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The AAPG/Datapages Combined Publications Database
Houston Geological Society Bulletin
Abstract
Abstract: Litho-Stratigraphy of the Miocene in the Texas and Louisiana
Transitional Zone: How to
Recognize Sequence Boundaries and Hydrocarbons from Seismic Data
By
1Geophysical Development Corporation
2ORYX
3Colorado School of Mines
Throughout the Tertiary basins in the
Gulf Coast, there are areas where the
acoustic-impedance values of shales, wet
sands and gas sands are approximately
equal. Hydrocarbon zones do not appear
as bright spots and are difficult to detect
with conventional
3-D
seismic data. In
some areas, even AVO has not been successful.
This difficulty normally occurs
when the rock properties are not calibrated
to the various local AVO attributes.
A
3-D
AVO study in the Texas and
Louisiana transitional zone has been completed
using well log suites, core analyses,
and field production histories.
Results from this study are
illustrated in Figure 1, where a
conventional
3-D
section is
shown in the upper portion.
This section is a mixture of both
chrono- and litho-stratigraphic
reflections. In the bottom portion
of the figure only the
litho-stratigraphic reflections
are retained.
Correlation of the well log
curves and the field production
histories to the lower section
indicate that all the high-amplitude
events are associated with
proven hydrocarbon zones. It is
obvious that the reflection
amplitudes in the upper conventional
3-D
seismic section
do
not identify lithology if the
high-amplitude events in the
lower litho-stratigraphic section
are truly hydrocarbon events.
The basis for unraveling complex AVO responses to various rock types and fluid content is a two-term seismic reflection model. The first term, the Normal Incidence reflectivity (NI), which has historically been related to chrono-stratigraphic reflections, responds to changes in acoustic impedance. The second term, defined as the Poisson Reflectivity (PR), relates to changes in Poisson's Ratio. Unlike NI, PR remains sensitive to lithologic variations within the geologic environment and is thus associated with lithostratigraphic reflections. The rock property contrasts, which generate the NI and PR response, become evident by crossplotting well log values of the natural log of acoustic impedance versus Poisson's Ratio. The crossplots show that even when the sands have the same acoustic impedance as the encasing shales, Poisson's ratio discriminates between them. To obtain a robust estimate of PR from seismic data, the AVO processing incorporates corrections for anisotropy, which extends the AVO analysis out to very-far offset traces. After calibration to log data, the resulting PR sections depict reservoir quality sands and potential pay intervals as litho-stratigraphic sections.
Figure 1. Conventional
3-D
section (upper) contains both lithostratigraphic and chronostratigraphic reflections and shows little indication of hydrocarbons while the lithostratigraphic section (lower) depicts eight known gas reservoirs.
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