Handling noise in AEM inversion – implications for subsurface characterisation

Shane Mulè; Camilla Soerensen; Tim Munday

doi:10.1080/22020586.2019.12073183

2nd Australasian Exploration Geoscience Conference: Data to Discovery

ISSN: 2202-0586
E-ISSN:

oa Handling noise in AEM inversion – implications for subsurface characterisation
Authors Shane Mulè^a, Camilla Soerensen^b and Tim Munday^c
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^a CSIRO, Perth, , Australia, [email protected] ^b CSIRO, Perth, , Australia, [email protected] ^c CSIRO, Perth, , Australia, [email protected]
Publisher: Australian Society of Exploration Geophysicists
Source: ASEG Extended Abstracts, Volume 2019, Issue 2nd Australasian Exploration Geoscience Conference: Data to Discovery, Dec 2019, p. 1 - 4
DOI: https://doi.org/10.1080/22020586.2019.12073183
- Published online: 01 Dec 2019

Abstract

Summary

Noise is a fundamentally limiting factor for what aspects of the subsurface can be imaged using an AEM system. This paper compares the use of two inversion techniques and two different methods of estimating data noise, to determine how the choice of noise handling impacts inversion results. The use of processing to remove noisy data from an AEM dataset is shown to provide an improved result over using more traditional survey wide system noise level estimates. This result highlights the importance of critically assessing noise present within AEM data and provides a foundation for further development of techniques which can identify and remove noisy data.

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/content/journals/10.1080/22020586.2019.12073183

Article Type: Research Article

Keyword(s): AEM inversion; noise; processing

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oa Handling noise in AEM inversion – implications for subsurface characterisation

Abstract

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