the UK, undertaken with the system developed under the Joint Airbornegeoscience Capability programme, established between the Geological Survey of Finland and the British Geological Survey, will provide large 4frequency airborne electromagnetic data sets. These data sets will be used to characterise the conductivity distribution of the subsurface for environmental and exploration purposes. To invert these large data sets in a fast and robust manner we have developed “LC1DINV”, a laterally constrained onedimensional inversion algorithm. This algorithm inverts simultaneously for all observation points along a profile and regularises the inverse problem by requiring that differences between model parameters at adjacent points be small. We use the conjugate gradient method for minimising the data misfit subject to the lateral constraints and a priori model terms. We have inverted 4frequency data obtained over Suurpelto, a test area in southern Finland, characterised by conductive clays overlying a highly resistive granitic shield. The results show that LC1DINV can successfully locate the depth extent and variations of the clays. Comparison of these results with those obtained with two other types of inversion shows that LC1DINV produces welldefined layer boundaries and laterally smooth crosssections.

Item Type:	Publication - Conference Item (Paper)
Programmes:	BGS Programmes > Other
NORA Subject Terms:	Earth Sciences
Date made live:	09 Dec 2015 13:19 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/512363

Item Type:

Publication - Conference Item (Paper)

Programmes:

BGS Programmes > Other

NORA Subject Terms:

Earth Sciences

Date made live:

09 Dec 2015 13:19 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/512363