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The AAPG/Datapages Combined Publications Database
Houston Geological Society Bulletin
Abstract
Abstract:
Stratigraphic
and
Structural
Interpretation
of the
Gulf of Mexico Shelf from Spectral Imaging
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By
Fairfield Industries
SPectral Imaging of Correlative Events (SPICE) calculates a bed-form boundary framework from the seismic data and highlights detail from subtle changes in the seismic wavelet. The concept of spectral imaging is presented in the context of a well log model and the relationship of SPICE to impedance layering. Further validation of the method is provided by a detailed sequence stratigraphy analysis using well logs and seismic data from the Northern Gulf of Mexico.
SPICE is based on wavelet transform decomposition and singularity
analysis of migrated seismic data. SPICE
uses the localization properties of the wavelet
transform in time and frequency to produce a
unique display that provides a boundary framework
of the subsurface that is rich in structural
and
stratigraphic
detail. This advances seismic
interpretation
closer to the goal of producing
accurate geologic mapping of the subsurface.
SPICE offers a straightforward way to interpret
a seismic section similar to a geologist in the
field who maps beds and faults directly from the
outcrop.
Most seismic interpretation
today is performed on variable area
displays of the seismic amplitude of a wavelet that changes with
depth. This has historically posed a number of significant problems
for the interpreter. Reflections in seismic data are blurred
representations of the actual stratigraphy. The interference of a
changing pulse shape with a wide variety of impedance contrasts
in the subsurface adds a significant element of uncertainty to the
final mapping of reservoir, seal and trap. The richness and nonstationary
character of the seismic trace require a process that
localizes rapidly changing features in the spectrum. The unique
SPICE calculation reduces the uncertainty in picking subtle bed-form
boundaries and brings out the full extent of the resolution
of the seismic amplitude data.
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