| Summary: | Electromagnetic depth sounding (EMDS) data are
computed for simulated multi-layer earth models at
different frequencies and geometries using digital linear
filters. Detectability of sub-surface layers is computed as
point-to-point difference of data instances between threelayer - homogeneous layer and two-layer - homogeneous
layer media for similar range of frequencies. H and Ktype earth models are also considered in the
computations. Response curves, computed for two
different layer earth media models are superimposed,
thus, the separation between curves is the direct
indication of the involved “detectability effect”. The
degree of separation among response curves between two
geometrically or parametrically changing data properties,
called resolution, has direct impact on detectability effect.
Though detectability does not provide any qualitative or
quantitative interpretation of data attributes, computed
detectability effect significantly changes EMDS response
resolution at varying layer-earth data attributes.
Knowledge on strength of detectability and scalable
properties among layer-earth media are interpreted based
on resolution and coherency between two model response
curves. Because of change in layered earth properties,
varying horizontal and vertical resolution and coherency
attributes between response curves provide considerable
detectability effect. This process, termed as data-mining,
facilitates extraction of knowledge of layer properties
within multi-layer earth media. This detectability effect
provides knowledge of n-layer-earth simulation, which
can effectively respond to and aid the interpretation of
actual geological models deduced from experimental
data. These studies could prove to be useful for
investigating shallow petroleum oil and gas seeps and
their associated sediment alterations in the basin margin
areas.
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