Analysis of aeromagnetic filtering techniques in locating the primary target in sedimentary terrain: A review
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This article analyzes some aeromagnetic filtering
techniques for mitigating deceptive geophysical conceptions
that may result in a distorted range of geological
information from aeromagnetic data. The implication of
using the aeromagnetic method, data processing, and
enhancement to distinguish sediment-produced anomalies
was considered. Two methods to locate buried faults
in aeromagnetic data were compared: Edge and fault
detection were considered using the magnetic contrast
and horizontal gradient methods, whereas rapid depth
estimation was considered using the Euler deconvolution
method and Signum method. The general challenge to
find the magnetic anomaly depth and delineate edges
relies on geophysical filtering techniques discussed in
order to maintain its geological relevance. The magnetic-
contrast layer model signatures help clarify the
existence of intra-sedimentary faults. The horizontal gradient
approach relative to other derivative methods has
better noise stability and fast adaptation to grids without
modifying parameters. However, the Signum transform
(ST) approach offers a more special solution in depth estimation than the Euler’s deconvolution approach whose
solution relies on the required choice of default shape
parameters and windows. The Euler deconvolution procedure
may not be able to detect structures found by the
ST approach and vice versa. As a result, these techniques
may be used in conjunction with one another during
analysis, as complementary interpretation tools. This
review will however aid in the analysis of information
Keywords
QC Physics