Automatic Interpretation Of Magnetic Data Using Euler Deconvolution With Modified Algorithm
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Date
2018-04
Authors
Usman, Nuraddeen
Journal Title
Journal ISSN
Volume Title
Publisher
Universiti Sains Malaysia
Abstract
The conventional Euler deconvolution has five unknown parameters to be
solve which are the location of source (x0, y0 and z0), the background field (B) and the
structural index (N). Among these 5 unknowns, the structural index is to be manually
selected by the user. The manual input of structural index into the Euler equation
makes the technique to be subjective and semi-automated. The objectives of this
research are, to automate Euler deconvolution equation and introduce a filter for
discriminating reliable solution from the inversion output. It is also part of the
objectives of this research, to assess the effect of inclination on the new technique
and investigate the accuracy of the introduced algorithm. Multiple linear regression
was used to solve the five unknown parameters of Euler deconvolution relation for
gridded magnetic data. To provide an effective filtering, six filters were analysed in
order to select a best one that would be used as an aid for filtering Euler solutions.
Other criteria used for filtering of the inversion output are distance from the centre of
convolution window, deviation of structural index and regression error. These
criterions are integrated, automated and used for selecting more reliable solutions
from the inversion output. The effect of inclination on this technique is assessed
using synthetic (simple and combined) and field model’s studies. Each model is
simulated using different inclinations (0°, 15°, 30°, 45°, 60°, 75° and 90°) with other
parameters kept constant. The derivatives of each data set were computed, inverted,
more reliable solutions are selected and the results were compared. For real data, the
inverted and filtered results from the total field and it’s reduced to the pole data were
also compared.
Description
Keywords
Automatic interpretation of magnetic data , deconvolution with modified algorithm