2015
DOI: 10.1071/eg14046
|View full text |Cite
|
Sign up to set email alerts
|

Rapid approximate inversion of airborne TEM

Abstract: Rapid interpretation of large airborne transient electromagnetic (ATEM) datasets is highly desirable for timely decision-making in exploration. Full solution 3D inversion of entire airborne electromagnetic (AEM) surveys is often still not feasible on current day PCs. Therefore, two algorithms to perform rapid approximate 3D interpretation of AEM have been developed. The loss of rigour may be of little consequence if the objective of the AEM survey is regional reconnaissance. Data coverage is often quasi-2D rat… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

0
4
0

Year Published

2015
2015
2022
2022

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 16 publications
(4 citation statements)
references
References 10 publications
0
4
0
Order By: Relevance
“…Formulae for moments have been derived for a number of geoelectric models: spheres in a uniform field (Smith and Lee 2001), wire-loop circuits, spheres in a dipolar field (Smith and Lee 2002a;, thin sheets, thick sheets and half spaces (Smith and Lee 2002b;Lee et al 2003), and a sphere below an overburden (Desmarais 2018a;2018b). These models have been used to estimate the conductance and conductivity (Smith 2000;Smith et al 2005) and to model or invert EM data (Hyde 2002;Smith and Salem 2007;Fullagar 2010, 2012;Fullagar and Schaa 2014;Fullagar et al 2015). Moments have also been used to map airborne EM data (Bournas et al 2018) and interpret electromagnetic data for detecting unexploded ordnance (Snyder et al 2010;Hall 2014).…”
Section: Introductionmentioning
confidence: 99%
“…Formulae for moments have been derived for a number of geoelectric models: spheres in a uniform field (Smith and Lee 2001), wire-loop circuits, spheres in a dipolar field (Smith and Lee 2002a;, thin sheets, thick sheets and half spaces (Smith and Lee 2002b;Lee et al 2003), and a sphere below an overburden (Desmarais 2018a;2018b). These models have been used to estimate the conductance and conductivity (Smith 2000;Smith et al 2005) and to model or invert EM data (Hyde 2002;Smith and Salem 2007;Fullagar 2010, 2012;Fullagar and Schaa 2014;Fullagar et al 2015). Moments have also been used to map airborne EM data (Bournas et al 2018) and interpret electromagnetic data for detecting unexploded ordnance (Snyder et al 2010;Hall 2014).…”
Section: Introductionmentioning
confidence: 99%
“…More sophisticated approaches involve using spherical models to generate discrete conductor sections (Smith and Salem, 2007), in analogy with conductivity depth sections (Macnae et al, 1991). The zeroth-order moments (or resistive limit) has also been used for modelling multiple spheres, as there is no interaction at the resistive limit and the moments can simply be summed (Hyde, 2002;Fullagar, 2010, 2012;Fullagar and Schaa, 2014;Fullagar et al, 2015). The ratio of successively higher-order moments can be used to estimate the time constant of a decay (Smith and Lee, 2002a;Guo et al, 2013).…”
Section: Introductionmentioning
confidence: 99%
“…Discrete conductor models have important applications for interpretation of data acquired using electromagnetic geophysical methods. Common models include the plate and sphere, which are commonly used for interpretation of borehole, ground, and airborne electromagnetic (BHEM, GEM, and AEM) data (Dyck et al, 1981;Dyck and West, 1984;Lamontagne et al, 1988;Macnae et al, 1998;Schaa, 2010;Smith and Wasylechko, 2012;Fullagar et al, 2015;Macnae, 2015;Vallée, 2015). In particular, the free-space discrete conductor model is attractive, especially in resistive envi-ronments such as large crystalline terranes due to the ease of computation (Annan, 1974;Smith and Lee, 2001).…”
Section: Introductionmentioning
confidence: 99%